基于电热耦合仿真的BGA焊点缺陷检测研究

Research On Defect Detection For BGA Solder Joints Based On Electrothermal Coupling Simulation

  • 摘要: 针对球栅阵列(BGA)焊点传统检测方法如X射线或单一的热成像技术,在面对微米级缺陷时,常因区分度不足、依赖经验阈值而难以实现精准识别与量化判断。为攻克此难题,本研究构建了基于COMSOL Multiphysics®的多物理场仿真模型,该模型精细呈现了从芯片、焊球到印刷电路板(PCB)的三维结构,并在此基础上建立了电-热耦合的瞬态分析框架。通过引入差异化的接触电阻参数来物理表征虚焊点的高阻特性与桥连点的电流旁路效应,并施加周期性交变电流进行激励,从而有效揭示了缺陷在动态工作条件下的独特响应机制。基于此,提出了结合局部电位异常与温度梯度特征的联合检测判据。该判据有效区分了虚焊的局部热点聚集与桥连的快速热扩散,克服了传统方法对细微缺陷区分度不足的问题,为BGA焊点缺陷提供了一种量化无损检测方法,对提升高密度封装可靠性评估具有重要意义法。

     

    Abstract: Conventional detection methods for ball grid array (BGA) solder joints, such as X-ray or single-mode thermal imaging, often struggle to achieve precise identification and quantitative assessment when confronted with micron-level defects, due to insufficient differentiation and reliance on empirical thresholds. To address this challenge, this study developed a multiphysics simulation model based on COMSOL Multiphysics®. This model accurately represented the three-dimensional structure encompassing the chip, solder balls, and printed circuit board (PCB), and established a transient electrical-thermal coupling analysis framework. By incorporating differentiated contact resistance parameters to physically characterize the high - resistance of cold solder joints and the current-bypassing effect of solder bridging, and by applying a periodic alternating current for excitation, the study effectively revealed the unique response mechanisms of these defects under dynamic operating conditions. Based on these findings, a joint detection criterion combining localized electrical potential anomalies and temperature gradient features was proposed. This criterion effectively distinguished the localized hot-spot concentration associated with cold solder joints from the rapid thermal diffusion caused by solder bridging, thereby overcoming the insufficient differentiation capability of traditional methods for subtle defects. The study provides a quantitative non-destructive testing method for BGA solder joint defects, which is of significant importance for enhancing the reliability assessment of high-density packaging.

     

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