Doctoral Dissertations
Modeling and control of friction stir welding
Abstract
"Friction stir welding (FSW) is receiving increased attention as an efficient solid state joining process for [a] number of reasons, including its applicability to different materials and high joint efficiencies. This apparently simple technique is affected by a number of different factors, such as process parameters, tool design, material properties and boundary conditions. Therefore, a good understanding of issues related to modeling, control, and metallurgy will be necessary to exploit its maximum potential. The objectives of this study were twofold. First, a discrete neural network (NN) based adaptive controller was developed and implemented on a six-axis robotic FSW machine...Second, the effect of process parameters and tool design was studied utilizing various sensor measurements"--Abstract, page iv.
Advisor(s)
Krishnamurthy, K.
Committee Member(s)
Mishra, Rajiv S.
Acar, Levent
Landers, Robert G.
Sarangapani, Jagannathan, 1965-
Department(s)
Mechanical and Aerospace Engineering
Degree Name
Ph. D. in Mechanical Engineering
Publisher
University of Missouri--Rolla
Publication Date
Fall 2007
Journal article titles appearing in thesis/dissertation
- Control of axial force in friction stir welding - part I: set point determination
- Control of axial force in friction stir welding - part II: neural controller implementation
- Specific energy and temperature mechanistic models for friction stir process of Al-F357
- Effects of tool dimensions on forces and friction in friction stir welding
Pagination
xi, 83 pages
Note about bibliography
Includes bibliographical references.
Rights
© 2007 Prabhanjana Kalya, All rights reserved.
Document Type
Dissertation - Citation
File Type
text
Language
English
Subject Headings
Aluminum -- WeldingFriction stir welding
Thesis Number
T 9328
Print OCLC #
298563661
Recommended Citation
Kalya, Prabhanjana, "Modeling and control of friction stir welding" (2007). Doctoral Dissertations. 1765.
https://scholarsmine.mst.edu/doctoral_dissertations/1765
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