Masters Theses
Abstract
"Functionally Gradient Materials (FGMs) feature smooth transition from one material to another within a single object. FGMs modeling is considered to be one of the new challenges in Computer Aided Design (CAD) area. To overcome this challenge, this thesis presents a composite approach to model FGMs. The input in STL format can be meshed and voxelized in FGMs modeling system. The material composition in each voxel can be generated from multiple different types of control features. And LTI filters including Gaussian Filter and Average Filter are applied to blur default material features in order to generate FGMs inside models. The LTI filtering method gives an effective and controllable approach to distribute material composition in FGMs area. Forbidden zone mapping function is also proposed in this thesis to actively eliminate the forbidden zone in FGMs modeling. Unwanted material composition can be effectively removed from the modeling process while the original material transition trend is preserved. At last, Erosion Function is introduced in the thesis to generate FGMs area between outer portion and inner portion of an object. Material composition contour level map is generated to help the tool path plan for Additive Manufacturing (AM)"--Abstract, page iii.
Advisor(s)
Liou, Frank W.
Committee Member(s)
Leu, M. C. (Ming-Chuan)
Pan, Heng
Department(s)
Mechanical and Aerospace Engineering
Degree Name
M.S. in Manufacturing Engineering
Publisher
Missouri University of Science and Technology
Publication Date
Summer 2016
Pagination
vii, 40 pages
Note about bibliography
Includes bibliographical references (pages 38-39).
Rights
© 2016 Fangquan Wang, All rights reserved.
Document Type
Thesis - Open Access
File Type
text
Language
English
Subject Headings
Functionally gradient materialsComputer-aided designComposite materials -- Computer simulation
Thesis Number
T 10986
Electronic OCLC #
958294145
Recommended Citation
Wang, Fangquan, "Composite model representation for Computer Aided Design of Functionally Gradient Materials" (2016). Masters Theses. 7573.
https://scholarsmine.mst.edu/masters_theses/7573