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  4. Reverse Engineering of QFN Epoxy Mold Compound Properties using Digital Image Correlation
 
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2026
Conference Paper
Title

Reverse Engineering of QFN Epoxy Mold Compound Properties using Digital Image Correlation

Abstract
Knowing the thermomechanical material properties of Epoxy Mold Compound (EMC), especially in its processed state, is crucial for reliability simulations of electronic systems containing Commercially-Off-The-Shelf (COTS) components. However, these thermomechanical properties for COTS components are often unknown. In this work we present a method utilizing temperature dependent strain data obtained via Digital Image Correlation (DIC) and out-of-plane warpage measurements. The proposed approach is first applied in a simulative feasibility study, showing promising results with a maximum deviation of 6.9 % for the determined Young's modulus and CTE before and after the glass transition temperature. For the experimentally measured data of a QFN48 we found unique optima for the thermomechanical properties. Verifying the found values is difficult but we were able to measure the Young's modulus by indentation at room temperature which indicated a deviation of 8 % of the found optima. This promising approach is thus able to extract thermomechanical material properties of COTS components.
Author(s)
Kuttler, Simon
Fraunhofer-Institut für Zuverlässigkeit und Mikrointegration IZM  
Dijk, Marius van  
Fraunhofer-Institut für Zuverlässigkeit und Mikrointegration IZM  
Wittler, Olaf  
Fraunhofer-Institut für Zuverlässigkeit und Mikrointegration IZM  
Schneider-Ramelow, Martin
Technische Universität Berlin
Mainwork
27th International Conference on Thermal, Mechanical and Multi-Physics Simulation and Experiments in Microelectronics and Microsystems, EuroSimE 2026. Proceedings  
Conference
International Conference on Thermal, Mechanical and Multi-Physics Simulation and Experiments in Microelectronics and Microsystems 2026  
DOI
10.1109/EuroSimE69483.2026.11511923
Language
English
Fraunhofer-Institut für Zuverlässigkeit und Mikrointegration IZM  
Keyword(s)
  • Digital Image Correlation

  • Material properties

  • Out-of-plane warpage measurements

  • Reverse engineering

  • Simulation

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