Optimization of process parameters in CNC milling of P20 steel by cryo-treated tungsten carbide tools using NSGA-II
This article proposes an extensive experimental and microstructural analysis to study the consequences of deep cryogenic treatment (DCT) soaking duration on tungsten carbide end mill cutter on the machinability of P20 mold steel. A Box-Behnken design of response surface methodology (RSM) is utilized...
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doaj-83997f3679804621957668c060c6d4ce2021-02-18T11:28:36ZengTaylor & Francis GroupProduction and Manufacturing Research: An Open Access Journal2169-32772020-01-018129131210.1080/21693277.2020.17904361790436Optimization of process parameters in CNC milling of P20 steel by cryo-treated tungsten carbide tools using NSGA-IIVishnu Vardhan Mukkoti0Chinmaya Prasad Mohanty1Sankaraiah Gandla2Pallab Sarkar3Srinivasa Rao P4Dhanraj B5Department of Mechanical Engineering, Vardhaman College of Engineering, Shamshabad, Hyderabad, IndiaVellore Institute of TechnologyG Pulla Reddy Engineering CollegeDepartment of Mechanical Engineering, Vardhaman College of Engineering, Shamshabad, Hyderabad, IndiaDepartment of Mechanical Engineering, Vardhaman College of Engineering, Shamshabad, Hyderabad, IndiaDepartment of Mechanical Engineering, Vardhaman College of Engineering, Shamshabad, Hyderabad, IndiaThis article proposes an extensive experimental and microstructural analysis to study the consequences of deep cryogenic treatment (DCT) soaking duration on tungsten carbide end mill cutter on the machinability of P20 mold steel. A Box-Behnken design of response surface methodology (RSM) is utilized to collect data for the study. Cutting speed, feed rate, depth of cut and milling cutters subjected to various soaking durations are taken as important process variables which are a function of performance measures viz. tool wear rate (TWR), material removal rate (MRR) and surface roughness (Ra). It is observed that cutting speed, feed, depth of cut and cryogenic treatment exhibit a considerable effect on performance measures. In the present study, NSGA-II multi-objective optimization technique is used to obtain the optimal process parameters of end milling process to enhance the productivity of the process. For this purpose, the developed RSM model is coupled with NSGA-II in MATLAB.http://dx.doi.org/10.1080/21693277.2020.1790436deep cryogenic treatmentsoaking durationnsga-iiregression analysismicrostructural analysisp20 steel |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Vishnu Vardhan Mukkoti Chinmaya Prasad Mohanty Sankaraiah Gandla Pallab Sarkar Srinivasa Rao P Dhanraj B |
spellingShingle |
Vishnu Vardhan Mukkoti Chinmaya Prasad Mohanty Sankaraiah Gandla Pallab Sarkar Srinivasa Rao P Dhanraj B Optimization of process parameters in CNC milling of P20 steel by cryo-treated tungsten carbide tools using NSGA-II Production and Manufacturing Research: An Open Access Journal deep cryogenic treatment soaking duration nsga-ii regression analysis microstructural analysis p20 steel |
author_facet |
Vishnu Vardhan Mukkoti Chinmaya Prasad Mohanty Sankaraiah Gandla Pallab Sarkar Srinivasa Rao P Dhanraj B |
author_sort |
Vishnu Vardhan Mukkoti |
title |
Optimization of process parameters in CNC milling of P20 steel by cryo-treated tungsten carbide tools using NSGA-II |
title_short |
Optimization of process parameters in CNC milling of P20 steel by cryo-treated tungsten carbide tools using NSGA-II |
title_full |
Optimization of process parameters in CNC milling of P20 steel by cryo-treated tungsten carbide tools using NSGA-II |
title_fullStr |
Optimization of process parameters in CNC milling of P20 steel by cryo-treated tungsten carbide tools using NSGA-II |
title_full_unstemmed |
Optimization of process parameters in CNC milling of P20 steel by cryo-treated tungsten carbide tools using NSGA-II |
title_sort |
optimization of process parameters in cnc milling of p20 steel by cryo-treated tungsten carbide tools using nsga-ii |
publisher |
Taylor & Francis Group |
series |
Production and Manufacturing Research: An Open Access Journal |
issn |
2169-3277 |
publishDate |
2020-01-01 |
description |
This article proposes an extensive experimental and microstructural analysis to study the consequences of deep cryogenic treatment (DCT) soaking duration on tungsten carbide end mill cutter on the machinability of P20 mold steel. A Box-Behnken design of response surface methodology (RSM) is utilized to collect data for the study. Cutting speed, feed rate, depth of cut and milling cutters subjected to various soaking durations are taken as important process variables which are a function of performance measures viz. tool wear rate (TWR), material removal rate (MRR) and surface roughness (Ra). It is observed that cutting speed, feed, depth of cut and cryogenic treatment exhibit a considerable effect on performance measures. In the present study, NSGA-II multi-objective optimization technique is used to obtain the optimal process parameters of end milling process to enhance the productivity of the process. For this purpose, the developed RSM model is coupled with NSGA-II in MATLAB. |
topic |
deep cryogenic treatment soaking duration nsga-ii regression analysis microstructural analysis p20 steel |
url |
http://dx.doi.org/10.1080/21693277.2020.1790436 |
work_keys_str_mv |
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