Effect Of Finite Element Modeling Techniques On Solder Joint Fatigue .

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Effect of Finite Element Modeling Techniques on Solder Joint Fatigue Life Predictionof Flip-Chip BGA Packages1Xuejun Fan1, Min Pei2, and Pardeep K. Bhatti1Intel Corporation, M/S CH5-263, 5000 W Chandler Blvd, Chandler, AZ 852262Georgia Tech, 801 Ferst Dr. NW, Atlanta, GA 30332-0405xuejun.fan@intel.comAbstractSolder joint fatigue life in thermal cycling has beenstudied for decades using the finite element method. A greatvariety of modeling methodologies such as global/localmodeling (sub-modeling) and sub-structure modeling(superelement) has been developed. Many different types ofconstitutive equations for solder alloys, various loadingassumptions, and several definitions of damage parametershave been used. However, the accuracy of these differentmodeling approaches has not been completely evaluated inliterature. There has been some long-standing confusionregarding the modeling assumptions and their effect on theaccuracy of models, such as the initial stress-free temperaturesetting, selection of damage parameters, and choice ofelement type. This paper presents a comprehensive study offinite element modeling techniques for solder joint fatigue lifeprediction. Several guidelines are recommended to obtainconsistent and accurate finite element results.IntroductionFinite element method has been used for a long time tostudy the solder joint fatigue life in thermal cycling. Thefatigue modeling process consists of four primary steps [1].First, the constitutive material models are chosen. Selection ofan appropriate constitutive model that describes the solderbehavior in the actual packaging application is critical toobtain accurate results. Second, the FEA model is createdwith the appropriate boundary conditions. The stress/strainvalues are calculated in this step. Third, the FEA results areused to develop a fatigue equation that predicts the number ofcycles to failure, Nf. The form of fatigue model depends onthe constitutive model selected in the first step. For example,if damage mechanics approach is used, the fatigue modelmight be based on void coalescence and growth. Fourth, themodel results must be verified using thermal cycling test data.These four steps describe the general process by which apredictive fatigue model is developed and verified.Available solder joint fatigue models can be categorized as(i) strain based [2][3][6], (ii) strain energy based [4][5][6],(iii) fracture based [7][8][9], and (iv) damage based [10].Stress based models are generally not used because low cyclefatigue is the dominant solder joint failure mode in thermalcycling. But the stress based model can be potentially used atshock and vibration load conditions.This paper will focus on the second step - the creation offinite element model and the extraction of damage parameters,by investigating the effect of modeling techniques on theaccuracy of board-level solder joint fatigue life prediction. Aflip-chip ball grid array (BGA), commonly used packagingtechnology in computer and many other applications, isconsidered in this investigation. Solder creep is assumed to be1-4244-0152-6/06/ 20.00 2006 IEEEthe dominant material behavior for both SnPb and SnAgCumaterials. A double-power creep law is used [11][12] in thispaper. A full non-linear finite element model, in which severalsolder balls at the locations of interest have a refined meshpattern, is created as a baseline to compare and investigate theaccuracy of global/local and sub-structure modeling methods.The worst case solder joint location is then identified based onthe full non-linear model results and by using various damagemetrics. The effect of initial stress-free condition in thesimulation on model results is investigated. The choice ofelement type for PCB and substrate to accurately describe thebending behavior of package is discussed in detail. The effectof tie constraints (or multi-point constraints) is alsoinvestigated. The results show that very consistent finiteelement results can be obtained when certain rules arefollowed.Finite Element ModelingThe flip-chip BGA package is modeled using thecommercially available finite element software ABAQUS. APython language script was written to generate BGA finiteelement models automatically with various geometricparameters.In this paper, only the second level interconnect (solderjoint between the package and the PCB) is studied. A full nonlinear, quarter symmetry finite element model was created. Inthis model, half of the solder joints under the die shadowregion have a refined mesh pattern, as shown in Figure 1. Therest of the solder joints are modeled with a relatively coarsemesh. Cross sections of a coarse and a refined cell are shownin Figure 1(b) and Figure (c), respectively. Copper pads oneach side of the solder joint are modeled in both cases. Thesolder joint is solder mask defined (SMD) on the package sideand metal defined (MD) on the board side. Details of bothcoarse and refined mesh patterns and geometry of solder ballsare shown in Fig. 2. The refined solder ball cell uses meshtransition to connect to the coarse mesh without the use of tieor multi-point constraints.Material PropertiesThere is considerable variation in the published test dataon mechanical properties of solder alloys due to tolerances inthe measurement equipment/techniques and variability in testspecimen design and preparation. This has resulted in severalconstitutive material models to describe the plasticity andsteady state creep behavior of solders. One challenge has beenhow to separate the time-independent (plastic) and timedependent (creep) inelastic components from the measuredstrains, especially at high temperatures. A combined creepand plasticity material model, which captures the total strainbehavior in the operating range, was proposed by Wong,Helling, and Clark for 63Sn37Pb eutectic alloy [12]. Bhatti et9722006 Electronic Components and Technology Conference

