Thermal Model and Countermeasures for Future Smart Glasses
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sensors Article Thermal Model and Countermeasures for Future Smart Glasses † Kodai Matsuhashi, Toshiki Kanamoto and Atsushi Kurokawa * Graduate School of Science and Technology, Hirosaki University, Aomori 036-8560, Japan; ms19518@eit.hirosaki-u.ac.jp (K.M.); kana@hirosaki-u.ac.jp (T.K.) * Correspondence: kurokawa@eit.hirosaki-u.ac.jp † This paper is an extended version of Matsuhashi, K.; Kurokawa, A. Thermal Countermeasures of Glass Wearable Devices published in the Proceedings of ICCE-TW 2019, Yilan, Taiwan, 20–22 May 2019 and Matsuhashi, K.; Kanamoto, T.; Kurokawa, A. Thermal Resistance Model and Analysis for Future Smart Glasses, published in Proceedings of IMPACT 2019, Taipei, Taiwan, 23–25 October 2019. Received: 17 January 2020; Accepted: 5 March 2020; Published: 6 March 2020 Abstract: The market for wearable devices such as smart watches and smart glasses continues to grow rapidly. Smart glasses are attracting particular attention because they offer convenient features such as hands-free augmented reality (AR). Since smart glasses directly touch the face and head, the device with high temperature has a detrimental effect on human physical health. This paper presents a thermal network model in a steady state condition and thermal countermeasure methods for thermal management of future smart glasses. It is accomplished by disassembling the state by wearing smart glasses into some parts, creating the equivalent thermal resistance circuit for each part, approximating heat-generating components such as integrated circuits (ICs) to simple physical structures, setting power consumption to the heat sources, and providing heat transfer coefficients of natural convection in air. The average temperature difference between the thermal network model and a commercial thermal solver is 0.9 ◦ C when the maximum temperature is 62 ◦ C. Results of an experiment using the model show that the temperature of the part near the ear that directly touches the skin can be reduced by 51.4% by distributing heat sources into both sides, 11.1% by placing higher heat-generating components farther from the ear, and 65.3% in comparison with all high conductivity materials by using a combination of low thermal conductivity materials for temples and temple tips and high conductivity materials for rims. Keywords: thermal management; wearable device; thermal modeling; smart glasses; thermal analysis 1. Introduction Wearable devices have become popular as state-of-the-art electronic devices, such as smart watches, smart glasses, smart clothing, and fitness trackers, have been made commercially available for consumer and industrial uses. Currently, smart watches are the wearable device with the largest market size. However, smart glasses have also been released by many companies [1–7] and can be used for various purposes such as medical care, health, learning/education, and entertainment. Differences in the uses between the smart glasses and the wrist-worn wearables such as smart watches and fitness trackers come from the differences between wrists and eyes. Smart glasses have advantages that users can look at various things such as maps (e.g., current location) and movies with augmented reality (AR) through a display, and their eye and facial movements can be recognized for medical care, health monitoring, and dozing prevention. In the future, heat issues will become more serious because smart glasses will require faster central processing unit (CPU) and larger memory to deal with enormous amounts of data. Therefore, thermal design is becoming one of the key technologies for future wearable devices. Sensors 2020, 20, 1446; doi:10.3390/s20051446 www.mdpi.com/journal/sensors
Sensors 2020, 20, 1446 2 of 20 Various techniques for utilizing smart glasses have been developed by many researchers. For medical uses, techniques have been presented for clinical and surgical applications [8], medical emergency situations [9], and disaster medicine [10]. For recognition and interface, techniques have been presented for head gestures [11], face detection [12], eye movements [13], user authentication [14], estimation of respiration rate [15], speech interaction with eye blinking detection [16], context-aware lightning control [17], distance learning [18], and indoor localization [19], drowsiness and fatigue detection to increase road safety [20], countermeasures to phishing attacks [21], gait aid for Parkinson’s disease patients [22], contextually-aware learning in physics experiments [23], and guiding for visually impaired users [24]. Some techniques regarding thermals have been presented such as 3D thermal model reconstruction based on image-based modeling using smartphone sensors [25], design of an oven utilizing radiative heat transfer for smart phone panels [26], thermal management systems for civil aircraft engines [27], and thermal properties of glasses [28]. A system for low-power smart glasses has been presented [29]. However, there have been only a few technical reports about the heat of smart glasses [30,31]. Smart glasses directly touch human skin. The heat of the smart glasses is capable of causing burns of the skin. Thermal management of smart glasses is essential for physical health safety and comfortable use. Current smart glasses consume 1 to 3 W under various workloads [30]. We presented thermal countermeasures of smart glasses [31] and discussed only the maximum temperature in the integrated circuits that generate heat. Only a heat generating component was used and was placed on a limited space. Moreover, the temperature of the device surface touching skin that may cause a low-temperature burn even at 43 ◦ C [32] was not analyzed. In Reference [33], we presented a thermal network model for thermal designs of future smart glasses. In this paper, we provide more detailed resistance models for all parts of devices, thermal properties that were used in the analysis, a difference in temperatures due to the position on the temple, more detailed explanations for each figure, motivations for this work, and discussions. Smart glasses mainly comprise the electronic device body, and display a liquid crystal on the silicon (LCOS) device [34] and battery. The device body consists of many heat generating electronic components, including processors, memory, wireless modules, and power management integrated circuits (ICs). In accordance with a design concept, the device body is mounted to various places [35]. We simplify the device body as follows: IC packages are reconstructed by using three layers (heat generating, upper, and lower) in the vertical direction, and several packages are arranged horizontally on a printed circuit board (PCB). Thereby, the simplified device body can be re-sized and consume power in a non-uniform manner. By making a thermal resistance model of the state wearing smart glasses, temperatures at each part can be calculated. The thermal model can be used for various types of smart glasses such as glasses’ structures, materials, heat sources, and layouts of the components. Smart glasses include various functions such as a camera, video, map, translation, weather information, and search in real-world environments, augmented reality, and virtual reality (VR). As the demand for higher precision and higher speed increases, power consumption also increases. Moreover, power density increases with higher integration (including 3D ICs). Therefore, thermal management is very important for future smart glasses. Systems and design methodologies of smart glasses have been proposed [29,36–39]. Among them, thermal management has become one of the crucial issues in AR and VR processing [30,31] where image screens as well as image sensors have been equipped. Even the current high definition (HD) smart glasses consume 1 to 3 W [30]. Upcoming advanced features including 4K/8K resolution processing are expected to need additional power to render the images [40–45]. This will require more organized thermal management with overviewing packages, boards, and systems as well as heating processor chips [46]. Motion detection is another power consuming factor. Even the current artificial intelligence (AI)-based moving object identification from the sensor images also requires up to 3W of power. Additionally, the expected features in the near future such as human detection will impose an extra power expense. Furthermore, promising smart glasses need to communicate with external networks and transfer large amounts of the processed data. The leading 5G communications technologies reduce transmission power in exchange for consuming
