"In Friction Stir Welding Processes, good contact between tool and work piece can be accomplished through control of the axial force signals. A method of stochastic modeling is introduced and used in conjunction with a Kalman filter to develop empirical static and dynamic models relating the axial force to input process parameters. The filtering method reduces signal variance by an order of magnitude. The models are experimentally validated and used to design and implement a general tracking controller with disturbance rejection for axial force control. Online control of the axial force is experimentally validated for bead-on-plate welds using a 6061 aluminum alloy for constant and sinusoidal axial force reference signals"--Abstract, page iv.
Landers, Robert G.
Mishra, Rajiv S.
Leu, M. C. (Ming-Chuan)
Mechanical and Aerospace Engineering
M.S. in Mechanical Engineering
Missouri University of Science and Technology
Journal article titles appearing in thesis/dissertation
- Kalman filtering in manufacturing processes
- Design and implementation of a general tracking controller for friction stir welding processes
x, 59 pages
© 2009 Thomas Michael Oakes, All rights reserved.
Thesis - Open Access
Library of Congress Subject Headings
Friction stir welding
Print OCLC #
Electronic OCLC #
Link to Catalog Recordhttp://laurel.lso.missouri.edu/record=b7475850~S5
Oakes, Thomas Michael, "Filtering, modeling, and control of axial force signals in friction stir welding processes" (2009). Masters Theses. 6785.