al. [13][14][15] implemented this constitutive model anddeveloped 3-dimensional package level finite element modelsto perform solder joint creep simulations. This material modelcan be written asε& σ&3 σ σ B1 D B2 D E E E SnAgCuwhereε& Total strain rate (1/sec)σ Stress (MPa)E Modulus of Elasticity (MPa) 56000 88TT Temperature (K)B1 1.70 1012 1/secB2 8.90 10 24 1/sec 5413 D exp T The second term in the equation (1) accounts for the grainboundary sliding (GBS) creep strain and the third termaccounts for the matrix creep (MC) strain.Wiese et al. [11] studied the creep behavior of bulk, PCBsample, and flip chip solder joint samples of Sn/4.0Ag/0.5Cusolder and identified two mechanisms for steady state creepdeformation for the bulk and PCB samples. They attributedthese to climb controlled (low stress) and combinedglide/climb (high stress) mechanisms and represented steadystate creep behavior using a double power law model asshown belowε& σ A1 D1 E σnσ&3 σ A2 D2 σn12 (2)whereTable 1 Material f Thermal(GPa)Expansion(ppm/ 024.20.1119.625.520.0Edge Singularity and Volume AveragingMesh density sensitivity is a critical issue in FEAsimulations with dissimilar materials. This arises from theedge singularity at the solder joint to copper pad interface.Therefore the maximum stress/strain value in the solder jointis dependent on the mesh density. In order to minimize theeffect of this singularity, a widely-used technique is volumeaveraging over a thin layer of solder material along the solderjoint and copper pad interface [6][7]. Syed used a thickness of25 micron (1mil) for this layer in his creep strain basedfatigue model [6]. Darveaux used a 30 micron thick layer inhis fracture mechanics based model [7]. In this paper, 25micron thick layers are used on the both sides of solder ballwith refined mesh pattern, and modeled with two layers ofelements across the thickness, as shown in Figure 2(b). Modelresults are averaged over these layers of elements. Theseinclude cumulated equivalent creep strain (denoted byCEEQ), cumulated creep strain energy density (ECDDEN)and Von Mises stress.ε& Total strain rate (1/sec)σ Stress (MPa)E Elastic Modulus (MPa) 59533 66.667TT Temperature (K)A1 4.0 10 7 1/secA2 1.0 10 12 1/sec 3223 D1 exp T 7348 D2 exp T σ n 1 MPaThe second term in the equation (2) represents the climbcontrolled creep strain and the third term represents thecombined glide/climb strain. Syed [6] applied this creepmodel to develop a fatigue life model for SnAgCu solders.Published material properties [6] are used for all othermaterials as listed in Table 1.Figure 1: A full non-linear model of a FC-BGA package, (a)quarter package, (b) coarse cell, and (c) refined cell9732006 Electronic Components and Technology Conference

