Modeling and control of friction stir welding
"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, leaf iv.
Mishra, Rajiv S.
Landers, Robert G.
Sarangapani, Jagannathan, 1965-
Mechanical and Aerospace Engineering
Ph. D. in Mechanical Engineering
University of Missouri--Rolla
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
xi, 83 leaves
© 2007 Prabhanjana Kalya, All rights reserved.
Dissertation - Citation
Library of Congress Subject Headings
Aluminum -- Welding
Friction stir welding
Print OCLC #
Link to Catalog Record
Full-text not available: Request this publication directly from Missouri S&T Library or contact your local library.http://laurel.lso.missouri.edu/record=b6622758~S5
Kalya, Prabhanjana, "Modeling and control of friction stir welding" (2007). Doctoral Dissertations. 1765.