Training Convolutional Neural Networks with Confocal Scanning Acoustic Microscopy Imaging for Power QFN Package Delamination Classification

This study introduces a training protocol utilizing Convolutional Neural Networks (CNNs) and Confocal Scanning Acoustic Microscopy (CSAM) imaging techniques to classify Power Quad Flat No-leads (PQFN) package delamination. The investigation involves empty PQFN packages with varied substrate metallizations subjected to thermal cycling. Four...

Heterogeneous Integration of Diamond Heat Spreaders for Power Electronics Application

Integrated Circuits and Electronic Modules experience concentrated thermal hot spots, which require advanced thermal solutions for effective distribution and dissipation of heat. The superior thermal properties of diamonds are long known, and it is an ideal material for heat-spreading applications. However, growing diamond films to the...

Microstructure Analysis Based on 3D reconstruction Model and Transient Thermal Impedance Measurement of Resin-reinforced Sintered Ag layer for High power RF device

Resin-reinforced silver (Ag) sintering material is an effective and highly reliable solution for power electronics packaging. The hybrid material’s process parameters strongly influence its microstructure and pose a significant challenge in estimating its effective properties as a thin interconnect layer. This research demonstrates a novel 3D...

In-situ reliability monitoring of power packages using a Thermal Test Chip

With an increasing demand for high-power electronics, the need to meet stringent automotive norms and better understand the critical failure mechanisms are crucial in order to improve their reliablity. To that end, we developed an in-situ reliability monitoring setup capable of actively measuring the thermal performance of the package during...