Sponsor
Portland State University. Department of Mechanical and Materials Engineering
First Advisor
Sung Yi
Term of Graduation
Summer 2021
Date of Publication
9-27-2021
Document Type
Thesis
Degree Name
Master of Science (M.S.) in Mechanical Engineering
Department
Mechanical and Materials Engineering
Language
English
Subjects
Materials -- Fatigue, Solder and soldering, Integrated circuits -- Reliability, Reliability (Engineering)
DOI
10.15760/etd.7667
Physical Description
1 online resource (vi, 82 pages)
Abstract
Accurate prediction of fatigue life of solder joints in electronic packaging applications becomes of critical importance as semiconductor device technology and manufacturing constraints grow in complexity. To gain visibility on IC device performance and reliability, thermo-mechanical simulation is performed based on a unified, viscoplastic material model, which is dependent on nine parameters.
In this study, an improved method of Anand parameter extraction, which involves curve-fitting non-linear experimental stress data, is proposed to improve the accuracy of numerical predictions for solder reliability. Theoretical equations for uni-axial stress-strain response and creep response are derived, then details on their relevance to experimental and numerical data is explained in detail. Numerical analysis is performed using the Finite-Element method, and both uni-axial and full-package representations are used to evaluate creep damage data.
Previous literature is reviewed, and sources of analytical and numerical error are discussed in comparison to similar work completed in both academia and industry. Finally, the widely used Coffin-Manson model is used to predict reliability using damage data obtained through a uni-axial tensile model, performed using Abaqus simulation software. It is found that in comparison to experimental stress-strain data, the proposed method of curve-fitting produces more accurate data, and the new parameters predict higher fatigue life for both the uni-axial tensile and full package models.
Rights
In Copyright. URI: http://rightsstatements.org/vocab/InC/1.0/ This Item is protected by copyright and/or related rights. You are free to use this Item in any way that is permitted by the copyright and related rights legislation that applies to your use. For other uses you need to obtain permission from the rights-holder(s).
Persistent Identifier
https://archives.pdx.edu/ds/psu/36455
Recommended Citation
Ahari, Arman Millian, "Improved Predictive Modeling Techniques for Non-Linear Solder Material Behavior" (2021). Dissertations and Theses. Paper 5796.
https://doi.org/10.15760/etd.7667