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PBGA封装芯片热环境适应性仿真分析

李永强 吕卫民

李永强, 吕卫民. PBGA封装芯片热环境适应性仿真分析[J]. 北京航空航天大学学报, 2021, 47(9): 1892-1899. doi: 10.13700/j.bh.1001-5965.2020.0339
引用本文: 李永强, 吕卫民. PBGA封装芯片热环境适应性仿真分析[J]. 北京航空航天大学学报, 2021, 47(9): 1892-1899. doi: 10.13700/j.bh.1001-5965.2020.0339
LI Yongqiang, LYU Weimin. Simulation analysis of PBGA packaged chips' thermal environment adaptability[J]. Journal of Beijing University of Aeronautics and Astronautics, 2021, 47(9): 1892-1899. doi: 10.13700/j.bh.1001-5965.2020.0339(in Chinese)
Citation: LI Yongqiang, LYU Weimin. Simulation analysis of PBGA packaged chips' thermal environment adaptability[J]. Journal of Beijing University of Aeronautics and Astronautics, 2021, 47(9): 1892-1899. doi: 10.13700/j.bh.1001-5965.2020.0339(in Chinese)

PBGA封装芯片热环境适应性仿真分析

doi: 10.13700/j.bh.1001-5965.2020.0339
基金项目: 

国家自然科学基金 51975580

详细信息
    通讯作者:

    吕卫民, E-mail: lyq281214@foxmail.com

  • 中图分类号: TJ760.6

Simulation analysis of PBGA packaged chips' thermal environment adaptability

Funds: 

National Natural Science Foundation of China 51975580

More Information
  • 摘要:

    针对多数塑料焊球阵列(PBGA)封装芯片仅依据美军MIL标准进行高低温交变测试致使预测服役寿命偏差较大的情况,将微控制芯片任务状态时间谱转化为环境温度载荷谱,在综合考虑热传导、热对流的情形下,利用icepak完成芯片热电耦合仿真分析,并借助于Transient Thermal及Transient Structural完成芯片结温的获取及焊点应力、应变的计算求解。同时,依据Arrhenius模型及修正Coffin-Manson热疲劳模型分别预测芯片本身及焊点的寿命,从而实现对其热环境适应能力的定量分析。仿真结果表明:芯片的预测寿命约为6.26年,寿命预测偏差约为13.4%,符合GJB 4239-2001中单个关键环境因素预测寿命偏差标准,能够较为精确地反映其热环境适应性。

     

  • 图 1  芯片有限元模型

    Figure 1.  Chip finite element model

    图 2  焊点有限元模型

    Figure 2.  Finite element model of solder joint

    图 3  温度载荷

    Figure 3.  Temperature load

    图 4  芯片温度分布

    Figure 4.  Chip temperature distribution

    图 5  芯片应变示意图

    Figure 5.  Schematic diagram of chip deformation

    图 6  焊点等效塑性应变示意图

    Figure 6.  Schematic diagram of equivalent plastic strain of solder joint

    图 7  芯片温度曲线

    Figure 7.  Chip junction temperature curve

    图 8  温度加速倍率曲线

    Figure 8.  Temperature acceleration rate curve

    图 9  焊点等效塑性应变曲线

    Figure 9.  Solder joint equivalent plastic strain curve

    图 10  焊点等效应力曲线

    Figure 10.  Solder joint equivalent stress curve

    图 11  实际使用寿命数据

    Figure 11.  Actual service life data

    表  1  芯片组成部分结构尺寸

    Table  1.   Chip component structure size

    芯片结构 长度l/mm 宽度b/mm 厚度δ /mm
    硅晶片 14 14 0.3
    BT基板 27 27 0.15
    黏结层 14 14 0.10
    PCB板 30 30 1.0
    下载: 导出CSV

    表  2  材料热特性参数

    Table  2.   Thermal property parameters of material

    零部件 材料 密度/ (kg·m-3) 比热容/ (J·(kg·K)-1) 热导率/ (W·(m·K)-1) 弹性模量/ MPa 泊松比 热膨胀系数/ K-1
    裸芯片 Si 2 330 26+1.99T 180 162 716 0.28 1.3×10-5
    黏结层 环氧树脂 3 500 700 1.5 17 944-37.5T 0.35 *
    基板 聚酰亚胺 1 700 880 0.33 24 132 0.30 1.6×10-5
    镀通孔 Cu 8 933 142+0.68T 387.6 128 932 0.34 1.7×10-5
    PCB板 FR-4 1 900 750 0.2 22 000 0.28 1.9×10-5
    塑封 模塑树脂 1 900 800 0.7 68 220-150T 0.25 *
    焊点 63Sn37Pb 8 470 150 51 75 842-152T 0.35 2.45×10-5
    注:“*”表示此处数值见表 3
    下载: 导出CSV

    表  3  非线性热膨胀系数

    Table  3.   Nonlinear thermal expansion coefficient

    温度/K 233 298 403 418 423 428
    塑封热膨胀系数/K-1 9.0×10-6 0 10-5 1.7×10-5 2.2×10-5 2.7×10-5
    温度/K 233 298 353 363 368 373
    黏结层热膨胀系数/K-1 4.4×10-5 0 4.5×10-5 7.9×10-5 8.9×10-5 9.9×10-5
    下载: 导出CSV

    表  4  本构模型相关参数

    Table  4.   Relevant parameters of constitutive model

    参数 数值
    初始形变阻抗s0/MPa 56.33
    激活能Q/(J·mol-1) 10 830
    指数前系数因子A 1.49×107
    应力因子ξ 11
    应变硬化常数h0/MPa 2 640.75
    应变率敏感指数m 0.303
    形变阻抗饱和值系数/MPa 80.415
    应变率敏感度n 0.023 1
    应变硬化指数α 1.34
    下载: 导出CSV

    表  5  加速退化试验样本数据

    Table  5.   Sample data of accelerated degradation test

    样品序号 加速退化试验时间/h 退化量/% 预测寿命/h
    1# 200 0.55 7 270.7
    2# 200 0.58 6 896.6
    3# 200 0.60 6 666.7
    4# 300 0.83 7 228.9
    5# 300 0.87 6 896.6
    6# 300 0.80 7 500.0
    7# 400 1.10 7 272.7
    8# 400 1.09 7 339.4
    9# 400 1.16 6 896.6
    10# 500 1.40 7 142.9
    11# 500 1.46 6 849.3
    12# 500 1.48 6 756.8
    13# 600 1.70 7 058.9
    14# 600 1.73 6 936.4
    15# 600 1.71 7 017.5
    下载: 导出CSV
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出版历程
  • 收稿日期:  2020-07-13
  • 录用日期:  2020-10-30
  • 网络出版日期:  2021-09-20

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