Optimization of Cutter Geometric Parameters in End Milling of Titanium Alloy Using the Grey-Taguchi Method

Further progress in control of manufacturing process and performance depends on the innovativeness of machine tools after cutting parameter optimization. This paper presents a multiobjective optimization of cutter geometric parameters in end milling of Ti-5Al-5Mo-5V-1Cr-1Fe titanium alloy via Taguch...

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Main Authors: Junxue Ren, Jinhua Zhou, Jianwei Wei
Format: Article
Language:English
Published: SAGE Publishing 2015-02-01
Series:Advances in Mechanical Engineering
Online Access:https://doi.org/10.1155/2014/721093
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spelling doaj-f0e1fc2394a54f23b68a6fbad5c177832020-11-25T03:44:31ZengSAGE PublishingAdvances in Mechanical Engineering1687-81322015-02-01710.1155/2014/72109310.1155_2014/721093Optimization of Cutter Geometric Parameters in End Milling of Titanium Alloy Using the Grey-Taguchi MethodJunxue Ren0Jinhua Zhou1Jianwei Wei2 The Key Laboratory of Contemporary Design and Integrated Manufacturing Technology, Ministry of Education, Northwestern Polytechnical University, P.O. Box 552, Xi'an 710072, China School of Mechanical Engineering, Northwestern Polytechnical University, Xi'an 710072, China China Gas Turbine Establishment, Chengdu 621703, ChinaFurther progress in control of manufacturing process and performance depends on the innovativeness of machine tools after cutting parameter optimization. This paper presents a multiobjective optimization of cutter geometric parameters in end milling of Ti-5Al-5Mo-5V-1Cr-1Fe titanium alloy via Taguchi method in integration with grey relational analysis. Sixteen experiments are conducted by the Taguchi method and analyzed based on the signal-to-noise ratio. Then, the multiple objectives optimization is successfully converted to a single objective optimization of the grey relational grade by the grey relational analysis. The cutter geometric parameters, namely, fluting rake angle, gash angle, helix angle, gash rake angle, and pitch angle difference, are optimized to minimize cutting force, surface roughness, and the acceleration. According to the results of Analysis of variance, the order of importance for the control factors to the multiperformance characteristics, in sequence, is helix angle, gash angle, gash rake angle, pitch angle difference, and fluting rake angle. Experimental results indicate that the multiperformance characteristics can be improved effectively with the grey-Taguchi method.https://doi.org/10.1155/2014/721093
collection DOAJ
language English
format Article
sources DOAJ
author Junxue Ren
Jinhua Zhou
Jianwei Wei
spellingShingle Junxue Ren
Jinhua Zhou
Jianwei Wei
Optimization of Cutter Geometric Parameters in End Milling of Titanium Alloy Using the Grey-Taguchi Method
Advances in Mechanical Engineering
author_facet Junxue Ren
Jinhua Zhou
Jianwei Wei
author_sort Junxue Ren
title Optimization of Cutter Geometric Parameters in End Milling of Titanium Alloy Using the Grey-Taguchi Method
title_short Optimization of Cutter Geometric Parameters in End Milling of Titanium Alloy Using the Grey-Taguchi Method
title_full Optimization of Cutter Geometric Parameters in End Milling of Titanium Alloy Using the Grey-Taguchi Method
title_fullStr Optimization of Cutter Geometric Parameters in End Milling of Titanium Alloy Using the Grey-Taguchi Method
title_full_unstemmed Optimization of Cutter Geometric Parameters in End Milling of Titanium Alloy Using the Grey-Taguchi Method
title_sort optimization of cutter geometric parameters in end milling of titanium alloy using the grey-taguchi method
publisher SAGE Publishing
series Advances in Mechanical Engineering
issn 1687-8132
publishDate 2015-02-01
description Further progress in control of manufacturing process and performance depends on the innovativeness of machine tools after cutting parameter optimization. This paper presents a multiobjective optimization of cutter geometric parameters in end milling of Ti-5Al-5Mo-5V-1Cr-1Fe titanium alloy via Taguchi method in integration with grey relational analysis. Sixteen experiments are conducted by the Taguchi method and analyzed based on the signal-to-noise ratio. Then, the multiple objectives optimization is successfully converted to a single objective optimization of the grey relational grade by the grey relational analysis. The cutter geometric parameters, namely, fluting rake angle, gash angle, helix angle, gash rake angle, and pitch angle difference, are optimized to minimize cutting force, surface roughness, and the acceleration. According to the results of Analysis of variance, the order of importance for the control factors to the multiperformance characteristics, in sequence, is helix angle, gash angle, gash rake angle, pitch angle difference, and fluting rake angle. Experimental results indicate that the multiperformance characteristics can be improved effectively with the grey-Taguchi method.
url https://doi.org/10.1155/2014/721093
work_keys_str_mv AT junxueren optimizationofcuttergeometricparametersinendmillingoftitaniumalloyusingthegreytaguchimethod
AT jinhuazhou optimizationofcuttergeometricparametersinendmillingoftitaniumalloyusingthegreytaguchimethod
AT jianweiwei optimizationofcuttergeometricparametersinendmillingoftitaniumalloyusingthegreytaguchimethod
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