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Article: Optimal design of Functionally Graded Materials using a procedural model and Particle Swarm Optimization

TitleOptimal design of Functionally Graded Materials using a procedural model and Particle Swarm Optimization
Authors
KeywordsComsol Multiphysics
Functionally Graded Material
Heterogeneous Material
Optimal Design
Particle Swarm Optimization
Sensitivity Analysis
Issue Date2012
PublisherElsevier Ltd. The Journal's web site is located at http://www.elsevier.com/locate/cad
Citation
Cad Computer Aided Design, 2012, v. 44 n. 4, p. 300-310 How to Cite?
AbstractA new method for the optimal design of Functionally Graded Materials (FGM) is proposed in this paper. Instead of using the widely used explicit functional models, a feature tree based procedural model is proposed to represent generic material heterogeneities. A procedural model of this sort allows more than one explicit function to be incorporated to describe versatile material gradations and the material composition at a given location is no longer computed by simple evaluation of an analytic function, but obtained by execution of customizable procedures. This enables generic and diverse types of material variations to be represented, and most importantly, by a reasonably small number of design variables. The descriptive flexibility in the material heterogeneity formulation as well as the low dimensionality of the design vectors help facilitate the optimal design of functionally graded materials. Using the nature-inspired Particle Swarm Optimization (PSO) method, functionally graded materials with generic distributions can be efficiently optimized. We demonstrate, for the first time, that a PSO based optimizer outperforms classical mathematical programming based methods, such as active set and trust region algorithms, in the optimal design of functionally graded materials. The underlying reason for this performance boost is also elucidated with the help of benchmarked examples. © 2011 Elsevier Ltd. All rights reserved.
Persistent Identifierhttp://hdl.handle.net/10722/157172
ISSN
2015 Impact Factor: 2.149
2015 SCImago Journal Rankings: 1.078
ISI Accession Number ID
References

 

DC FieldValueLanguage
dc.contributor.authorKou, XYen_US
dc.contributor.authorParks, GTen_US
dc.contributor.authorTan, STen_US
dc.date.accessioned2012-08-08T08:45:38Z-
dc.date.available2012-08-08T08:45:38Z-
dc.date.issued2012en_US
dc.identifier.citationCad Computer Aided Design, 2012, v. 44 n. 4, p. 300-310en_US
dc.identifier.issn0010-4485en_US
dc.identifier.urihttp://hdl.handle.net/10722/157172-
dc.description.abstractA new method for the optimal design of Functionally Graded Materials (FGM) is proposed in this paper. Instead of using the widely used explicit functional models, a feature tree based procedural model is proposed to represent generic material heterogeneities. A procedural model of this sort allows more than one explicit function to be incorporated to describe versatile material gradations and the material composition at a given location is no longer computed by simple evaluation of an analytic function, but obtained by execution of customizable procedures. This enables generic and diverse types of material variations to be represented, and most importantly, by a reasonably small number of design variables. The descriptive flexibility in the material heterogeneity formulation as well as the low dimensionality of the design vectors help facilitate the optimal design of functionally graded materials. Using the nature-inspired Particle Swarm Optimization (PSO) method, functionally graded materials with generic distributions can be efficiently optimized. We demonstrate, for the first time, that a PSO based optimizer outperforms classical mathematical programming based methods, such as active set and trust region algorithms, in the optimal design of functionally graded materials. The underlying reason for this performance boost is also elucidated with the help of benchmarked examples. © 2011 Elsevier Ltd. All rights reserved.en_US
dc.languageengen_US
dc.publisherElsevier Ltd. The Journal's web site is located at http://www.elsevier.com/locate/caden_US
dc.relation.ispartofCAD Computer Aided Designen_US
dc.subjectComsol Multiphysicsen_US
dc.subjectFunctionally Graded Materialen_US
dc.subjectHeterogeneous Materialen_US
dc.subjectOptimal Designen_US
dc.subjectParticle Swarm Optimizationen_US
dc.subjectSensitivity Analysisen_US
dc.titleOptimal design of Functionally Graded Materials using a procedural model and Particle Swarm Optimizationen_US
dc.typeArticleen_US
dc.identifier.emailTan, ST:sttan@hkucc.hku.hken_US
dc.identifier.authorityTan, ST=rp00174en_US
dc.description.naturelink_to_subscribed_fulltexten_US
dc.identifier.doi10.1016/j.cad.2011.10.007en_US
dc.identifier.scopuseid_2-s2.0-84856279850en_US
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-84856279850&selection=ref&src=s&origin=recordpageen_US
dc.identifier.volume44en_US
dc.identifier.issue4en_US
dc.identifier.spage300en_US
dc.identifier.epage310en_US
dc.identifier.isiWOS:000300867300003-
dc.publisher.placeUnited Kingdomen_US
dc.identifier.scopusauthoridKou, XY=7005662507en_US
dc.identifier.scopusauthoridParks, GT=7103057721en_US
dc.identifier.scopusauthoridTan, ST=7403366758en_US

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