This shows that the maximum value is highly sensitive tomodeling technique. However, the global/local modelingapproach provides satisfactory results for the volumetricallyaveraged values for this package.(a)(b)Figure 2: Solder joints with coarse and refined mesh patternsThermal Cycle LoadingThermal cycle profile used in the paper has a range of -25to 100 C. Dwell time at each extreme is 15min, and up / downramp time is 8 minutes.(a) Per-cycle CEEQAccuracy of Global/Local ModelingAlthough the global/local modeling approach is widelyused to capture the local solder joint behavior, the accuracy ofglobal/local modeling (also known as sub-modeling) has notbeen fully evaluated to the authors’ best knowledge. In thissection, the sub-modeling results are compared to the resultsfrom the full non-linear model shown in Fig. 1. An exampleof a global/local model is shown in Figure 3. The size of thelocal model is equal to one solder ball pitch.(b) Von Mises StressFigure 4: Comparison of global/local model vs. full model(a) Global model(b) Local modelFigure 3: Global/local modelIn Figure 4(a), per-cycle CEEQ (both averaged andmaximum) is compared for two modeling approaches. Figure4(b) shows the peak Von Mises stress (both averaged andmaximum) during the thermal cycle, which occurs at thebeginning of low temperature dwell. These results show thatthe difference between the two models is only 1.5% foraveraged per-cycle CEEQ and averaged stress (sameconclusions can be made for the averaged per-cycle strainenergy density). The maximum values of per-cycle CEEQ andper-cycle creep strain energy density between the twoapproaches differ by up to 7%. These values are calculated atthe solder ball under die shadow corner. For other solder ballsunder the die shadow region, this relative error can be as highas 20%, while the averaged values are always within 5% forthese two approaches.Accuracy of Sub-structure ModelingSub-structuring is a procedure that condenses a group offinite elements into one element represented as a stiffnessmatrix.This condensed sub-structure is called asuperelement, while the rest of the structure is called theresidual model. In a nonlinear analysis, one can sub-structurepart of the model so that the element matrices for that portionneed not be recalculated in every iteration. This approachrequires only one analysis of the superelement for a unitloading condition (e.g. 1 degree rise or fall in temperature).Using appropriate scaling factors, the superelement can thenbe used repeatedly in the analysis of the residual structure.The limitation of using this method is that the superelementcannot include materials with non-linear, temperaturedependent behavior. This limitation, however, can beovercome by either excluding these materials from thesuperelement or by doing multiple sub-structure analyses.The superelement approach was first used by Bhatti et al. tosimulate electronic packages [14]. In order to achievesignificant savings in computational time, they also includednon-critical solder joints in the superelement by assuminglinear behavior and temperature independent elastic modulusfor these joints. The modulus of elasticity of non-criticalsolder joints is an artificially lowered, calibrated value of 1GPa, which was obtained by comparing superelement and full9742006 Electronic Components and Technology Conference

model results of a leaded package (e.g. PLCC and QFP) thatresulted in less than 5% effect on the creep strain in thecritical joint [14]. It is important to note that at the time thismodeling approach was first published in 1993 by Bhatti et al.[14], available computing power made application of thistechnique a necessity so that 3-dimensional simulations couldbe completed in a practically reasonable time. However, withthe computing power available in current high-end workstations, this technique is no longer required for a reasonablesize package model.In this study, the superelement approach is investigated forflip chip BGA packages and compared with full non-linearmodel. To save model creation time, an alternative approachequivalent to the sub-structure method is used. In this method,the full finite element model is built and only critical solderjoints that would be in the residual structure are assigned nonlinear creep properties. The non-critical solder balls thatwould be part of the superelement use linear materialproperties with an effective modulus of elasticity of 1 GPa.We validated that this alternate approach provides resultsidentical to the superelement approach by running averification superelement case.A comparison between superelement and full nonlinearmodel results is shown in Figure 5(a). The results show thatthe superelement method gives about 60% higher averagedper-cycle CEEQ compared to the full model for SnPb. Thesituation is worse for the stiffer SnAgCu solder. It’s alsonoted that the maximum averaged CEEQ and Von Misesstress are in different solder joints in these 2 models. Thereason for this difference is that the solder balls using theeffective modulus of elasticity (1 GPa) do not provide thesame support as real solder joints in the BGA package. Thewhole package becomes more compliant, and thus moredeformation is introduced on solder joints. Because theeffective modulus of elasticity is same for both soldermaterials, the stiffer SnAgCu solder introduces an even largererror. However, it is important to note that since the fatiguelife equations published in [16][17] are developed based onthe superelement (not the full nonlinear model) results, thesemodels still provide very good accuracy in predicting thefatigue life for a variety of packages.Interestingly, we also discovered that for this BGApackage, when we modeled all non-critical solder joints withreal temperature-dependant Young’s modulus but still withoutcreep properties, the results were close to the full modelapproach, as shown in Figure 5(b). However this approachdoes not save significant computational time over the fullnonlinear model.In summary, sub-structure approach is very advantageouswhen most of the materials in a structure can be simulatedwith linear, temperature independent properties without asignificant loss of accuracy. However, caution must be usedwhen assumption of linearization is made.(a)(b)Figure 5: Superelement vs. Full model Results, (a) Useeffective elastic modulus (1GPa) for non-critical solder joints,(b) Use temp-dependent elastic modulus (w/o creep) for noncritical solder jointsWorst Case Solder Joint LocationIn finite element simulation, the location of worst-casesolder joint (i.e. the first one to fail) depends on the damageparameter chosen. Traditionally, the worst-case solder joint isconsidered to be under silicon die shadow corner for FC-BGApackages. In this study, since we have a full nonlinear modelwith half of the solder joints under the die shadow modeledwith a refined mesh pattern, as shown in Figure 1(a), adistribution of desired parameters over all the solder ballsunder die shadow can be obtained (due to 1/8th symmetry).The 3-D distribution plots of the maximum and averagedper-cycle CEEQ are shown in Figure 6, where location 1-1solder joint is closest to the center of package and location 7-7is under the die shadow corner.9752006 Electronic Components and Technology Conference

