Predictive Modelling Methodologies for Bi-material Strip Warpage - iNEMI
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download presentation Predictive Modelling Methodologies for Bi-material Strip Warpage a Jenn An Wang, b Ong. Kang Eu, a Wen Hsin Weng, a Chih Chung Hsu, b Wei Keat Loh, c Ron W. Kulterman, d Haley Fu a CoreTech System (Moldex3D), Taiwan b Intel Technology Sdn. Bhd, Malaysia c Flex Ltd, Austin Tx., USA d iNEMI, Shanghai jennanwang@moldex3d.com ABSTRACT for validation. For simulation, Moldex3D and FEA-A tools were used to consider material shrinkage and visco-elastic Predicting strip warpage after molding process is a challenge for effect. Material shrinkage was composed of curing shrinkage IC packaging industry because simulation tools need to consider as well as thermal shrinkage, and both shrinkage can be multiple processes and complex material properties. This paper described by a PVTC model called two domain modified Tait conducted a strip warpage experiment and simulation. To simplify model, which provide shrinkage based on pressure, this problem, the models are two bi-material strips (epoxy and temperature, and cure degree. The effects of cure shrinkage copper). Two strip processes included transfer and curing. One of properties and post mold cure (PMC) process were analyzed. the strips contained an additional post mold cure (PMC) process. At last the simulation results were compared with the real The strips were then exposed to a reflow process, and the warpage experiment. was measured in this process. Pressure-volume-temperature-cure (PVTC) effect and visco-elastic (VE) with two steps shift factor IMPLEMENTATION DETAILS model of Arrhenius and WLF (Williams–Landel–Ferry) functions were considered in the epoxy material model. Fluid mechanics, Simulation Approach curing kinetics, heat transfer, and structure analysis were combined The in mold stage computation began with filling and in the analysis sequence. The simulation results were compared with curing analysis for in mold stage process. The fluid dynamics the experiment metrics. were computed and the mold achieved complete filling by epoxy. Subsequently, the curing analysis was executed to Keywords—strip warpage; simulation; assembly process; simulate the in mold cure process and provided initial degree modeling; mold flow; post mold curing; reflow; visco-elasticity; of cure for out of mold stage computation. PVTC; bi-material Moldex3D 2020 and a general FEA tool called FEA-A INTRODUCTION were commercially available simulation software for out of mold stage computation. The simulation started at the moment Strip level is wildly used in electronic packaging in order of strip ejection from the mold chase. Then the thermal and to deal with several units in the same time. However, the curing degree change induced warpage on the strip. Therefore, challenge in strip level packaging is that it faced warpage issue. the simulation software should consider temperature Simulation tools are used in the industries to predict strip dependent visco-elastic properties and material curing warpage before the real process to decrease warpage problem. shrinkage to obtained dependable warpage results. Unfortunately, simulation tools usually meet inconsistency issues comparing to real results and engineers cannot tell the Strip Model root cause. Therefore it is more important to investigate every The Bi-material model contained epoxy and copper strip, physical models in the simulation tools and validate as shown in Fig. 1. The copper strip was 240 x 74 mm and two simulation tools with real simple strip. 115.5 x 66 mm epoxy were transferred onto the copper strip. One challenge of the strip warpage simulation is that the The thickness of the epoxy and copper were 0.35 mm and visco-elastic properties dominates the epoxy properties and 0.255 mm. The model had no constraint but the anchor plane hence affect the warpage [1][2]. Therefore, time and was set to ensure the convergence. temperature dependent visco-elastic models were used to ensure the accuracy of the warpage results. Moreover, typical epoxy compounds were thermoset materials. The thermoset material specific volume decreases when the material undergoes chemical cross linking reaction, which is also called curing for IC packaging. The studies point out that electronic package warpage should not only consider the thermal expansion effect but also curing effect to precisely predict the warpage [3][4][5]. However, conventional simulation software can only compute thermal expansion, so Fig. 1 Bi-material strips which consist of epoxy and copper researchers develop effective CTE to depict epoxy curing The Moldex3D and FEA-A simulation models were behavior [6]. This study apply a pressure-volume- constructed according to the real geometry. The mesh size is temperature-cure (PVTC) model to fully describe overall 0.5 mm in both x and y direction. The mesh was divided by 2 strain[7]. elements along the thickness for both epoxy and copper . The This paper conducted an experiment of bi-material strips mesh sensitivity test was done to ensure the mesh with simple geometry and the strips warpage was measured convergence.
