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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National Institute for Aerospace Research “Elie Carafoli” - INCAS
2021-03-01
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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 |
work_keys_str_mv |
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