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Comparative analysis for the prediction of WEDM responses for machining spark plasma sintered boron carbide ceramic sample by RSM and ANFIS

IR@CGCRI: CSIR-Central Glass and Ceramic Research Institute, Kolkata

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Title Comparative analysis for the prediction of WEDM responses for machining spark plasma sintered boron carbide ceramic sample by RSM and ANFIS
 
Creator Pramanick, Ayan
Mandal, Saikat
Dey, Partha Pratim
Das, Probal Kr
 
Subject Engineering Materials
 
Description Unconventional wire electrical discharge machining (WEDM) process is successfully used to cut different metals, alloys, composites and recent addition is engineered ceramics which possess sufficient electrical conductivity. Boron carbide is one of the hardest ceramic materials that unable to be processed with conventional machine tools and can be machined by WEDM compulsorily with proper selection of machine parameters. This study is based on boron carbide samples which were prepared using spark plasma sintering (SPS) furnace and machined with WEDM. Five machining parameters were analyzed such as pulse on time, pulse off time, peak current, water pressure and servo feed rate. Surface roughness (R-a) and machining speed were considered as output parameters and design of experiment was derived using central composite design (CCD) of response surface method (RSM) with 32 numbers of different test runs. Adaptive neuro-fuzzy inference system (ANFIS) was used with a new set of 16 numbers of experiments to predict results and seen to be more reliable than predicted results of response surface method. (C) 2019 Elsevier Ltd. All rights reserved.
 
Publisher Elsevier
 
Date 2021
 
Type Article
PeerReviewed
 
Format application/pdf
 
Identifier http://cgcri.csircentral.net/5201/1/atin.pdf
Pramanick, Ayan and Mandal, Saikat and Dey, Partha Pratim and Das, Probal Kr (2021) Comparative analysis for the prediction of WEDM responses for machining spark plasma sintered boron carbide ceramic sample by RSM and ANFIS. Materials Today-Proceedings, 41 (5). pp. 1030-1095. ISSN 2214-7853
 
Relation http://cgcri.csircentral.net/5201/