Viscos-elastic Model transition temperature point and shift the specific volume. The The epoxy was a typical visco-elastic material. The two Tait modified model is applied in Moldex3D. While FEA- modulus depends on relaxation time and temperature change, A does not equipped with this function, two stage CTE was so the Generalized Maxwell model with time-temperature rather used to simulate the fully cured state of the mold. shift factor (TTS) was used to describe shear and bulk modulus. In general, there are two models to describe TTS 100 according to the relation between reference temperature and 90 T= 200oC 80 temperature, which were Arrhenius type equation and WLF 70 equation. The Arrhenius type equation is suitable for Conversion(%) T= 175oC 60 temperature below reference temperature, while WLF 50 T= 150oC equation is suitable for temperature above reference 40 temperature. Therefore, this study using two steps shift factor 30 model to describe overall shift factor, as shown in Fig. 2. 20 10 The overall viscoelastic behavior for epoxy in this study is 0 shown in Fig. 3. The shear modulus keeps decreasing as 0 100 200 300 400 higher relaxation time. Moreover, the time-temperature shift Time (sec) factor affects the shear modulus. Higher temperature lead shear modulus dropping to plateau with smaller relaxation Fig. 4 Curing kinetics at different temperatures for the epoxy time. 0.54 Uncured state, 0.1 MPa 1.00E+12 0.535 Specific Volume (cc/g) Cured state, 0.1 MPa 1.00E+09 0.53 Uncured state, 5 MPa 1.00E+06 Cured state, 5 MPa Shift Factor aT 1.00E+03 0.525 1.00E+00 0.52 Arrhenius equation 1.00E-03 Two steps shift factor 0.515 1.00E-06 model 1.00E-09 WLF equation 0.51 1.00E-12 25 75 125 175 225 Temperature (℃) 25 65 105 145 185 225 Temperature (℃) Fig. 5 PVTC curves for the epoxy Fig. 2 Shift factor for the epoxy Experiment Details 1.2E+11 The copper strips were initially put in the mold chase and T = 25 ℃ 1.0E+11 did the epoxy transfer. Afterwards, the strips underwent 175 T = 150 ℃ ℃ in mold cure for 90 sec and were released from the mold. Shear Modulsu (dyne/cm2) 8.1E+10 T = 260 ℃ The experiment was conducted with two kind of time 6.1E+10 temperature profile. Two of them cooling down from 175 ℃ to 25 ℃ in 600 sec as the strip out of mold. First time 4.1E+10 temperature profile was without PMC and underwent an 1000 2.1E+10 sec reflow. The temperature surge from 25 ℃ to 260 ℃ in 500 sec and then cooling down to 25 ℃ in another 500 sec, shown 6.0E+08 in Fig. 6. Second time temperature profile was with 14280 sec 1.0E-30 1.0E-20 1.0E-10 1.0E+00 1.0E+10 1.0E+20 175 ℃ PMC and two 1000 sec reflow afterwards, shown in Time (sec) Fig. 7. The reflow profiles were the same in first and second Fig. 3 Shear modulus versus time curves for the epoxy time temperature history. Shadow Moire method was used in the reflow stage to measure the displacement versus PVTC Model temperature. PVTC describes the relation between specific volume, 300 pressure, temperature and curing degree. Curing degree in PVTC is calculated by a curing kinetics model called 250 combined model. The curing kinetics of the epoxy in this Temperature (℃) 200 study is shown in Fig. 4. Rapid conversion as the material temperature higher than 175℃. 150 The two domain modified Tait model is used to describe 100 PVTC. The uncured epoxy shrinks as changing to the cured 50 epoxy, induced by the material cross-linking, shown in Fig. 5. 0 Other than curing effect, temperature change brings out 0 400 800 1200 1600 2000 2400 thermal stain as a result of specific volume change. The cure Time (sec) and uncured epoxy has different transition point. The transition point for uncured and cured material is about 40℃ Fig. 6 Out of mold ambient temperature vs. time (Without and 140℃, individually. Pressure will slightly affect the PMC process)