Sensors 2020, 20, 1446 3 of 20 additional circuit power due to the required hardware expansions including signal processing to establish low-power mmWave communications at extremely high frequencies [47]. In the viewpoint of the safety and comfort of smart glasses, there are several issues such as weight [48,49], battery [50,51], AR/VR [52–54], and heat [31,33]. In Reference [48], regarding weight issues, the effect of weight balance for shutter glasses in terms of subjective discomfort and physical load on the nose has been investigated [48] and a user discomfort on the different wearing mode glasses with different support points has been presented [49]. With respect to battery safety, an extremely safe and wearable solid-state zinc ion battery has been fabricated [50] and a quasi-solid-state aqueous rechargeable lithium-ion battery with outstanding stability, flexibility, safety, and breathability toward various wearable electronics has been reported [51]. AR/VR include many problems such as display size, resolution, computing capability, negative effects in some people with autism spectrum disorder, and architecture/server/network issues [52–54]. Moreover, it is necessary to ensure the safety and comfort due to heat generation [31,33] since smart glasses are worn on the face/head of the human body for use. The main sources of heat generation of smart glasses come from power consumptions of ICs. Thermal countermeasures within IC chips must be mainly low power designs and have a limit. For smart glasses, the temperature not only in chips for circuit operation but also on the device surface touching the skin is important for preventing low temperature burns. Thermal management of smart glasses is required to determine various conditions such as arrangements of heat generating components and materials of parts. Although a commercial thermal solver can obtain high accuracy results, it has the disadvantages of a complex structure input, long processing time, and unsuitability for parameter optimization. Therefore, we have developed a thermal network model to improve design efficiency. The model has been devised for not only current products but also future products. To deal with as wide a variety of smart glasses as possible, the entire thermal network is divided into several parts and is expressed by a block diagram (as described in Section 3.1). In addition, each block is removable and replaceable. We use virtual smart glasses composed of some parts but not real smart glasses so that the entire thermal network can be applied to various types of smart glasses. Additionally, using the proposed model, we present thermal countermeasures of smart glasses for ensuring the health safety and comfortable use. We clarify the following facts: (1) If high thermal conductivity materials like Al are used for a grasses frame, the whole temperature can be reduced, but a low temperature burn may be caused near an ear. (2) If low conductivity materials like cellulose acetate (CA) plastic are used, temperature near an ear can be reduced, but the surface temperature of the device body rises. (3) When Al is used, by locating higher power density, ICs near the lens, temperature at the ear decreases but not sufficiently. (4) When the device body is divided and placed on both sides, temperatures decrease as a whole. From these results, we found that the best solution is to use plastic for the temples and temple tips for hanging on the ears and Al for the other parts of the frame in order to locate the device body to the lens side and divide it into both sides as much as possible. The rest of the paper is organized as follows. Section 2 describes the details of smart glasses assumed in this work. Section 3 presents thermal network models for the smart glasses. Section 4 shows experimental results for thermal countermeasures. Section 5 presents discussions of this work. Section 6 concludes this paper. 2. Physical Structural Model of Smart Glasses In this section, the smart glasses assumed in this work are described. First, an overview of the smart glasses is shown. Next, a physical structural model with dimensions is presented. Lastly, the heat generating components are discussed.
Sensors 2020, 20, 1446 4 of 20 2.1. Overview of Smart Glasses Figure 1 shows an overview of a basic structure of the smart glasses used in this study. In the basic structure of smart glasses, batteries are connected to device bodies. Device body cases are mounted on the temples of both sides. Electronic components are installed in the right device body, and displays Sensors 2019, 19, x FOR PEER REVIEW 4 of 20 are Sensors set in 2019, front19,ofxlenses. FOR PEER REVIEW 4 of 20 Figure 1. Overview of smart glasses used in this paper. Figure Figure 1. Overview 1. Overview of smart of smart glasses glasses usedused in this in this paper. paper. 2.2.Structure 2.2. StructureofofSmart SmartGlasses Glasses 2.2. Structure of Smart Glasses Table11 lists Table lists thermal thermal properties properties of the smart glasses used in our basic analysis. FigureFigure 2 shows Table 1 lists thermal propertiesofofthe thesmart smart glasses used glasses used in our in our basic basic analysis. analysis. 2 Figure 2 shows dimensions shows of a dimensions face/head of a model. face/headFor a face model. model, For a we referred face model, to a we model of referred human to a thermoregulation model of human dimensions of a face/head model. For a face model, we referred to a model of human thermoregulation [55] and used a simpler thermoregulation andmodel. a The skinmodel. thickness The was 2thickness mm. Thewas core and ambient core temperatures [55] and used [55]a simpler used simpler model. The skin thickness skin was 2 mm. The core 2 mm.andThe ambientand ambient temperatures were set temperaturesto 36.6 and 25 °C, respectively. ◦ Figure 3 shows dimensions of the smart glasses. were set towere 36.6 set andto2536.6 °C,and 25 C, respectively. respectively. Figuredimensions Figure 3 shows 3 shows dimensions of the of the smart smart glasses. glasses. Table1.1.Thermal Table Thermalproperties propertiesofofsmart smartglasses. glasses. Table 1. Thermal properties of smart glasses. Parts Material Abbreviation Thermal Conductivity (W/mK) Parts Parts Material Material Abbreviation Abbreviation Thermal Thermal Conductivity Conductivity (W/mK) (W/mK) Aluminum Al 236 Frame Aluminum Aluminum Al 236 Frame Frame Cellulose acetate CAAl 0.2 236 Cellulose Cellulose acetate acetate CA CA 0.2 0.2 Display Polycarbonate PC 0.19 Display Display Polycarbonate Polycarbonate PC PC 0.190.19 Lens Polycarbonate PC 0.19 Lens Lens Polycarbonate Polycarbonate PC PC 0.190.19 Nose pad Cellulose Nose padNose padCellulose propionate propionate CP CP 6 Cellulose propionate CP 6 6 BatteryBattery Battery —--- --- ---— --- 15 15 15 (a) (b) (a) (b) Figure2.2.Overview Figure Overviewofofsmart smartglasses glassesused usedin inthis thispaper: paper:(a) (a)front frontview viewand and(b) (b)top topview. view. Figure 2. Overview of smart glasses used in this paper: (a) front view and (b) top view. (a) (b) (c) (a) (b) (c)
