Application of Taguchi- Grey Method to optimize turning operations on EN24 with multiple performance characteristics

被引:2
|
作者
Karthikeyan, R. [1 ]
Satyanarayana, Kosaraju [1 ]
Kumar, Pujari Anil [2 ]
机构
[1] Gokaraju Rangaraju Inst Engn & Technol, Dept Mech Engn, Hyderabad, Telangana, India
[2] Invil Software Pvt Ltd, Hyderabad, Telangana, India
关键词
Surface roughness; Cutting force; and EN24 alloy steels; RELATIONAL ANALYSIS; MULTIRESPONSE OPTIMIZATION; PARAMETERS; ENGINE; ALLOY;
D O I
10.1016/j.matpr.2018.06.126
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Turning is the process of removing the excess material or unwanted material from the work piece using cutting tool. Surface roughness is an index which determines the quality of machined products and is influenced by the cutting parameters and it is indirectly dictated by cutting force generated during operation. The number of turning experiments was conducted on EN24 as suggested by Taguchi's L9 orthogonal array for three factors and three levels. The objective of this work is to optimize the process parameters such as cutting speed, feed and depth of cut to achieve minimum surface roughness and minimum cutting force individually and combinedly by using Taguchi - Grey analysis. From this investigation, it was found that the combined minimum surface roughness and cutting force could be attained under the conditions of 900 rpm of spindle speed, 0.2 mm/rev of feed and 0.25 mm of depth of cut. (C) 2018 Elsevier Ltd. All rights reserved.
引用
下载
收藏
页码:17958 / 17967
页数:10
相关论文
共 50 条
  • [1] Use of the Taguchi method and grey relational analysis to optimize turning operations with multiple performance characteristics
    Lin, CL
    MATERIALS AND MANUFACTURING PROCESSES, 2004, 19 (02) : 209 - 220
  • [2] High speed turning of EN24 steel - a Taguchi based grey relational approach
    Das, Diptikanta
    Mukherjee, Sagnik
    Dutt, Saurav
    Nayak, Bijaya Bijeta
    Sahoo, Ashok Kumar
    MATERIALS TODAY-PROCEEDINGS, 2018, 5 (02) : 4097 - 4105
  • [3] Optimization of turning operations with multiple performance characteristics using the Taguchi method and Grey relational analysis
    Tzeng, Chorng-Jyh
    Lin, Yu-Hsin
    Yang, Yung-Kuang
    Jeng, Ming-Chang
    JOURNAL OF MATERIALS PROCESSING TECHNOLOGY, 2009, 209 (06) : 2753 - 2759
  • [4] Surface Roughness Optimization of EN24 Steel in CNC Turning using Taguchi Method
    Vignesh S.H.
    International Journal of Vehicle Structures and Systems, 2023, 15 (05) : 631 - 635
  • [5] A hybrid Taguchi based grey relational analysis of hard turning of subzero treated EN24 alloy steel
    Karthikeyan, K. M. B.
    Yuvaraj, C.
    Balasubramanian, T.
    MATERIALS TODAY-PROCEEDINGS, 2021, 46 : 3275 - 3281
  • [6] An application of hybrid Taguchi-ANN to predict tool wear for turning EN24 material
    Kamble, Prashant D.
    Giri, Jayant
    Makki, Emad
    Sunheriya, Neeraj
    Sahare, Shilpa B.
    Chadge, Rajkumar
    Mahatme, Chetan
    Giri, Pallavi
    T., Sathish
    Panchal, Hitesh
    AIP ADVANCES, 2024, 14 (01)
  • [7] Application of Taguchi-Grey Method to Optimize Drilling of EMS 45 Steel using Minimum Quantity Lubrication (MQL) with Multiple Performance Characteristics
    Soepangkat, Bobby O. P.
    Suhardjono
    Pramujati, Bambang
    GREEN PROCESS, MATERIAL, AND ENERGY: A SUSTAINABLE SOLUTION FOR CLIMATE CHANGE, 2017, 1855
  • [8] Application of Grey-Taguchi method to optimise drilling of aluminium alloy 6061 with multiple performance characteristics
    Huang, MF
    Lin, TR
    MATERIALS SCIENCE AND TECHNOLOGY, 2004, 20 (04) : 528 - 532
  • [9] Response Surface Modeling and Grey Relational Analysis to Optimize Turning Parameters with Multiple Performance Characteristics
    Abhang, L. B.
    Hameedullah, M.
    INTERNATIONAL JOURNAL OF MANUFACTURING MATERIALS AND MECHANICAL ENGINEERING, 2012, 2 (02) : 12 - 45
  • [10] The use of the Taguchi-Grey based to optimize high speed end milling with multiple performance characteristics
    Hwang, SJ
    Hwang, YL
    Lee, BY
    PROGRESS ON ADVANCED MANUFACTURE FOR MICRO/NANO TECHNOLOGY 2005, PT 1 AND 2, 2006, 505-507 : 835 - 840