Masters Theses

Abstract

"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.

Advisor(s)

Landers, Robert G.

Committee Member(s)

Mishra, Rajiv S.
Leu, M. C. (Ming-Chuan)

Department(s)

Mechanical and Aerospace Engineering

Degree Name

M.S. in Mechanical Engineering

Publisher

Missouri University of Science and Technology

Publication Date

Fall 2009

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

Pagination

x, 59 pages

Rights

© 2009 Thomas Michael Oakes, All rights reserved.

Document Type

Thesis - Open Access

File Type

text

Language

English

Subject Headings

Axial loadsFriction stir weldingKalman filtering

Thesis Number

T 9580

Print OCLC #

631763332

Electronic OCLC #

751997024

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