(a) (b) Sensors 2020, 20, 1446 5 of 20 Figure 2. Overview of smart glasses used in this paper: (a) front view and (b) top view. Sensors 2019, 19, x FOR PEER REVIEW 5 of 20 (a) (b) (c) Sensors 2019, 19, x FOR PEER REVIEW 5 of 20 2.3. Heat Generating Figure Figure 3. Components 3. Dimensions (in (in mm) mm) of of smart smart glasses: glasses:(a) (a)front frontview, view,(b) (b)side sideview, view,and and(c) (c)top topview. view. 2.3. Heat Generating In Generating general, heatComponents generating components of smart glasses include processors, memories (e.g., 2.3. Heat Components DDR4 SDRAM, and NAND In general, heat generating flash), audio ICs,of components wireless smart modules, power processors, glasses include management ICs, and (e.g., memories LCOS In devices. general, heat Figureand generating 4 illustrates components an example of smart glasses include processors, memories (e.g., DDR4 SDRAM, NAND flash), audio of a cross-sectional ICs, wireless modules,structure powerofmanagement an IC package ICs,with andthe LCOS flip- DDR4 chip SDRAM, and technology. NAND Table 2 flash), lists an audio ICs, example of wireless the thermalmodules, propertypower and management thickness of ICs,layer. each and LCOS Figure devices. Figure 4 illustrates an example of a cross-sectional structure of an IC package with the flip- devices. Figure 5 illustrates an4 example illustratesofana example of a cross-sectional cross-sectional structure structure of an IC package withantheexample flip-chipof chip technology. Table 2 lists an example of the thermalofproperty an LCOSand device. Tableof3 each thickness lists layer. Figure technology. the thermal Table 2 property lists andan example size. The of heatthe thermal generating property and components thickness are composedof each of layer. various Figure structures5 5 illustrates an example of a cross-sectional structure of an LCOS device. Table 3 lists an example of illustrates and an thermal example of properties. a cross-sectional structure of an LCOS device. Table 3 lists an example of the the thermal property and size. The heat generating components are composed of various structures thermal property and size. The heat generating components are composed of various structures and and thermal properties. thermal properties. Chip substrate Package Bumps Device layer Package substrate Metal layer Balls Copper plane PCB Figure 4. IC package (flip-chip package). Figure 4. Figure 4. IC IC package package (flip-chip (flip-chip package). package). Table 2. Thermal properties and size of IC package. Table 2. Thermal properties and size of IC package. Table 2. Thermal Component Thermalproperties and size(W/mK) Conductivity of IC package. Thickness (mm) Component Component Mold Thermal Conductivity Thermal (W/mK) Conductivity 0.88 (W/mK) Thickness--- (mm) (mm) Thickness Metal MoldMoldlayer 98 0.880.88 0.003 --- — Metal layer Device layer 14998 0.0010.003 Metal layer 98 0.003 DeviceSi layer substrate 149 149 0.1 0.001 Device layer Si substrate 149149 0.001 0.1 Bumps 60 0.08 Si substrate Bumps 149 60 0.1 0.08 Package substrate 149 0.2 Bumps Package substrate 60 149 0.08 0.2 Balls 33 0.35 Package Balls substrate 149 33 0.2 0.35 PCB 13 0.8 PCB Balls 33 13 0.35 0.8 Copper plane 401 0.03 Copper PCBplane 13 401 0.8 0.03 Copper plane 401 0.03 Glass substrate Liquid crystal layer Chip PCB 5. 5.Liquid Figure Figure Liquidcrystal crystalononthe thesilicon silicon(LCOS) device. (LCOS) device. Figure 5. Liquid crystal on the silicon (LCOS) device. Table 3. Thermal properties and size of liquid crystal on the silicon (LCOS) device. Table 3.Component Thermal propertiesThermal and size Conductivity of liquid crystal on the siliconx,(LCOS) (W/mK) device. y, z (mm) Glass substrate 0.8 8, 8, 0.5 Component Thermal Conductivity (W/mK) x, y, z (mm) Liquid crystal layer 0.15 8, 8, 0.005 Glass substrate 0.8 8, 8, 0.5 Copper plane 401 14, 13, 0.03 Liquid crystal layer 0.15 8, 8, 0.005 PCB 13 14, 13, 0.8 Copper plane 401 14, 13, 0.03
Sensors 2020, 20, 1446 6 of 20 Table 3. Thermal properties and size of liquid crystal on the silicon (LCOS) device. Component Thermal Conductivity (W/mK) x, y, z (mm) Glass substrate 0.8 8, 8, 0.5 Liquid crystal layer 0.15 8, 8, 0.005 Copper plane 401 14, 13, 0.03 PCB 13 14, 13, 0.8 In this scenario, we model the heat generating components by applying them to various types of Sensors 2019, 19, x FOR PEER REVIEW 6 of 20 smart glasses. The simple physical model for an equivalent circuit of one heat generating component is approximated with Sensors 2019, 19, x FORupper and lower layers, as PEER REVIEW Airshown in Figure 6. 6 of 20 Heat Upper layer generating Air Heat generation component Heat Upper layer generating Lower layer Heat generation component PCB Copper plane Lower layer PCB Copper plane Figure 6. Simple model of the heat generating component. Figure 6. Simple model ofofthe heat generatingcomponent. component. In this work, in theFigure device6. body Simple atmodel one side, thewe heat generating assumed the use of four IC packages shown in InFigure 4 with conditions in Table 2 and one LCOS device shown in Figure 5 with conditions in Table thisInwork, this in the work, in device body at one side, we we assumed theuse use ofAof four IC packages shown in 3. Figure 7 shows thethe device arrangementbody of at one five side, heat assumed generating the components. four IC packages thermal resistanceshown in network FigureFigure 4 with4conditions in Table with conditions 2 and in their Table one 2 and LCOS one LCOS device deviceshown shown inFigure in Figure5 5with with conditions in Table 3. for the device body with components is constructed by using the simpleconditions in Table physical model in Figure 3.7Figure shows Figure6.7the arrangement shows the of arrangement five of heat five generating heat generatingcomponents. components. AA thermal thermal resistance resistance network network for the device for thebody with device theirwith body components is constructed their components by using is constructed the simple by using physical the simple model physical in Figure model in 6. Figure 6. Figure Figure 7. Layout 7. Layout ofofheat heatgenerating generating components. components. 