300 12 Moldex3D fully cured FEA-A fully cured 250 8 Moldex3D 90 sec cured Z displacement (mm) Moldex3D 50 sec cured Temperature (℃) 200 4 Moldex3D 0 sec cured 150 0 100 -4 50 -8 0 0 5000 10000 15000 20000 -12 Time (sec) 0 500 1000 1500 2000 2500 Time (s) Fig. 7 Out of mold ambient temperature vs. time (With PMC process) Fig. 8 Strip simulation Z displacement results (Without PMC process) RESULTS Simulation Results 100 To identify the warpage magnitude, the z-coordinate 80 Curing degree (%) displacement results on the top center of the bi-material strip Moldex3D fully cured were recorded. If z displacement is positive, the shape is Moldex3D 90 sec cured 60 convex, instead, the shape is concave. The first step of the Moldex3D 50 sec cured simulation is to check the consistency between two software. 40 Moldex3D 0 sec cured The without PMC process case was simulated by both software with fully cured initial condition. Both software 20 obtained similar results, as shown in Fig. 8. The strip was convex at room or reflow peak temperature and was concaved 0 between 175℃ and 69℃, and the concave peak value was - 0 500 1000 1500 2000 2500 Time (sec) 3.96 mm. The convex trend peak values were 4.86 mm and 3.14 mm, when strip temperature were 25℃ and 260℃, Fig. 9 Strip simulation curing degree results (Without individually. PMC) Different without PMC process cases were simulated with 8 different in mold cure time. 0 sec, 50 sec, and 90 sec in mold Moldex3D fully cured cure time lead to 0 %, 44.9 %, and 71.9 % initial curing ratio Moldex3D 90 sec cured at out of mold process. The average curing degree versus time Z displacement (mm) 4 FEA-A fully cured profile is as Fig. 9. The curing degree surged at beginning of the 100 sec, because the strip temperature remained high enough to induce curing reaction. As the temperature cooling 0 down, the curing reaction stopped and curing degree remained the same at 400 ~ 900 sec. The curing reaction -4 reactive when temperature surged at reflow, and fully cured achieved for all cases at about 1200 sec. -8 Fig. 8 showed the warpage with different in mold cure 0 5000 10000 15000 20000 time. Z displacement amplitude shift downward as initial Time (sec) curing degree decrease. The 0 sec cured case had 18% of epoxy uncured from 250 ~ 1000 sec, which was a significant Fig. 10 Strip simulation displacement results (With PMC portion and lead to different thermal expansion coefficient. process) Therefore, 0 sec cured case warpage profile is different comparing to other curves. At last, curing effect contributed Experiment results 6.21 mm z displacement difference between 0 sec cured and The z displacement was measured in the reflow process fully cured cases at 2600 sec. The curing effect provided extra for every 25℃ temperature change on surface of the strip. The shrinkage to the epoxy and lead to the z displacement shift. measurement results in Fig. 11 showed that similar z displacement reflow results were obtained regardless of With PMC process cases were simulated by Moldex3D for different time-temperature history before reflow. This fully cured as well as 90 sec cured and FEA-A for fully cured. phenomenon was agreed with the simulation. The strips were The Moldex3D and FEA-A fully cured warpage profiles were convex above 175℃ and reached 1.96 mm at 260℃. On the consistent as shown in Fig. 10. The z displacement peak value other hand, the strips were concave about -1.5 mm below was about 6 mm existed when ambient temperature was 25℃ 125℃. before and after PMC. The 90 sec cured results showed negative z displacement shift in contrast to fully cured results. Comparing the experiment results with the simulation in The warpage at reflow stage for the two time temperature Fig. 11, the simulation z displacement results changed profile was almost the same. Which implied that the PMC dramatically from convex to concave from 25 ℃ to 125 ℃. process had little effect on warpage. Fully cured results z displacement dropped from 4.58 mm to -
