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Selection of optimal part orientation in fused deposition modelling using swarm intelligence

DSpace at IIT Bombay

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Title Selection of optimal part orientation in fused deposition modelling using swarm intelligence
 
Creator GHORPADE, A
KARUNAKARAN, KP
TIWARI, MK
 
Subject computer-aided-design
optimization
stereolithography
integration
algorithm
accuracy
support
system
fused deposition modelling
part orientation
particle swarm optimization
genetic algorithm
 
Description This paper presents a swarm intelligence approach for optimal orientation of a part produced by the fused deposition modelling method, with a view to reduce the volumetric errors that are primarily responsible for poor surface finish. A part is oriented in such a way to assist the designer in reducing build time, while at the same time enhancing part quality and orientational efficiency. The conventional approach in optimization of part orientation considers only minimization of the staircase effect in order to enhance the part quality. In the approach used by the present authors, a part is oriented by transforming it about x and y axes and an orientation is selected that not only provides minimum volumetric error and building time but also enhances orientational efficiency of the fused deposition modelling method. Using the swarm intelligence technique, the hierarchical particle swarm optimization algorithm is employed to obtain optimal part orientation. The results obtained by using the hierarchical particle swarm optimization algorithm are further compared with the results obtained by using the genetic algorithm; the results reveal that the hierarchical particle swarm optimization algorithm provides a better outcome than the genetic algorithm. An example is given to illustrate the approach.
 
Publisher PROFESSIONAL ENGINEERING PUBLISHING LTD
 
Date 2011-08-27T08:40:53Z
2011-12-26T12:57:49Z
2011-12-27T05:45:29Z
2011-08-27T08:40:53Z
2011-12-26T12:57:49Z
2011-12-27T05:45:29Z
2007
 
Type Article
 
Identifier PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART B-JOURNAL OF ENGINEERING MANUFACTURE, 221(7), 1209-1220
0954-4054
http://dx.doi.org/10.1243/09544054JEM771
http://dspace.library.iitb.ac.in/xmlui/handle/10054/11604
http://hdl.handle.net/10054/11604
 
Language en