2.4. Structures and Materials 2.4. Structures of Components and Materials Figure 7. Layout of heat generating components. of Components In2.4. theStructures future, In the smart future, glasses smart ofwith and Materials glasses various Components shapes, size, with various materials, shapes, and arrangements size, materials, of components and arrangements of must becomponents produced. must be produced. Size and materialsSize and materials are basically are basically modifiable because modifiable they canbecause theyby be applied can be changing In the future, smart glasses with various shapes, size, materials, and arrangements of thermalapplied by changing resistance values.thermal resistance values. components must be produced. Although this paper uses rectangular Size and lithium materials are basically polymer modifiable (LiPo) batteries, thebecause shapes andtheymaterials can be Although applied this by paper uses changing thermalrectangular resistance lithium values. polymer (LiPo) batteries, the shapes and materials of of batteries are not greatly restricted because a battery is modeled simply. In this case, thermal batteries are not greatly Although restricted this paper because a battery is modeled simply. In this case, thermal resistance resistance circuits for a uses rectangular cylindrical lithium battery polymer are discussed. (LiPo) batteries, Figure 8a showsthe shapes a crossand materials section of a circuitsof for a cylindrical batteries cylindrical are not battery battery. greatly A are isdiscussed. restricted cylinder because expressed Figure with 8a thermal a battery three shows aresistances is modeledcross section simply. In of [56,57]. aThe this cylindrical case, thermal inner battery. liquid resistance A cylinder is circuits expressed for a with cylindrical three battery thermal are discussed. resistances Figure [56,57]. The 8a shows inner a liquid cross fluid in a battery is covered by a frame. The heat conduction resistance value for the internal cylinder section fluid in a of a battery is covered cylindrical by a battery. frame. The A cylinder heat is conductionexpressed with resistance (inner liquid fluid) can be calculated from the equation below.three valuethermal for resistances the internal [56,57]. cylinder The inner (inner liquid liquid fluid) can be fluid in a battery is covered by a frame. The heat conduction resistance value for the internal cylinder calculated from the equation below. (inner liquid fluid) can be calculated from the equation = below. (1) 2 ln (r1 ) where r1 is the internal radius, k is the thermal R1 =conductivity = of the material, and l is the length of (1)a (1) 2 2πkl cylinder. The heat conduction resistance value for an outer frame can be calculated from the equation where r1 is the internal radius, k is the thermal conductivity of the material, and l is the length of a where rbelow. 1 is the internal radius, k is the thermal conductivity of the material, and l is the length of a cylinder. cylinder. The heat conduction resistance value for an outer frame can be calculated from the equation The heat conduction resistance value for an outer frame ⁄can be calculated from the equation below. below. = (2) 2 ln(r2 /r ⁄ where r2 is the outer radius. The heat R = convection 1) resistance value from a frame surface can (2) be (2) 2 = 2 calculated from Equation (3) below. 2πkl where r2 is the outer radius. The heat convection resistance value from a frame surface can be r2 is the outer where calculated 1 value from a frame surface can be calculated fromradius. Equation The (3) heat below.convection resistance = (3) from Equation (3) below. ℎ 2 1 where hc is the heat transfer coefficient. In this = all the necessary resistances can be obtained.(3) way, By ℎ 2 assigning them the model of rectangular batteries (i.e., by converting a circle into a rectangle as shown where hc is8b), in Figure thea heat transferbattery cylindrical coefficient. is alsoInapplicable. this way, all the necessary resistances can be obtained. By assigning them the model of rectangular For modeling heat generating components, we batteries (i.e., by converting used a circle the PCB with a flipinto a rectangle chip-ball as shown grid array (FC- in Figure 8b), a cylindrical battery is also applicable. BGA) package shown in Figure 4 as an example. However, types of packages (e.g., wafer level For modeling package (WLP)) and heat boards generatingare components, we used the not greatly restricted PCB with because a flipgenerating a heat chip-ball grid array (FC-is component
Sensors 2020, 20, 1446 7 of 20 1 Rc = (3) hc 2πr2 l where hc is the heat transfer coefficient. In this way, all the necessary resistances can be obtained. By assigning them the model of rectangular batteries (i.e., by converting a circle into a rectangle as shown in Figure 8b), a cylindrical battery is also applicable. For modeling heat generating components, we used the PCB with a flip chip-ball grid array Sensors 2019, 19,package (FC-BGA) x FOR PEER shown REVIEWin Figure 4 as an example. However, types of packages (e.g., wafer 7 oflevel 20 package (WLP)) and boards Sensors 2019, 19, x FOR PEER REVIEWare not greatly restricted because a heat generating component is modelled 7 of 20 very simply modelled veryassimply a structure shown in shown as a structure Figure 6.in The idea6.ofThe Figure theidea thermal modeling of the thermalpresented modelingin this paper presented modelled incan thisuse not very paper onlyuse can simply rigid as a structure notboards only but also rigid shown boards butinalso flexible Figure 6. The substrates flexible idea of [58–60] the[58–60] such substrates thermal as modeling polyimide such asand presented polyethylene polyimide and in this paper can terephthalateterephthalate polyethylene use not (PET). However, only rigid boards if such (PET). but also flexible flexibleifcircuits However, substrates are used, such flexible [58–60] the model circuits such as of device are used, polyimide body parts the model and should of device bepolyethylene body replaced with parts should terephthalate abemore (PET). However, appropriate replaced thermal with a more if such flexible circuits are used, the model of device model. appropriate thermal model. body parts should be replaced with a more appropriate thermal model. (a)(a) (b) (b) Figure Figure Figure8. 8. Thermal 8.Thermalmodeling Thermal modeling modeling inin cross sections cross for sections sections forcylindrical for cylindrical cylindrical battery: battery: battery: (a)(a) thermal resistance thermal thermal circuit resistance resistance and circuit circuit andand (b) conversion (b)(b)conversion of the circle conversionofofthe to thecircle circletorectangle. to rectangle. rectangle. 3.3.Thermal 3.Thermal ThermalNetwork Network Network Model Model Model InInthis Inthis thissection, section, section, wewe wepresent present present a thermal thermal a thermal network network network model model model for for for smart smart smart glasses glasses glasses inin in a steady aasteady steady state state state condition. condition. condition. Based Based on ona block a blockdiagram diagram for for an entire entire thermal thermal network, network, thermal thermal models models forfor each each block block are Based on a block diagram for an entire thermal network, thermal models for each block are presented.are presented. presented. 3.1. Block Diagram for Entire Thermal Network 3.1.3.1. Block Block Diagram Diagram forfor Entire Entire ThermalNetwork Thermal Network AAblock block diagram diagram for the theentire entirethermal thermal network of smart glasses is shown in Figure 9. A block diagram forforthe entire thermal network network of smart of smart glasses glasses is is shown shown ininFigure Figure9.9.ByBy Byrepresenting representing each each block block byby thethe equivalent equivalent thermal thermal resistance resistance circuit, circuit, ourour model model cancan be be applied applied to to representing each block by the equivalent thermal resistance circuit, our model can be applied to varioustypes various typesofofsmart smartglasses. glasses. Designers Designerscan canremove removeororreplace blocks replace blockswhen when necessary. In this necessary. paper, In this paper, various types of smart glasses. Designers can remove or replace blocks when necessary. In this paper, a thermalmodel a thermal modelofofeach eachblock block is is constructed constructed by by aa representative representativeexample. example. ByBychanging changingthethe thermal thermal a thermal model of each block is constructed by a representative example. By changing the thermal modelofofeach model eachblock, block,smart smartglasses glasses under various variousconditions conditionscancanbebeexpressed. expressed. model of each block, smart glasses under various conditions can be expressed. Battery Battery Battery Temple Temple Battery Temple Tip Temple Tip Tip Tip Face Face Temple Temple Device Device Temple Temple Body Device Body Device Body Body Lens Lens and and Lens Rim Lens Rim and and Rim Rim Figure 9. Block diagram for entire thermal network of smart glasses. Figure 9. Block diagram for entire thermal network of smart glasses. Figure 9. Block diagram for entire thermal network of smart glasses. 3.2. Basic Thermal Resistance Model 3.2. BasicFor a thermal Thermal resistance Resistance model for heat conduction of one cell (called a thermal cell), we basically Model use the three-dimensional (3D) equivalent resistance model shown in Figure 10a. The heat conduction For a thermal resistance value resistance modelcan in each segment forbeheat conduction calculated from of theone cell (called equation below.a thermal cell), we basically
