Entropy generation methodology for defect analysis of electronic and mechanical components-A review

Review (2020)
Author(s)

Miao Cai (Guilin University of Electronic Technology)

Peng Cui (Guilin University of Electronic Technology)

Yikang Qin (Guilin University of Electronic Technology)

Daoshuang Geng (Guilin University of Electronic Technology)

Qiqin Wei (Guilin University of Electronic Technology)

Xiyou Wang (Guilin University of Electronic Technology)

Daoguo Yang (Guilin University of Electronic Technology)

Guoqi Zhang (TU Delft - Electronic Components, Technology and Materials, Guilin University of Electronic Technology)

Research Group
Electronic Components, Technology and Materials
DOI related publication
https://doi.org/10.3390/e22020254
More Info
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Publication Year
2020
Language
English
Research Group
Electronic Components, Technology and Materials
Issue number
2
Volume number
22
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Abstract

Understanding the defect characterization of electronic and mechanical components is a crucial step in diagnosing component lifetime. Technologies for determining reliability, such as thermal modeling, cohesion modeling, statistical distribution, and entropy generation analysis, have been developed widely. Defect analysis based on the irreversibility entropy generation methodology is favorable for electronic and mechanical components because the second law of thermodynamics plays a unique role in the analysis of various damage assessment problems encountered in the engineering field. In recent years, numerical and theoretical studies involving entropy generation methodologies have been carried out to predict and diagnose the lifetime of electronic and mechanical components. This work aimed to review previous defect analysis studies that used entropy generation methodologies for electronic and mechanical components. The methodologies are classified into two categories, namely, damage analysis for electronic devices and defect diagnosis for mechanical components. Entropy generation formulations are also divided into two detailed derivations and are summarized and discussed by combining their applications. This work is expected to clarify the relationship among entropy generation methodologies, and benefit the research and development of reliable engineering components.