Publication Date
2014
Document Type
Thesis
Committee Members
Ha-rok Bae (Advisor), Sanjiv Kumar Sinha (Committee Member), Zifeng Yang (Committee Member)
Degree Name
Master of Science in Engineering (MSEgr)
Abstract
In manufacturing industry, a successful machine development requires the durability of structure components to meet fatigue life targets. The typical way to obtain fatigue design loads for conceptual design exploration is based on hand calculations or historical data to capture envelopes of expected system responses, which may not guarantee to capture actual damaging loads. In this study, a new approach is developed to extract a fatigue design load set directly from measured load data for a conceptual design exploration. The proposed framework integrates the techniques from data analytics and physics based engineering mechanics to amplify and detect fundamental damaging load patterns. Also, a practical Taguchi optimization method is proposed by using a moving window strategy to minimize the computational cost of design exploration. An industrial scale structural problem, a front linkage structure of a hydraulic excavator, is presented to demonstrate the effectiveness of the proposed methodologies.
Page Count
84
Department or Program
Department of Mechanical and Materials Engineering
Copyright
Copyright 2014, all rights reserved. This open access ETD is published by Wright State University and OhioLINK.