Sensors 2020, 20, 1446 8 of 20 3.2. Basic Thermal Resistance Model For a thermal resistance model for heat conduction of one cell (called a thermal cell), we basically use the three-dimensional (3D) equivalent resistance model shown in Figure 10a. The heat conduction resistance value in each segment can be calculated from the equation below. Sensors 2019, 19, x FOR PEER REVIEW 8 of 20 l R= (4) where l is the length of a heat transfer path, k is thekS thermal conductivity of the material, and S is the cross-sectional where area. The l is the length of a natural convection heat transfer path,heat transfer k is the thermal coefficient value for conductivity air can of the be calculated material, and S isfrom the the equation below. cross-sectional area. The natural convection heat transfer coefficient value for air can be calculated from the equation below. . × × × ! 0.25 . ℎ = k × g × β × Pr 4 × ∆T × 0.25 (5) hc = × K × (5) η2 L where g is the acceleration of gravity, β is the air thermal expansion coefficient, Pr is the Prandtl number, where g is the acceleration of gravity, β is the air thermal expansion coefficient, Pr is the Prandtl number, η is the air kinematic viscosity, K is the coefficient in the vertical or horizontal direction, ΔT is the η is the air kinematic viscosity, K is the coefficient in the vertical or horizontal direction, ∆T is the temperature difference, and L is the characteristic length [61]. The heat convection resistance value can temperature difference, and L is the characteristic length [61]. The heat convection resistance value can be calculated from the equation below. be calculated from the equation below. 11 Rc = = (6) (6) hcℎS where SS is where is the heat dissipation dissipationarea. area.The Theconvection convection heat heat transfer transfer coefficients coefficients for for the the top,top, bottom, bottom, and and sideside are distinguished, are distinguished, as shown as shown in Figure in Figure 10b. The10b. The thermal thermal resistance resistance model formodel for each each part part by is created is created by setting thermal cells in heat transfer paths. The number of thermal cells depends setting thermal cells in heat transfer paths. The number of thermal cells depends on heat flow rates on on heat flow ratestransfer the heat on the path. heat transfer The heatpath. The heat convection convection resistances areresistances connected are connected to the thermal to theinthermal cells contact cells with in contactair. ambient withTheambient ambientair. The ambient temperature temperature is connected to aiscircuit connected to a circuit ground. ground. hc,T hc,S hc,B (a) (b) Figure10. Figure 10. Thermal Thermal resistance resistance circuits: circuits: (a) (a) 3D 3D heat heat conduction conduction resistance resistance model model for for one one thermal thermal cell, cell, and(b) and (b)heat heatconvection convectionresistance resistancemodel modelwith withconvection convectionheat heattransfer transfercoefficients. coefficients. 3.3. 3.3. Thermal Thermal Model Model of of the the Temple Temple AAtemple templeofof thethe glasses is divided glasses is dividedinto four intocells fourtocells enabletothe connections enable with four heat the connections withgenerating four heat components of a device body (see Figure 11). In this case, the method to derive generating components of a device body (see Figure 11). In this case, the method to derive resistance resistance values of the thermal model is described in detail. Figure 12 shows thermal resistance values of the thermal model is described in detail. Figure 12 shows thermal resistance circuits withcircuits with the structure of thea structure glasses’ temple. Thetemple. of a glasses’ temple The is divided temple is into four thermal divided into fourcells. thermalA thermal cell consists cells. A thermal of the cell consists 3D heat conduction resistance model in Figure 10a, which has six of the 3D heat conduction resistance model in Figure 10a, which has six resistances in threeresistances in three dimensions from the center dimensions of the from the thermal center ofcell. theFor simplification, thermal series resistance cell. For simplification, is expressed series resistance byisone resistance. expressed by Heat conduction resistance values are calculated by substituting the length, one resistance. Heat conduction resistance values are calculated by substituting the length, thermal thermal conductivity of the material, and conductivity areamaterial, of the into Equation and area(4). into EquationR(4). For example, 3 in For the vertical example, direction R3 in the of vertical one cell direction is 0.25 K/W of from l = is one cell 2.50.25 mm, K/Wk =from 236 W/mK, l = 2.5 mm,and kS ==236 × 2 mm 85/4W/mK, 2 and. STable 4 summarizes = 85/4 × 2 mm2. Table the4heat conduction summarizes the resistance values resistance heat conduction for a temple. values for a temple. The The heat dissipations are heat dissipations aresetset to to three three points points at at the the back, back, top, top, and and bottom bottom of of each each cell cell of of aa temple. temple. Heat convection resistance values are calculated by using Equations (5) and Heat convection resistance values are calculated by using Equations (5) and (6). The thermal profile(6). The thermal profile for air shown in Table 5 is used for Equation (5). The characteristic lengths for heat for air shown in Table 5 is used for Equation (5). The characteristic lengths for heat dissipation areas dissipation areas use use the short side for the horizontal surface and height for the vertical surface. The temperature difference is obtained by iterating the temperature calculation. The number of iterations used in this paper is three. As a concrete example to calculate the resistance in the vertical direction in one cell of a temple, the characteristic length is 2 mm, the heat dissipation area is 21.25 mm × 2 mm, and K is 0.52. When the temperature difference is 10 °C, the heat convection resistance becomes Rc = 2.14 × 103
