Preliminary communication

Taguchi-fuzzy based mapping of EDM-machinability of aluminium foam

Joyjeet Ghose ; Dept. of Production Engineering, Birla Institute of Technology, Mesra, Ranchi, India, 835215
Vinay Sharma orcid.org/0000-0002-8507-7298 ; Dept. of Production Engineering, Birla Institute of Technology, Mesra, Ranchi, India, 835215
Nitin Kumar orcid.org/0000-0002-3252-3266 ; Powertrain Development and Testing, Research and Development Wing, Maruti Suzuki India Ltd., Gurgaon, India
Ajay Krishnamurthy ; Mechanical Engineering Department, Rensselaer Polytechnic Institute, 110th, 8th Street, Troy, New York – 12180, USA
Surender Kumar ; Department of Mechanical Engineering, G. L. A. Institute of Technology & Management, Mathura, U. P., India, 281406
Zlatko Botak orcid.org/0000-0002-5590-0917 ; Veleučilište u Varaždinu, J. Križanića 33/6, 42000 Varaždin, Croatia

Abstract

Conventional machining of aluminium foams is a difficult task because of the fact that their cells and cell edges are damaged and/or collapsed during the machining processes and thereby their original properties deteriorated. This problem can be overcome to a certain extent by machining this material by Electro Discharge Machining (EDM) process. The present paper deals with identifying the various control parameters responsible for effective machining of aluminium foam. Taguchi-Fuzzy Logic based technique is used for parameter design of performance characteristics to determine optimal machining parameters for maximum Material Removal Rate (MRR) and minimum Tool Wear Rate (TWR) in EDM. Taguchi-fuzzy based mapping of MRR and TWR with productivity revealed that in order to achieve higher productivity while machining aluminium foam, the two parameters, pulse current and pulse-On time are required to be set high in combination with the low setting of duty cycle.

Keywords

aluminium foam; machinability; EDM; Taguchi technique; fuzzy logic; TWR; MRR; productivity

Hrčak ID:

75409

URI

https://hrcak.srce.hr/75409

Publication date:

27.12.2011.

Article data in other languages: croatian

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