Optimization of tool wear parameters in machining AA7075/SiC composite

Thirty experiments were planned as per face centred central composite design. Turning of AA7075–10 wt.% silicon carbide (SiC) (particle size 20–40 µm) composites was carried out using tungsten carbide inserts. Flank wear and crater wear were measured by scanning electron microscope (SEM). Experiment...

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Main Author: Rajesh Kumar Bhushan
Format: Article
Language:English
Published: Elsevier 2020-10-01
Series:Composites Part C: Open Access
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2666682020300359
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author Rajesh Kumar Bhushan
author_facet Rajesh Kumar Bhushan
author_sort Rajesh Kumar Bhushan
collection DOAJ
description Thirty experiments were planned as per face centred central composite design. Turning of AA7075–10 wt.% silicon carbide (SiC) (particle size 20–40 µm) composites was carried out using tungsten carbide inserts. Flank wear and crater wear were measured by scanning electron microscope (SEM). Experimental data was used to develop regression model. Desirability approach was utilized to get optimum values of process parameters so that values of flank wear and crater wear are minimum. GA technique had given the very close values of minimum flank wear as compared to value obtained by experimental, regression modelling and desirability analysis by 20%, 4.25% and 3.7% respectively. Minimum crater wear value obtained by GA technique are about 47%, 29.44% and 46% less than the value obtained by experiment, regression modelling and desirability analysis. Hence, it can be said that if turning of AA7075–10 wt.% SiC (20–40 µm) composites is done at optimum values of parameters obtained by GA, it will result in minimum flank and crater wear. Novelty of this research work is that 03 different techniques were used to obtain optimum process parameters, so that tool wear during turning of AA7075/SiC will be minimum. Turning at optimum parameters obtained by GA, resulted in minimum flank and crater wear. AA7075/SiC, composite has applications in automobiles, marines, aeroplanes and space vehicles.
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spelling doaj.art-932b7ccf819d4833ad7448e3d47e31612022-12-21T18:28:24ZengElsevierComposites Part C: Open Access2666-68202020-10-012100035Optimization of tool wear parameters in machining AA7075/SiC compositeRajesh Kumar Bhushan0Department of Mechanical Engineering, National Institute of Technology, Manipur, IndiaThirty experiments were planned as per face centred central composite design. Turning of AA7075–10 wt.% silicon carbide (SiC) (particle size 20–40 µm) composites was carried out using tungsten carbide inserts. Flank wear and crater wear were measured by scanning electron microscope (SEM). Experimental data was used to develop regression model. Desirability approach was utilized to get optimum values of process parameters so that values of flank wear and crater wear are minimum. GA technique had given the very close values of minimum flank wear as compared to value obtained by experimental, regression modelling and desirability analysis by 20%, 4.25% and 3.7% respectively. Minimum crater wear value obtained by GA technique are about 47%, 29.44% and 46% less than the value obtained by experiment, regression modelling and desirability analysis. Hence, it can be said that if turning of AA7075–10 wt.% SiC (20–40 µm) composites is done at optimum values of parameters obtained by GA, it will result in minimum flank and crater wear. Novelty of this research work is that 03 different techniques were used to obtain optimum process parameters, so that tool wear during turning of AA7075/SiC will be minimum. Turning at optimum parameters obtained by GA, resulted in minimum flank and crater wear. AA7075/SiC, composite has applications in automobiles, marines, aeroplanes and space vehicles.http://www.sciencedirect.com/science/article/pii/S26666820203003597075Al alloy/SiC compositesMachinabilityRegression modellingResponse surface methodologyDesirability analysisFlank wear
spellingShingle Rajesh Kumar Bhushan
Optimization of tool wear parameters in machining AA7075/SiC composite
Composites Part C: Open Access
7075Al alloy/SiC composites
Machinability
Regression modelling
Response surface methodology
Desirability analysis
Flank wear
title Optimization of tool wear parameters in machining AA7075/SiC composite
title_full Optimization of tool wear parameters in machining AA7075/SiC composite
title_fullStr Optimization of tool wear parameters in machining AA7075/SiC composite
title_full_unstemmed Optimization of tool wear parameters in machining AA7075/SiC composite
title_short Optimization of tool wear parameters in machining AA7075/SiC composite
title_sort optimization of tool wear parameters in machining aa7075 sic composite
topic 7075Al alloy/SiC composites
Machinability
Regression modelling
Response surface methodology
Desirability analysis
Flank wear
url http://www.sciencedirect.com/science/article/pii/S2666682020300359
work_keys_str_mv AT rajeshkumarbhushan optimizationoftoolwearparametersinmachiningaa7075siccomposite