Sensors 2020, 20, 1446 9 of 20 the short side for the horizontal surface and height for the vertical surface. The temperature difference is obtained by iterating the temperature calculation. The number of iterations used in this paper is three. As a concrete example to calculate the resistance in the vertical direction in one cell of a temple, the characteristic length is 2 mm, the heat dissipation area is 21.25 mm × 2 mm, and K is 0.52. When the temperature difference is 10 ◦ C, the heat convection resistance becomes Rc = 2.14 × 103 K/W. Table 6 summarizes the heat convection resistance values of a temple. The top and bottom of a temple are connected Sensors Sensors2019, with 2019,19, 19, thePEER xxFOR FOR bottom PEER of a temple tip and with the rim, respectively. REVIEW REVIEW 99 ofof 20 20 Figure Figure11. Thermal model of temple (at right side). Figure 11. 11. Thermal Thermal model model of of temple temple (at (at right right side). side). Figure Figure12. 12.Thermal Thermalresistance resistancecircuits circuitswith withaaphysical physicalstructure structureof ofthe thetemple. temple. Figure 12. Thermal resistance circuits with a physical structure of the temple. Table Table4.4.Heat Heatconduction conductionresistance resistancevalues valuesof ofthe thetemple. temple. Variable Variable Variable lll(mm) (mm) (mm) SS(mm S(mm (mm 2)2 )2 ) Thermal ThermalConductivity ThermalConductivity(W/mK) Conductivity (W/mK) Thermal (W/mK) ThermalResistance Resistance Thermal (K/W) (K/W) Resistance (K/W) RR1,1,RR7 7 10.625 10.625 10 10 236 236 4.50 4.50 R1 , R7 10.625 10 236 4.50 RR2 2 11 106.25 106.25 236 236 0.04 0.04 R2 1 106.25 236 0.04 R3 2.5 42.5 236 0.25 R3R3 2.5 2.5 42.5 42.5 236 236 0.25 0.25 RR4,4,RR5,5,RR6 6 21.25 21.25 10 1010 236 236 9.00 9.00 R ,R ,R 4 5 6 21.25 236 9.00 Table Table5.5.Thermal Thermalprofile profilefor forair. air. Table 5. Thermal profile for air. Parameter Parameterof ofAir Air Value Value Thermal Parameter of Air Value −2−2 Thermalconductivity conductivity(W/mK) (W/mK) 2.625 2.625××1010 Acceleration of ofgravity gravity(m/s Thermal conductivity Acceleration (m/s 2 (W/mK) )2) 2.625 × 10−2 9.80665 9.80665 Acceleration 2) 9.80665 Thermal Thermal expansionof expansion gravity (m/s coefficient coefficient (1/K) (1/K) 3.247 3.247 ××10 10−3−3 Thermal expansion coefficient (1/K) −3 Prandtl Prandtl number number 7.268×××10 3.247 7.268 10 10−1−1 Prandtl number 7.268 × 10 −1 Kinematic Kinematicviscosity viscosity(m(m/s) 2 2/s) 1.655 1.655××10 −5 10−5 Kinematic viscosity (m 2 /s) 1.655 × 10 −5 KKin inthe thevertical verticaldirection direction 0.56 0.56 KKin K in the vertical direction 0.56 inthe thelower lowerhorizontal horizontaldirection direction 0.26 0.26 KKinK in the lower horizontal direction 0.26 inthe theupper upperhorizontal horizontaldirection direction 0.52 0.52 K in the upper horizontal direction 0.52 Table Table6.6.Heat Heatconvection convectionresistance resistancevalues valuesof ofthe thetemple. temple. Variable Variable ll(mm) (mm) SS(mm (mm2)2) KK Thermal ThermalResistance Resistance(K/W)(K/W) RR8,8,RR1111, ,RR1414, ,RR1717 55 106 106 0.56 0.56 1.0 1.0××10 103 3 RR9,9,RR1212, ,RR1515, ,RR1818 22 42.5 42.5 0.26 0.26 4.29 4.29××10 103 3 RR1010, ,RR1313, ,RR1616, ,RR1919 22 42.5 42.5 0.52 0.52 2.14 × 10 2.14 × 103 3 3.4. 3.4.Thermal ThermalModel ModelofofElectronic ElectronicDevice DeviceBody Body Figure Figure13 13shows showsaathermal thermalmodel modelaround aroundaaheating heatingcomponent, component,which whichisiscomposed composedof ofthermal thermal
Sensors 2020, 20, 1446 10 of 20 Table 6. Heat convection resistance values of the temple. Variable l (mm) S (mm2 ) K Thermal Resistance (K/W) R8 , R11 , R14 , R17 5 106 0.56 1.0 × 103 R9 , R12 , R15 , R18 2 42.5 0.26 4.29 × 103 R10 , R13 , R16 , R19 2 42.5 0.52 2.14 × 103 3.4. Thermal Model of Electronic Device Body Figure 13 shows a thermal model around a heating component, which is composed of thermal resistances for each layer in the vertical direction and a heat source connected in the center of a heat generation layer. The heat source is given by power dissipated by a heat generating component. A power consumption value (in Watt) is given to the heat source. A thermal model of an electronic device body that incorporates five heat generating components is shown in Figure 11. It is a model Sensors Sensors 2019, 19, 19, x FOR PEER REVIEW 10 10 of 20 for the2019, device x FOR body PEER of REVIEW the right side. The device body is composed of heat generating components, of 20 PCBs, copper planes, device body cases, and a projector. Their parts are replaced by thermal cells. PCBs, PCBs, copper copper planes, planes, device device body body cases, cases, andand a projector. a projector. Their Their parts parts areare replaced replaced byby thermal thermal cells. cells. ForForexample, example, a PCB a PCB is is replaced replaced with with four four thermal thermal cells. cells. The The thermalresistance thermal resistancevalues valuesinineach eachthermal thermal For example, a PCB is replaced with four thermal cells. The thermal resistance values in each thermal cell are cellcell calculated areare calculated calculated from from fromthe length, length, thethe length,thermal thermal thermal conductivity, conductivity, conductivity, and andandcross-sectional cross-sectional cross-sectional area area area of aacell, of aofcell, cell,as as as shown shownin shown Equation in Equation in Equation (4). The (4).(4). The heat Theheat dissipations heat dissipations dissipations are set areare to setset four to four to four points points points at the at the at the front, front, front, back, back, back, top, top, top, and and and bottom bottom bottom ofofeach of each each heat heat generating heat generating generating component. component. component. AAheat Aheat heat generating generating generating component component component represented represented represented inFigure in Figure in Figure 6 is66modelled isismodelled modelled toto to the thethe equivalent equivalent equivalent thermal thermal thermal resistance resistance circuit resistancecircuit in circuit Figure in in 14. Figure Figure The 14.14. Theheat The source heat heat is source source located in is located is located the in in center thethe with center center a current with with a a source current symbol. current source source Five symbol. heat symbol. Fivegenerating Five heat heat components generating generating componentsare arranged components areare in theinbody arranged arranged in the the case. body body case.case. Figure Figure Figure 13.13. 13. Thermal Thermal Thermal model model model around around the thethe around heating heating component. component. heating component. Figure Figure 14. Thermal 14.14. Figure Thermal model Thermal model of of model ofthe the the device device device body body (on (on(on the thethe right right right side). side). side). 3.5.3.5. Thermal Thermal Model Model of Temple of Temple TipTip A temple A temple tiptip of the of the glasses glasses is modelled is modelled as as oneone thermal thermal cell. cell. Figure Figure 15 15 shows shows a thermal a thermal model model forfor a a temple temple tiptip of the of the right right side. side. TheThe temple temple tiptip is expressed is expressed by by thethe3D3D equivalent equivalent resistance resistance model model shown shown in in Figure Figure 10a. 10a. TheThe heat heat dissipations dissipations to to an an airair areare setset to to three three points points at the at the top, top, bottom, bottom, andand back back of of a a
