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.

Name thesis:degree_name

Ph. D. in Mechanical Engineering

Grantor

University of Missouri--Rolla

Year dc:date.available

2016

Author dc:creator

• Kalya, Prabhanjana

• Mechanical Engineering

Repository record dc:identifier

https://scholarsmine.mst.edu/doctoral_dissertations/1765

OAI identifier oai:identifier

oai:scholarsmine.mst.edu:doctoral_dissertations-2767