Multi-response optimization of CFAAFM process through Taguchi method and utility concept

被引:45
|
作者
Walia, R. S. [1 ]
Shan, H. S. [1 ]
Kumar, P. [1 ]
机构
[1] Indian Inst Technol, Dept Mech & Ind Engn, Roorkee 247667, Uttar Pradesh, India
关键词
CFAAFM; CFG rod; material removal; multi-response optimization; SSR; surface roughness; Taguchi approach; utility concept;
D O I
10.1080/10426910600837814
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Centrifugal force assisted abrasive flow machining (CFAAFM) process has recently been tried as a hybrid machining process with the aim towards the performance improvement of AFM process by applying centrifugal force on the abrasive laden media with a rotating centrifugal force generating (CFG) rod introduced in the work piece passage. For optimization of process parameters, an approach based on a Utility theory and Taguchi quality loss function (TQLF) has been applied to CFAAFM for simultaneous optimization of more than one response characteristics. Three potential response parameters i.e., material removal, % improvement of surface finish and scatter of surface roughness over the fine finished surface of a sleeve type work piece of brass are examined. Utility values based upon these response parameters have been analyzed for optimization by using Taguchi approach.
引用
下载
收藏
页码:907 / 914
页数:8
相关论文
共 50 条
  • [41] Exploration of MOORA Based Hybrid Taguchi Method for Multi-response Optimization-A Case Study
    Verma, Rajesh Kumar
    Kharwar, Prakhar Kumar
    Mondal, Arpan Kumar
    Abhishek, Kumar
    Kumar, Jogendra
    ADVANCES IN MECHANICAL ENGINEERING, ICRIDME 2018, 2020, : 515 - 525
  • [42] Utility Theory for Evaluation of Optimal Process Condition of Saw:A Multi-Response Optimization Approach
    Datta, Saurav
    Biswas, Ajay
    Bhaumik, Swapan
    Majumdar, Gautam
    INTERNATIONAL CONFERENCE ON ADVANCES IN MATERIALS AND PROCESSING TECHNOLOGIES, PTS ONE AND TWO, 2010, 1315 : 902 - +
  • [43] Multi-Response Optimization of Carbidic Austempered Ductile Iron Production Parameters using Taguchi Method
    Dhanapal P.
    Mohamed Nazirudeen S.S.
    Chandrasekar A.
    Journal of The Institution of Engineers (India): Series D, 2012, 93 (1) : 23 - 29
  • [44] Grey based Taguchi method for multi-response optimization of FSW of aluminium AA 6061 alloy
    Ravindrannair, Pranav
    Equbal, Azhar
    Equbal, Md. Asif
    Saxena, Kuldeep K.
    Equbal, Md. Israr
    INTERNATIONAL JOURNAL OF INTERACTIVE DESIGN AND MANUFACTURING - IJIDEM, 2024, 18 (03): : 1279 - 1290
  • [45] Using DEA's multi-choice method to reach multi-response optimization in Taguchi's problem
    Liao, Hung-Chang
    Chang, Hsu-Hwa
    JOURNAL OF INFORMATION & OPTIMIZATION SCIENCES, 2009, 30 (05): : 969 - 993
  • [46] A PDCA Framework towards a Multi-Response Optimization of Process Parameters Based on Taguchi-Fuzzy Model
    Tanash, Moayad
    Al Athamneh, Raed
    Hani, Dania Bani
    Rababah, Mumen
    Albataineh, Zaid
    PROCESSES, 2022, 10 (09)
  • [47] Solving the multi-response problem in Taguchi method by benevolent formulation in DEA
    Al-Refaie, Abbas
    Al-Tahat, Mohammad D.
    JOURNAL OF INTELLIGENT MANUFACTURING, 2011, 22 (04) : 505 - 521
  • [48] Solving the multi-response problem in Taguchi method by benevolent formulation in DEA
    Abbas Al-Refaie
    Mohammad D. Al-Tahat
    Journal of Intelligent Manufacturing, 2011, 22 : 505 - 521
  • [49] Parameter optimization for finishing hard materials with magnetorheological fluid using the penalized multi-response Taguchi method
    Jung, B.
    Jang, K-I
    Min, B-K
    Lee, S. J.
    Seok, J.
    PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART B-JOURNAL OF ENGINEERING MANUFACTURE, 2009, 223 (08) : 955 - 968
  • [50] Multi-response optimization in friction properties of PBT composites using Taguchi method and principle component analysis
    Fung, CP
    Kang, PC
    JOURNAL OF MATERIALS PROCESSING TECHNOLOGY, 2005, 170 (03) : 602 - 610