Automation of friction stir welding process to join aluminum matrix composites by optimization

I. Dinaharan, N. Murugan

Research output: Contribution to journalConference articlepeer-review

16 Citations (Scopus)

Abstract

The objective of this research work is to identify a set of friction stir welding parameters to join aluminum matrix composites which will give higher tensile strength, ductility and wear resistance. AA6061/ZrB2 composites were produced by the in situ reaction of K2ZrF6 and KBF4 with molten aluminum. Plates of 6 mm thickness were prepared from castings and joined using friction stir welding. Four factors, five levels central composite rotatable design was used to minimize the number of experiments. The factors considered were tool rotational speed, welding speed, axial force and weight percentage of ZrB2. Mathematical models were developed to predict tensile strength, elongation and wear rate. The developed mathematical models were optimized using generalized reduced gradient method to obtain higher tensile strength, ductility and wear resistance. The optimized parameters can be fed into the friction stir welding machine to automate the process to achieve desirable joint properties.

Original languageEnglish
Pages (from-to)105-110
Number of pages6
JournalProcedia Engineering
Volume38
DOIs
Publication statusPublished - 2012
Externally publishedYes
EventInternational Conference on Modelling Optimization and Computing - TamilNadu, India
Duration: 10 Apr 201211 Apr 2012

Keywords

  • Aluminum matrix composite
  • Friction stir welding
  • Mathematical model
  • Optimization

ASJC Scopus subject areas

  • General Engineering

Fingerprint

Dive into the research topics of 'Automation of friction stir welding process to join aluminum matrix composites by optimization'. Together they form a unique fingerprint.

Cite this