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Archives > Volume 10 | Number 2 | June 2015 > pp 73–86

Advances in Production Engineering & Management
Volume 10 | Number 2 | June 2015 | pp 73–86

http://dx.doi.org/10.14743/apem2015.2.193

Predictive analysis of criterial yield during travelling wire electrochemical discharge machining of Hylam based composites
Mitra, N.S.; Doloi, B.; Bhattacharyya, B.
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A B S T R A C T
Travelling wire electrochemical discharge machining (TW-ECDM) has great potential for machining advanced non-conducting materials such as zirconia, alumina, silicon nitride, diamond glass, rubies and composites such as FRP etc. Composite materials possess higher strength, stiffness, and fatigue limits which enable structural design more flexible than with conventional metals. Over recent years precision machining of composite materials has gained in importance. The presented research paper includes a description of an indigenously developed TW-ECDM set-up for performing experiments on composite materials such as fibre reinforced plastic. This paper also presents analyses of machining parameters such as material removal rate and radial overcut for different input parameters such as pulse on time, frequency of power supply, applied voltage, concentration of electrolyte and wire feed rate. Taguchi method-based optimization analysis was also done for achieving minimum radial overcut and maximum material removal rate during the cuttings of grooves on Hylam based fibre reinforced composites. Multiple regression models were also established for both material removal rate and radial overcut by considering the more important process parameters for cutting grooves on Hylam based fibre reinforced composites. Finally, a back propagation neural network was applied for predicting the responses and those predictions are compared with the experimental results.

A R T I C L E   I N F O
Keywords • TW-ECDM, Groove cutting, Fibre reinforced composites, Taguchi method, Artificial neural nets
Corresponding authorMitra, N.S.
Article history • Received 2 March 2014, Revised 24 March 2015, Accepted 26 March 2015
Published on-line • 4 June 2015

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