(a) Averaged value(b) Maximum valueFigure 7: Von Mises stress distribution over solder balls underthe die shadowFollowing the analysis of Modi et al. [19], the averaged‘peel’ stress is also plotted in Figure 8. Peel stress is definedas stress in the out-of-plane direction at the solder joint tocopper pad interface. It can be seen that the solder joint onerow inside from the die shadow corner (location 6-6) has thehighest tensile stress. The solder joints under die corner and inthe middle of die edge have compressive stress. The averagedhydraulic stress distribution, in Figure 9, shows trend similarto the peel stress.(b) Maximum valueFigure 6: Per-cycle CEEQ distribution over solder balls underthe die shadowFrom Figure 6(a) the solder joint in the middle of die edge(location 1-7) has the highest per-cycle average CEEQ. Allsolder joints along the die edge have comparable valueswithin 20% of each other. However, the maximum per-cycleCEEQ, in Figure 6(b), shows the worst-case solder joint at thecorner of die shadow (location 7-7), and the second highestvalue appears one row inside from the die shadow corner(location 6-6). All solder joints along die edge have relativelyhigh strain accumulation.The averaged and maximum Von Mises stress at thebeginning of low-temperature dwell are shown in Figure 7,and show trend similar to CEEQ.Figure 8: Peel stress distribution over solder balls under thedie shadowFigure 9: Hydraulic stress distribution over solder balls underthe die shadow(a) Averaged value9762006 Electronic Components and Technology Conference

This analysis shows that different parameters givedifferent locations for the worst-case solder joint. Averagedper-cycle creep strain and stress shows the worst-case solderjoint at the middle of die edge, while the maximum value ofthese two parameters show the worst joint at the die corner.Peel stress and hydraulic stress find the maximum tensilestress at the joint one row inside from the die shadow corner.External [19] and Intel experimental data suggest that thesolder joint one row inside from the corner of die shadowusually has the highest crack growth rate, and all solder jointsalong the die edge have comparable crack growth rates. Basedon these observations, we suggest that a combination of peelstress and cumulative creep strain be used to determine theworst case solder joint location and the averaged creep strainat that location be used to develop the fatigue life model. Itshould be noted that this conclusion is for ‘no-preload’ case,when there is no load exerted on the package by a heatsink oranother cooling device. For an investigation of the effect ofpreload, the reader is referred to another paper by the authors[20].when the initial stress-free is assumed as Tmax or roomtemperature, the stabilized per-cycle CEEQ can be achievedeven after the first cycle, which can save significant amountof computational time.For SnAgCu, the history plot of the per-cycle CEEQ up to10 cycles is shown in Figure 10(b). After 10 cycles, all threecases almost converge to same value. Unlike SnPb, morecycles are needed to achieve stabilized results if the reflowtemperature is used as initial stress-free condition. This isfurther illustrated by the Von Mises stress plot in Figure 11(b) and (d). The peak stress shown in Figure 11(b) and thehistory plot in Figure 11(d) show that the stress is not fullystabilized even after 10 cycles. Again, regardless of the initialstress-free condition, the package has higher stresses at lowtemperature dwell and relaxes significantly at hightemperature dwell period. Since SnAgCu is more creepresistant and stiffer than SnPb, it takes more cycles forSnAgCu solder joints to stabilize.Initial Stress-Free ConditionThere has been a long-running debate on the selection ofinitial stress-free temperature in solder joint modeling [21].There are three most commonly used initial stress-freetemperatures. One is the solidus temperature of solder alloy(e.g. 217 C for SnAgCu). This condition considers that thesolder joints start to provide mechanical support as soon as thesolder material solidifies during the reflow process. Thesecond one is the room temperature as the initial stress-freecondition (e.g. 25 C). This assumes that the shipping andstorage time is sufficient to relax all the residual stresses insolder joints from the assembly process. The last one uses thehigh dwell temperature of thermal cycle or operatingconditions (denoted as Tmax, e.g. 125 C for thermal cyclingfrom -25 C to 125 C). This assumes that after several thermalcycles, the package reaches a stabilized cyclic pattern wherethe lowest stresses are seen at the end of the high temperaturedwell period.All three scenarios were simulated and the results arediscussed below. For each case, a total of 10 thermal cycleswere run in order to ensure that a stable cyclic pattern wasachieved.Figure 10(a) plots the history of per-cycle CEEQ for SnPb.It can be seen that the initial stress-free condition affects theper-cycle CEEQ in first two cycles of simulation only. Afterthat the per-cycle CEEQ stabilizes quickly for all three casesand the results converge to same value. Figure 11(a) showsthe peak Von Mises stress (averaged) in each cycle and Figure11(c) plots the Von Mises stress history for all three cases.Regardless of the initial stress-free temperature, the packagealways relaxes to the lowest stress during the hightemperature dwell period after the first cycle. This implies thatwhatever the initial stress state is, because of the viscousbehavior of SnPb material, solder joints always experiencehighest stress at the beginning of the low temperature dwellperiod and tend to relax to ‘near-zero’ stress at the end of hightemperature dwell period. The transition of ‘stress-free’ frominitial condition to high-dwell temperature is completed afteronly one thermal cycle for SnPb. Figure 10 also shows that977(a) SnPb Solder(b) SnAgCu solderFigure 10: Averaged per-cycle CEEQ(a) SnPb, peak value2006 Electronic Components and Technology Conference

