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Application of the combined neuro-computing, fuzzy logic and swarm intelligence for optimization of compocast nanocomposites

Tofigh, A. A ; Sharif University of Technology | 2015

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  1. Type of Document: Article
  2. DOI: 10.1177/0021998314538871
  3. Publisher: SAGE Publications Ltd , 2015
  4. Abstract:
  5. In the last few years, an increasing attention has been paid to the issues of saving energy and reducing the manufacturing costs in the transport industry which necessitates further efforts to replace traditional materials like steel with lightweight materials such as plastics, aluminum, magnesium, and composites. Metal matrix nanocomposites have turned into an established material in today's industry with an ongoing expansion in their field of applications. In this study, the formation of nanoparticle-aluminum metal matrix composites is described by compocast processing from nanoparticle Al2O3 and the A356 aluminum alloy. In order to optimize the processing parameters, a novel approach is implemented which relies on combination of adaptive neuro-fuzzy inference system and particle swarm optimization method
  6. Keywords:
  7. Composite ; Metal matrix nanocomposites ; Refined microstructure ; Aluminum ; Artificial intelligence ; Composite materials ; Computation theory ; Fuzzy inference ; Fuzzy logic ; Fuzzy systems ; Metal nanoparticles ; Nanocomposites ; Nanoparticles ; Particle swarm optimization (PSO) ; Plastics industry ; Adaptive neuro-fuzzy inference system ; Aluminum metal matrix composites ; Lightweight materials ; Particle swarm optimization method ; Processing parameters ; Traditional materials ; Metallic matrix composites
  8. Source: Journal of Composite Materials ; Volume 49, Issue 13 , 2015 , Pages 1653-1663 ; 00219983 (ISSN)
  9. URL: http://jcm.sagepub.com/content/early/2014/06/06/0021998314538871