面向半导体封装的电激励红外失效热点检测方法(特邀)

    Electrically excited infrared hotspot detection method for failure localization in semiconductor packages (invited)

    • 随着半导体封装器件集成度和功率密度不断提升,内部失效机理更加复杂和隐蔽,亟需发展非接触、不开封的快速检测方法。文中提出一种基于电激励的红外失效热点检测方法,通过对封装芯片施加带直流偏置的单极性正弦调制电激励,诱导失效相关导电路径产生调制焦耳热,并结合双通道正交相干解调获得同频幅值图和相位图,实现失效点定位。文中以微处理器失效样件为对象开展试验,结果表明,幅值图可稳定表征失效热点位置,且不同激励条件下具有较好定位一致性;相位图随频率升高呈非线性变化,可提高定位判读的稳健性。在文中试验条件下,电激励频率为0.5~1.25 Hz、电压为1.0~1.4 V时检测效果较优。最后经开封与微光显微成像(Emission Microscopy,EMMI)对照验证,文中方法能够在不开封条件下实现封装芯片失效热点的快速、准确定位,可为半导体封装原位失效诊断与可靠性评估提供一种有效技术途径。

       

      Abstract:
      Objective Semiconductor packaged devices often require failure diagnosis under the constraints of noncontact measurement, no package opening, and rapid hotspot localization. In practice, defect induced thermal signatures can be weak and may be obscured by direct current background radiation, slow temperature drift, and asynchronous disturbances. In addition, thermal diffusion in multilayer package structures reduces spatial contrast, which limits localization robustness. This work proposes an electrically excited infrared thermography method that uses internal Joule heating as a defect related heat source, enabling hotspot enhancement and localization without decapsulation.
      Methods A unipolar sinusoidal electrical excitation with a direct current bias is applied to the specimen, so that defect related conductive paths generate a periodically modulated Joule heating component at the fundamental excitation frequency. An infrared camera records the surface temperature sequence. Pixelwise dual channel orthogonal coherent demodulation is performed by discrete correlation with in phase and quadrature reference signals over an integer number of excitation periods, and the fundamental frequency amplitude plot and phase plot are reconstructed (Fig.1). This demodulation suppresses the direct current background, slow drift, and asynchronous noise. For objective comparison across different excitation conditions, a peak gradient based self calibrated spatial partition is introduced to determine a characteristic hotspot scale, and a coupled metric that jointly reflects peak significance and spatial focusing is constructed for parameter selection; the defect cluster center is obtained using a lightweight unsupervised clustering step (Fig.5, Fig.6).
      Results and Discussions Experiments were conducted on an electrically overstressed Microcontroller Unit (MCU) specimen in a quad flat package, and the reconstructed amplitude plots exhibit a single peak distribution that is close to Gaussian around the defect; the peak position remains consistent across excitation conditions, demonstrating stable localization (Fig.4). Frequency sweep results show that increasing the frequency markedly reduces the core hotspot area, indicating enhanced spatial focusing (Fig.7(a)), while the peak significance decreases at higher frequencies (Fig.7(c)). Nevertheless, the coupled metric increases overall with frequency (Fig.7(b)), indicating that the gain from spatial focusing exceeds the loss in peak magnitude under the tested conditions. Voltage sweep results indicate that the core area varies weakly with the excitation amplitude and shows larger scatter (Fig.8(a)), whereas the coupled metric exhibits a clear nonlinear trend across the tested range (Fig.8(b)), consistent with the combined influence of peak magnitude and spatial diffusion (Fig.8(c)). Phase plots show a stable phase anomaly region across multiple frequencies (Fig.9). The phase increases with frequency in a nonlinear manner and tends to saturate at higher frequencies (Fig.10), and phase profiles provide repeatable extrema that can serve as an auxiliary and more robust cue for localization (Fig.11, Fig.12). Decapsulation inspection, bare die observation, and emission microscopy (EMMI) comparison confirm that the localized infrared hotspot corresponds to the electrically abnormal region (Fig.13).
      Conclusions An electrically excited infrared thermography approach combined with orthogonal coherent demodulation is developed for hotspot localization in semiconductor packaged devices without decapsulation. Joint amplitude and phase analysis supports objective parameter selection and improves localization robustness. Under the experimental conditions of this work, a lock in frequency range of 0.5 Hz to 1.25 Hz and an excitation amplitude range of 1.0 V to 1.4 V are more favorable for stable defect detection and localization.

       

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