Sensors 2020, 20, 1446 11 of 20 Figure 14. Thermal model of the device body (on the right side). 3.5. 3.5. Thermal Thermal Model Model of of Temple Temple Tip Tip A A temple tip of the glasses is modelled modelled as as one one thermal thermalcell. cell.Figure Figure1515shows showsaathermal thermalmodel modelfor fora atemple templetip tipofofthe theright rightside. side.The Thetemple templetip tipisisexpressed expressed byby the the 3D 3D equivalent resistance model shown shown in in Figure Figure 10a. The The heat heat dissipations dissipationsto toan anair airare areset settotothree threepoints pointsatatthe thetop, top,bottom, bottom,and andback backofofa atemple templetip. tip. Sensors2019, Sensors 2019,19, 19,x xFOR FORPEER PEERREVIEW REVIEW Figure 15. Thermal Figure 15. Thermal model model of of temple temple tip tip (on (on the the right right side). side). 1111ofof2020 3.6. Thermal 3.6.Thermal 3.6. Model Modelofof ThermalModel Battery ofBattery Battery For Foraaabattery For battery model, batterymodel, model,the the inner theinner liquid innerliquid fluid liquidfluid and fluidand outer andouter frame outerframe frameare arerepresented are representedby represented by thermal bythermal resistances. thermalresistances. resistances. Figure Figure 16 16 shows shows thermal thermal resistance resistance circuits circuits of of aa battery battery structure. structure. R R 1 is is the the resistance resistance Figure 16 shows thermal resistance circuits of a battery structure. R1 is the resistance to connect with 1 to to connect connect with with a device aadevice devicebody,body, R to R are body,RR222totoRR888are the arethe resistances theresistances of a frame, resistancesofofaaframe, R to R frame,RR999totoRR1111 are the arethe 11are resistances theresistances of resistancesofofthethe inner theinner parts, innerparts, parts, and and RR12 to to R R 15 are are the the heat heat convection convection resistances. resistances. Figure Figure 17 17 shows shows the the and R12 to R15 are the heat convection resistances. Figure 17 shows the thermal model of the battery 12 15 thermal thermal model model of of the the battery battery on the onthe on right theright side. rightside. side.TheThe number numberofof Thenumber thermal ofthermal thermalcellscells used cellsused for usedforforaaabattery battery batteryin in this inthis paper thispaper isisseven. paperis seven. seven.The The heat Theheat heat dissipations dissipationsare dissipations are set areset to five settotofive points fivepoints at the pointsatatthe front, thefront, back, front,back, top, back,top, bottom, top,bottom, bottom,and and andtiptip of each tipofofeach cell eachcell of a battery. cellofofaabattery. battery. (a) (a) (b) (b) (c) (c) Figure 16.Thermal Figure Thermal resistancecircuits circuits withaaphysical physical structureofofthe the battery:(a) (a) zydirection, direction, (b)zx zx Figure16. 16. Thermalresistance resistance circuitswith with a physicalstructure structure of thebattery: battery: (a)zyzy direction,(b) (b) zx direction, and(c) direction, (c) xydirection. direction. direction,and and (c)xy xy direction. Figure 17. Figure17. Figure Thermal 17.Thermal model modelofof Thermalmodel the ofthe battery thebattery (on battery(on the (onthe right theright side). rightside). side). 3.7.Thermal 3.7. ThermalModel ModelofofLens Lensand andRim Rim AAlens lensisisrepresented representedbybyaatwo-dimensional two-dimensionalthermal thermalresistance resistancemodel, model,andandthe therim rimofofthe thelens lens frame is represented by a one-dimensional thermal resistance model. The lens and rim frame is represented by a one-dimensional thermal resistance model. The lens and rim are divided are divided intothree into threeparts: parts:lens, lens,upper upperrim, rim,and andlower lowerrim. rim.Three Threethermal thermalcells cellsare areused. used.Figure Figure1818shows showsthethe model of the lens and rim of the right side. The heat dissipations are set to eight points at model of the lens and rim of the right side. The heat dissipations are set to eight points at the frontthe front
Sensors 2020, 20, 1446 12 of 20 3.7. Thermal Model of Lens and Rim A lens is represented by a two-dimensional thermal resistance model, and the rim of the lens frame is represented by a one-dimensional thermal resistance model. The lens and rim are divided into three parts: lens, upper rim, and lower rim. Three thermal cells are used. Figure 18 shows the model of the lens and rim of the right side. The heat dissipations are set to eight points at the front and back of a lens and the upper front, back, and top and the lower front, back, and bottom of a rim. The temperature Sensors 2019, 19, x FORofPEER a nose pad on the nose is represented by T109 . The node (T109 ) is connected REVIEW 12 with of 20 a Sensors face part. 2019, 19, x FOR PEER REVIEW 12 of 20 Sensors 2019, 19, x FOR PEER REVIEW 12 of 20 Figure 18. Thermal model of the lens and rim (on the right side). Figure Thermal 18. Thermal model of thelens lens and rim rim (on the right side). Figure 18. Thermalmodel Figure18. modelofofthe the lensand and rim(on (onthe theright rightside). side). 3.8. Thermal 3.8. Thermal Model of the ModelModel 3.8. Thermal of theofFace Face PartPart Part the Face 3.8. Thermal Model of the Face Part FigureFigure Figure 19 shows 19 shows aa thermal 19 shows thermal a thermalmodel modelmodel ofof of aa face aface for facefor smart forsmart glasses. smart glasses. Theface glasses. The The facepart face part is expressed is is part expressed expressed by one by one by one thermal thermal cell. The Figure thermal cell. The 19cell. center shows node anode The center center is set thermal node is set to 36.6 ismodel set to 36.6 to of◦°C. 36.6aC.°C.RR face R 1 1and for RR22 represent andsmart glasses. represent the the thermal The resistances face resistances thermal part of the is expressed of the byface face one 1 and R2 represent the thermal resistances of the face skin. The thermal skin.side cell. The and The side bottom center and of node bottom the ofis face set the topart face 36.6 partare °C. are connected R 1 and R2with connected the represent with the temple the temple tip thermal tip skin. The side and bottom of the face part are connected with the temple tip nose pads, respectively. nose nose pads, respectively. resistances pads, of the respectively. face skin. The side and bottom of the face part are connected with the temple tip nose pads, respectively. Figure 19. Thermal model of the face part. Figure 19. Thermal Figure 19. Thermal model model of of the the face face part. part. 4. Experimental Results Figure 19. Thermal model of the face part. 4. Experimental Results 4. Experimental Results We first verify the validity of our thermal model. Figure 20 shows a histogram in temperature We first verify 4. Experimental differences the validity Results between of our thermal results obtained by our model. model and Figure 20 shows a thermal solvera [62]. histogram in temperature The absolute errors We first differences verify between the validity results of ourby obtained thermal our model. model and Figure a 20 shows thermal solvera histogram [62]. The in temperature absolute errors were almost within a few degrees. This is the result under the conditions that five heat generating differences We were almost between first verify within results the obtained validity of by our our thermal model and model. a thermal Figure 20 solver shows a [62]. The histogram absolute in errors temperature components areaplaced few degrees. This at one side is the only and result under the power the conditions consumptions that five are uniform heat and 5W generating in the were almost differences components within between total. are a results placed few degrees. at one obtained side Thisand only byis our the result under the model power and a the conditions thermal consumptions solver are that [62].five uniform Theheat and generating 5 absolute W in the errors total. components were almostare placed within at one a few side only degrees. This and theresult is the power consumptions under are uniform the conditions that fiveandheat5generating W in the total. components are placed at one side only and the power consumptions are uniform and 5 W in the total. Figure Figure 20. Error 20. Error distribution distribution forforallallnodes nodesof of the the thermal thermalnetwork networkmodel. model. Next, we perform thermal analysis using the proposed model. Some countermeasures to reduce temperaturesFigure are shown in this 20. Error section. Itfor distribution is all important nodes ofto reduce the thenetwork thermal surface model. temperature of smart glasses for more physical health safety and comfortable use. Figure 20. Error distribution for all nodes of the thermal network model. Next,Figure 21 illustrates we perform thermalthatanalysis heat sources using (a)the were placed onmodel. proposed one side only countermeasures Some and (b) were divided tointo reduce both sides. Those are examples of conditions in which the total power consumption is 5 W and the