(b) SnAgCu, peak value(a) Reflow temp as initial stress-free temperature(c) SnPb, history data(b) Room temperature as initial stress-free temperatureFigure 12: Peel stress distribution comparison(d) SnAgCu, history dataFigure 11: Averaged Von Mises stressFigure 12 (a) and (b) show the peel stress distribution forSnPb during the 10th cycle across all solder joints under thedie shadow, with the initial stress-free temperature as reflowtemperature and room temperature, respectively. The trend issimilar for these two cases but the values are slightlydifferent.This analysis shows that for viscous materials such assolder, regardless of initial stress-free condition, the structureadjusts the stress state during thermal cycling and reaches thelowest stress at the end of high temperature (Tmax) dwell.Usually the per-cycle stabilized values of strain or stainenergy density are used in fatigue life prediction, therefore itis recommended to use Tmax as initial stress-free condition toachieve the stabilized solutions as quickly as possible. Thisincreases the computational efficiency significantly.Choice of Element TypeHexahedral three dimensional finite elements come inlinear or quadratic formulation. Furthermore, the analyst has achoice of full integration, reduced integration, incompatiblemode, and hybrid element formulations. For a large BGApackage, the deformation during temperature cycling isdominated by the bending of the PCB and BGA substrate.Therefore, elements that accurately model bending behaviorare optimal choice for solder joint fatigue analysis. Some solidelements perform poorly in bending because of shear lockingand/or hourglassing phenomena [22]. Shear locking, orparasitic shear, is caused by an inaccuracy in the displacementfield of a linear hexahedral element.Figure 13 compares the CEEQ history for the fullintegration solid element (C3D8) and reduced integrationsolid element (C3D8R). Almost 4x difference in per cycleCEEQ is seen with these two integration schemes. Thedeformation plot, shown in Figure 13(b), further confirms thewide difference. The out of plane displacement (marked as Ydisplacement in this figure) of the solder joint at the packagecorner clearly shows that these two element types give verydifferent results for board deformation. Reduced integrationlinear solid element is more accurate in capturing the bendingdeformation. Therefore caution must be used with linear solidelement with full integration. However, for smaller packageswhere bending is insignificant, similar results can be expectedfor these two integration schemes.9782006 Electronic Components and Technology Conference