2.50 mm and 90 sec cured results z displacement dropped (a) from 1.06 mm to -1.20 mm. Both trends inconsistent with the experiment warpage. The experiment in mold cure time was about 90 sec. The experiment z displacement was 1.96 mm at 260℃, falling in between the z displacement of fully cured 3.03 mm and 90 sec cured 1.08 mm simulation results. Fig. 12 showed warpages shape of Shadow Moire measurement. The simulation shape was isotropic and consistent with experiment at 260℃. However, the experiment result at 25℃ showed asymmetric shape warpage, different from the simulation of isotropic shape warpage. The (b) effect, which results in asymmetric shape at low temperature, was not clear in this study. The authors thought that it may cause by the constraint from mold chase in the process or unobservable detachment between epoxy and copper. CONCLUSIONS This study did the bi-material strip warpage simulation and experiment. PVTC and visco-elastic effect with TTS were taken account in the simulation. The simulation results showed that curing had significant impact on warpage Fig. 12 Without PMC process Z displacement Shadow amplitude and the PMC process didn’t affect warpage trend. Moire measurement at reflow stage (a) 260℃ (b) 25℃ (epoxy Besides, the simulation can capture the warpage at high facing down) temperature. While simulation and experiment warpage results at low temperature were inconsistent, the problem ACKNOWLEDGMENT should be further investigated. The authors would like to acknowledge the iNEMI sponsors for creating a conducive environment for cross Experiment with PMC 1st reflow sharing of knowledge to enhance the industry best known Experiment with PMC 2nd reflow method in enhancing predictive modeling that mimic the real 8 Experiment without PMC reflow assembly process and material changes. Z displacement (mm) Moldex3D without PMC 90 sec cured reflow 4 Moldex3D without PMC fully cured reflow REFERENCES [1] Lin, Wei, and Min Woo Lee. "PoP/CSP warpage evaluation and 0 viscoelastic modeling." Electronic Components and Technology Conference, 2008. ECTC 2008. 58th. IEEE, 2008. [2] H. Sejin, et al. Integrated flow analysis during filling and post-filling -4 stage of semiconductor encapsulation. TRANSACTIONS- AMERICAN SOCIETY OF MECHANICAL ENGINEERS JOURNAL OF ELECTRONIC PACKAGING, 2000, 122.1: 20-27. -8 25 75 125 175 220 260 220 175 125 75 25 [3] Kelly, et al. "Importance of Molding Compound Chemical Shrinkage in Time (s) the Stress and Warpage Analysis of PQFP’s" TRANSACTIONS ON COMPONENTS, PACKAGING, AND MANUFACTURING Fig. 11 Comparison of measured and simulation Z TECHNOLOGY-PART B, VOL. 19, NO. 2, IEEE, 1996. displacement results [4] Hu Guojun, Luan Jing-En and Chew Spencer. "Characterization of chemical cure shrinkage of epoxy molding compound with application to warpage analysis" JOURNAL OF ELECTRONIC PACKAGING, 2009, 131. [5] C.C. Wang , et al. "Investigation on the P-V-T-C property characterization and its importance on IC encapsulation material application", AIP Conference Proceedings, 2019. [6] M.S. Chae, et al. "Strip warpage analysis of a flip chip package considering the mold compound processing parameters" Electronic Components & Technology Conference, 2013. [7] K.E. Ong, et al. “Molded Electronic Package Warpage Predictive Modelling Methodologies” Molded Electronic Package Warpage Predictive Modelling Methodologies, 2019.
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