Sensors 2020, 20, 1446 13 of 20 Next, we perform thermal analysis using the proposed model. Some countermeasures to reduce temperatures are shown in this section. It is important to reduce the surface temperature of smart glasses for more physical health safety and comfortable use. Figure 21 illustrates that heat sources (a) were placed on one side only and (b) were divided into Sensors 2019, 19, x FOR PEER areREVIEW 13 of 20the Sensors sides. both 2019, 19,Those x FOR PEER examples REVIEW of conditions in which the total power consumption is 5 W and 13 of 20 power consumption is uniform. Figure 22 shows differences in temperatures when the device body waswas was setsettoto set (a)(a) to one one side only side only onlyand and and toto(b) to (b)both (b) both both sides. sides.InIn sides. Inthe the thefigure, figure, figure, “HG” “HG” “HG” means means means the the thehighest highest highest temperature temperature temperature in ininheat heat heat generating generating generating components, components, components, “DB” “DB” means “DB” means the temperature the temperature means the temperature on on theon the surface surface of of the device the surface the device of thebody, device body, “Temple” body, “Temple” means the “Temple” means means the temperature thetemperature temperature inin in the center the ofcenter the the ofof the temple center the temple frame, temple frame, “Ear” “Ear” means frame, “Ear” means the the temperature means thetemperature ofof of the frame temperature the theframe surface frame surface where surface where the where the glassesthe glasses frame frame is onframe glasses is the ear, on the andthe is on ear, “Nose” and ear, and “Nose” means means the the temperature “Nose” temperature of a nose pad. means the temperature of a nose of In their a nose pad. pad. In their parts,Inthe theirparts, temperaturethe temperature parts, the of the “Ear” and temperature of the of the “Ear” “Nose” and “Ear”areand “Nose” very “Nose” are important very are very important since since they directly important they sincetouch directly the skin. they directly touch For the touch the skin. example, skin.For under For example, example, under the condition under the ofthe condition the ofof total power condition the total consumption the totalpower power consumption of 5 W, when the consumption ofof 5device W, 5 W, when bodythe when was the device set to body one was side set only,to one the side only, temperatures the temperatures on the back side on of the theback side temple device body was set to one side only, the temperatures on the back side of the temple and the ear are of and the the temple ear are and 60.6 the and ear are 51.0 ◦ C, 60.6 and 51.0 respectively. 60.6 °C, and 51.0 °C, respectively. On respectively. the other hand,On the On when other the other hand, the hand, when devicewhen the bodythe device wasdevice body set tobody was both was set sides, to setthe both to temple sides, both sides, the and theear temple and temperatures ear temperatures were 48.6 and were 43.6 ◦48.6 C, and 43.6 respectively. °C, Byrespectively. distributing temple and ear temperatures were 48.6 and 43.6 °C, respectively. By distributing the device body Bythedistributing device body the device (heat body generating (heat (heat generating components), generating components), the temperaturethe components), thetemperature rising to the ambient temperature rising totothe temperature rising theambient of 25 ◦temperature ambient Ctemperature can be reduced ofof2525by°C°C can canbe 33.6% and be reduced 29.4%. The reduced by 33.6% and by difference 29.4%. 33.6% andof29.4%. The the earThe difference temperature differencefromof the of the ear the ear temperature coretemperature from temperaturefrom the of 36.6 core ◦ theCcore temperature is reduced temperature ofof by 51.4%. 36.6 As°C 36.6 seen °Cis is reduced from reduced byby Figure 51.4%. 22, the As 51.4%. seen temperature As seen from from Figure growths Figure 22, can22,the be the temperature significantly temperature growths suppressed growths can bybedistributing can significantly be significantlyheat suppressed by sources regardless suppressed distributing heat of total power by distributing sources regardless consumption. heat sources of total power consumption. regardless of total power consumption. (a)(a) (b)(b) Figure 21. Illustration of heat sources: (a) one side and (b) both sides (example of total power of 5 W). Figure Figure 21.21.Illustration Illustrationofof heat heat sources: sources: (a)(a) one one side side and and (b)(b) both both sides sides (example (example of of total total power power of of 5 W). 5 W). (a)(a) (b)(b) Figure 22.22. Figure Temperature differences Temperature of of differences heat sources: heat (a)(a) sources: oneone side and side (b)(b) and both sides. both sides. Figure 22. Temperature differences of heat sources: (a) one side and (b) both sides. Figure 23 illustrates Figure the conditions in which power consumptions are not uniform and heat Figure2323illustrates illustratesthetheconditions conditionsininwhich whichpower powerconsumptions consumptionsare arenot notuniform uniformandandheat heat sources sources were were placed placed at atat oneone side side only. only. Figure Figure 24 2424 shows shows temperature temperature results results at atat each each part part when when power power sources were placed one side only. Figure shows temperature results each part when power consumptions consumptions are are uniform, uniform, in in descending descending order, order, andandin in ascending ascending order. order. The The temperatures temperatures of of “Ear” “Ear” consumptions are uniform, in descending order, and in ascending order. The temperatures of “Ear” ◦ C (temperature differences from the core temperature of 36.6 ◦ C were 14.4, were were 51.0, 51.0, 49.4, 49.4, and and 52.7 52.7 °C°C(temperature differences from the core temperature ofof 36.6 °C°C were 14.4, were 51.0, 49.4, and 52.7 (temperature differences from the core temperature ◦ C) for uniform, descending order, and ascending order. The descending order can reduce 36.6 were 14.4, 12.8, 12.8, and16.1 16.1°C) 12.8, and 16.1 °C) for uniform, descending order, and ascending order. The descending ordercan and for uniform, descending order, and ascending order. The descending order can a temperature reduce a rise byrise temperature 11.1%by compared 11.1% with uniform compared with power consumptions. uniform power Therefore,Therefore, consumptions. the temperature the reduce a temperature rise by 11.1% compared with uniform power consumptions. Therefore, the of the part near the temperature ear that directly touches the skin can be reduced when power consumptions of temperatureofofthe thepart partnear nearthe theear earthat thatdirectly directlytouches touchesthe theskin skincan canbebereduced reducedwhenwhenpower power heat generating consumptions of components heat generating arecomponents placed in descending are placed order. in descending order. consumptions of heat generating components are placed in descending order.
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