if mesh requires irregular shaped elements with small or largeinterior angles.(a) CEEQ historyFigure 14: Results comparison for different element typesEffect of Multiple or Tie ConstraintMesh continuity between parts of the model is not alwayseasy to achieve. Multi-point constraints (MPC) or Tieconstraints serve as convenient tools for mesh transition.However, it is recommended that such constraints be placedaway from the location of interest (e.g. solder/pad interface).Figure 15 shows a tie constraint placed above the solder jointbetween the copper pad and the BGA substrate. Thisconfiguration introduces about 40% error in the averagedaccumulated creep strain, as shown in Figure 16.(b) Out of plane displacement at solder jointFigure 13: Comparison of reduced integration and fullintegration elementsQuadratic 3D hexahedral elements are generallyconsidered most accurate. However, quadratic elements needsignificantly longer computational times (5 10x compared tothe linear elements) and have much larger memoryrequirements. Linear solid element with reduced integration isa good choice if sufficient element layers are included in thePCB and BGA substrate. Even with more element layers, thelinear element models still have much shorter computationaltime compared to quadratic elements.Five models of the same BGA package were built toinvestigate element types and number of element layers. Thefirst model uses 3 layers of linear reduced integrationelements in the PCB and 2 layers in the substrate. This modelis marked as the “current linear model”. Two other modelsuse 4 and 6 layers of linear reduced integration elements inthe BGA substrate and the PCB. The 4th model uses 4 layersof incompatible mode solid elements (C3D8I in ABAQUS) inthe PCB and the BGA substrate. Finally, the last model usesquadratic elements with 3 layers in the PCB and 2 layers inthe BGA substrate. The averaged per-cycle CEEQ results ofthese 5 models are shown in Figure 14. Overall, linearelement with reduced integration used with 4 or 6 layers givessatisfactory results when compared to the quadratic element.Incompatible mode linear hexahedral element alsoprovides accurate results, as shown in Figure 14. However, itis very sensitive to element distortions and should not be usedFigure 15: Tie constraint above the solder jointFigure 16: Effect of the Tie constraintSummaryThis paper investigated several aspects in developing anaccurate finite element model for obtaining consistent resultseven if different FEA software packages are used. Volumeaveraging method is recommended to minimize the stresssingularity and mesh sensitivities. Most accurate and9792006 Electronic Components and Technology Conference

consistent finite element results for the solder joint fatigue inthermal cycling can be achieved when certain guidelines arefollowed. The following is a summary of our findings andrecommendations based on extensive simulation studies:1. The global/local modeling approach yields satisfactoryresults if the local model is a cell with one solder ballpitch dimension and no tie constraints are used in thelocal model other than at the boundaries.2. Substructure technique can be used without a significantloss of accuracy when most of the structure can besimulated with linear, temperature-independent materialproperties. However, caution must be used when anassumption of linearization is made.3. The worst-case solder joint location depends on theselection of the damage metric. It is suggested that theworst-case location be determined by a combination of‘peel’ stress and averaged creep strain. A proper damagemetric (e.g. averaged accumulated creep strain or strainenergy density) at the location of interest can then beused to develop the fatigue life prediction model.4. Regardless of the initial stress-free temperature, thepackage always adjusts the stress state to achievestabilized pattern in temperature cycling. Tmax isrecommended as the initial stress-free temperature toachieve stabilized solution quickly and to significantlyincrease the computational efficiency.5. Linear hexahedral element with reduced integration isrecommended if 4 to 6 element layers are included in thePCB and the BGA substrate. Linear hexahedral elementwith full integration should be avoided, especially if thepackage and PCB undergo significant bending. Quadratichexahedral element gives most accurate results butincreases the computational time significantly.Reference[1] W.W. Lee, L.T. Nguyen, G.S. Selvaduray, Solder JointFatigue Models: Review And Applicability to chip scalepackages, Microelectronics Reliability, 40(2000), 231244[2] TJ. Kilinski, JR. Lesniak, BI. Sandor, Modernapproaches to fatigue life prediction of SMT solderjoints. In JH. Lau, editor. Solder joint reliability theoryand applications. New York: Van Nostrand Reinhold,1991 (Chapter 13)[3] JHL. Pang, T. Tan, SK. Sitaraman, Thermo-mechanicalanalysis of solder joint fatigue and creep in a flip chip onboard package subjected to temp

element type. This paper presents a comprehensive study of finite element modeling techniques for solder joint fatigue life prediction. Several guidelines are recommended to obtain consistent and accurate finite element results. Introduction Finite element method has been used for a long time to study the solder joint fatigue life in thermal .

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