Application of TOPSIS for multi response optimization of Process Parameters in dry hard turning of AISI 52100 steel

In the present work by employing the Technique for order of preference by similarity to ideal solution (TOPSIS) machining parameters optimization is performed with polycrystalline cubic boron nitride (PCBN) tools while AISI 52100 steel hard turning (HT). Based on the CCD of RSM, 32 experimental runs...

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Main Authors: P. UMAMAHESWARRAO, D. RANGARAJU, K. N. S. SUMAN, B. RAVISANKAR
Format: Article
Language:English
Published: National Institute for Aerospace Research “Elie Carafoli” - INCAS 2021-03-01
Series:INCAS Bulletin
Subjects:
Online Access:https://bulletin.incas.ro/files/umamaheswarrao__all__vol_13_iss_1.pdf
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spelling doaj-509f5897ca5a45138d64f6dbf3a1b3f52021-03-08T14:00:24ZengNational Institute for Aerospace Research “Elie Carafoli” - INCASINCAS Bulletin2066-82012247-45282021-03-0113121122410.13111/2066-8201.2021.13.1.22Application of TOPSIS for multi response optimization of Process Parameters in dry hard turning of AISI 52100 steelP. UMAMAHESWARRAO0D. RANGARAJU1K. N. S. SUMAN2B. RAVISANKAR3Department of Mechanical Engineering, Bapatla Engineering College, Bapatla, A. P. India, maheshponugoti@gmail.comDepartment of Mechanical Engineering, Srinivasa Institute of Engineering & Technology, Amalapuram, A. P. India, dr.drraju@gmail.comDepartment of Mechanical Engineering, Andhra University College of Engineering, Visakhapatnam, A. P India, sumankoka@yahoo.comDepartment of Mechanical Engineering, Bapatla Engineering College, Bapatla, A. P. India, ravinano@gmail.comIn the present work by employing the Technique for order of preference by similarity to ideal solution (TOPSIS) machining parameters optimization is performed with polycrystalline cubic boron nitride (PCBN) tools while AISI 52100 steel hard turning (HT). Based on the CCD of RSM, 32 experimental runs were performed by varying cutting speed, feed, depth of cut, nose radius, and negative rake angle to identify the optimal level of the process parameters. In this study, the multiple performance characteristics measured are machining force, surface roughness, and workpiece surface temperature. To ascertain the impact of cutting parameters on responses, Analysis of Variance (ANOVA) was deployed. An optimum combination of input process parameters for the multiple performance characteristics should be as follows: speed 200 rpm, feed 0.1 mm/rev, depth of cut 0.8 mm, nose radius 1.2 mm, and negative rake angle 45º leading to the value of optimum response variables machining force 561.163 N, Surface roughness 0.507μm and workpiece surface temperature 84.38°C.https://bulletin.incas.ro/files/umamaheswarrao__all__vol_13_iss_1.pdfmachining forcesurface roughnessworkpiece surface temperaturetopsisoptimizationanova
collection DOAJ
language English
format Article
sources DOAJ
author P. UMAMAHESWARRAO
D. RANGARAJU
K. N. S. SUMAN
B. RAVISANKAR
spellingShingle P. UMAMAHESWARRAO
D. RANGARAJU
K. N. S. SUMAN
B. RAVISANKAR
Application of TOPSIS for multi response optimization of Process Parameters in dry hard turning of AISI 52100 steel
INCAS Bulletin
machining force
surface roughness
workpiece surface temperature
topsis
optimization
anova
author_facet P. UMAMAHESWARRAO
D. RANGARAJU
K. N. S. SUMAN
B. RAVISANKAR
author_sort P. UMAMAHESWARRAO
title Application of TOPSIS for multi response optimization of Process Parameters in dry hard turning of AISI 52100 steel
title_short Application of TOPSIS for multi response optimization of Process Parameters in dry hard turning of AISI 52100 steel
title_full Application of TOPSIS for multi response optimization of Process Parameters in dry hard turning of AISI 52100 steel
title_fullStr Application of TOPSIS for multi response optimization of Process Parameters in dry hard turning of AISI 52100 steel
title_full_unstemmed Application of TOPSIS for multi response optimization of Process Parameters in dry hard turning of AISI 52100 steel
title_sort application of topsis for multi response optimization of process parameters in dry hard turning of aisi 52100 steel
publisher National Institute for Aerospace Research “Elie Carafoli” - INCAS
series INCAS Bulletin
issn 2066-8201
2247-4528
publishDate 2021-03-01
description In the present work by employing the Technique for order of preference by similarity to ideal solution (TOPSIS) machining parameters optimization is performed with polycrystalline cubic boron nitride (PCBN) tools while AISI 52100 steel hard turning (HT). Based on the CCD of RSM, 32 experimental runs were performed by varying cutting speed, feed, depth of cut, nose radius, and negative rake angle to identify the optimal level of the process parameters. In this study, the multiple performance characteristics measured are machining force, surface roughness, and workpiece surface temperature. To ascertain the impact of cutting parameters on responses, Analysis of Variance (ANOVA) was deployed. An optimum combination of input process parameters for the multiple performance characteristics should be as follows: speed 200 rpm, feed 0.1 mm/rev, depth of cut 0.8 mm, nose radius 1.2 mm, and negative rake angle 45º leading to the value of optimum response variables machining force 561.163 N, Surface roughness 0.507μm and workpiece surface temperature 84.38°C.
topic machining force
surface roughness
workpiece surface temperature
topsis
optimization
anova
url https://bulletin.incas.ro/files/umamaheswarrao__all__vol_13_iss_1.pdf
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