Optimization of process parameters for surface roughness and tool wear in milling TC17 alloy using Taguchi with grey relational analysis

Optimization of process parameters for surface roughness and tool wear in milling TC17 alloy using Taguchi with grey relational analysis

To improve machining quality and processing efficiency, the Taguchi analysis method is employed to design the milling tests of titanium alloy TC17. According to results based on the signal-to-noise ratio method, the cutting depth plays a critical role in improving the surface roughness and tool wear...

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Bibliographic Details
Main Authors: Zhe Wang, Lei Li
Format: Article
Language:English
Published: SAGE Publishing 2021-02-01
Series:Advances in Mechanical Engineering
Online Access:https://doi.org/10.1177/1687814021996530
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spelling doaj-6fe5049942584fe9824cc5b3608ab6782021-02-28T09:34:00ZengSAGE PublishingAdvances in Mechanical Engineering1687-81402021-02-011310.1177/1687814021996530Optimization of process parameters for surface roughness and tool wear in milling TC17 alloy using Taguchi with grey relational analysisZhe Wang0Lei Li1Xi’an Aeronautical Polytechnic Institute, Xi’an, P.R. ChinaState-owned Sida Machinery Manufacturing Company, Xianyang, P.R. ChinaTo improve machining quality and processing efficiency, the Taguchi analysis method is employed to design the milling tests of titanium alloy TC17. According to results based on the signal-to-noise ratio method, the cutting depth plays a critical role in improving the surface roughness and tool wear. The grey correlation analysis is a multi-objective optimization method that can help to acquire process parameters combination of the optimal surface roughness and the optimal tool wear. Finally, the correctness of multi-objective optimization results is verified through comparison experiments. The research results can provide process guidance and data reference for the actual production processing.https://doi.org/10.1177/1687814021996530
collection DOAJ
language English
format Article
sources DOAJ
author Zhe Wang
Lei Li
spellingShingle Zhe Wang
Lei Li
Optimization of process parameters for surface roughness and tool wear in milling TC17 alloy using Taguchi with grey relational analysis
Advances in Mechanical Engineering
author_facet Zhe Wang
Lei Li
author_sort Zhe Wang
title Optimization of process parameters for surface roughness and tool wear in milling TC17 alloy using Taguchi with grey relational analysis
title_short Optimization of process parameters for surface roughness and tool wear in milling TC17 alloy using Taguchi with grey relational analysis
title_full Optimization of process parameters for surface roughness and tool wear in milling TC17 alloy using Taguchi with grey relational analysis
title_fullStr Optimization of process parameters for surface roughness and tool wear in milling TC17 alloy using Taguchi with grey relational analysis
title_full_unstemmed Optimization of process parameters for surface roughness and tool wear in milling TC17 alloy using Taguchi with grey relational analysis
title_sort optimization of process parameters for surface roughness and tool wear in milling tc17 alloy using taguchi with grey relational analysis
publisher SAGE Publishing
series Advances in Mechanical Engineering
issn 1687-8140
publishDate 2021-02-01
description To improve machining quality and processing efficiency, the Taguchi analysis method is employed to design the milling tests of titanium alloy TC17. According to results based on the signal-to-noise ratio method, the cutting depth plays a critical role in improving the surface roughness and tool wear. The grey correlation analysis is a multi-objective optimization method that can help to acquire process parameters combination of the optimal surface roughness and the optimal tool wear. Finally, the correctness of multi-objective optimization results is verified through comparison experiments. The research results can provide process guidance and data reference for the actual production processing.
url https://doi.org/10.1177/1687814021996530
work_keys_str_mv AT zhewang optimizationofprocessparametersforsurfaceroughnessandtoolwearinmillingtc17alloyusingtaguchiwithgreyrelationalanalysis
AT leili optimizationofprocessparametersforsurfaceroughnessandtoolwearinmillingtc17alloyusingtaguchiwithgreyrelationalanalysis
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