Doctoral Dissertations


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, page iv.


Krishnamurthy, K.

Committee Member(s)

Mishra, Rajiv S.
Acar, Levent
Landers, Robert G.
Sarangapani, Jagannathan, 1965-


Mechanical and Aerospace Engineering

Degree Name

Ph. D. in Mechanical Engineering


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


xi, 83 pages

Note about bibliography

Includes bibliographical references.


© 2007 Prabhanjana Kalya, All rights reserved.

Document Type

Dissertation - Citation

File Type




Subject Headings

Aluminum -- Welding
Friction stir welding

Thesis Number

T 9328

Print OCLC #


Link to Catalog Record

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