Optimization to the parameters of abrasive flow machining by Taguchi method

被引:16
|
作者
Butola, Ravi [1 ]
Jain, Rishabh [1 ]
Bhangadia, Priyesh [1 ]
Bandhu, Ashwani [1 ]
Walia, R. S. [1 ]
Murtaza, Qasim [2 ]
机构
[1] Delhi Technol Univ, Dept Mech Engn, New Delhi 110042, India
[2] Aligarh Muslim Univ, Dept Mech Engn, Aligarh 202002, Uttar Pradesh, India
关键词
Extrusion pressure; Abrasive; Optimization; NEURAL-NETWORK;
D O I
10.1016/j.matpr.2017.12.044
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
This project summarizes the study of the parameters (Number of process cycles, Extrusion pressure and Abrasive concentration) and experimented variation used in Abrasive flow machining (AFM) for the surface finishing process and its optimization using Taguchi method. Abrasive flow machining (AFM) process is a most suitable non-conventional finishing process of internal passages of IC engine vehicles. Workpiece were machined by making all possible arrangements of these parameters on 3 levels which resulted into total of 27 workpiece which were machined to find the optimum value of parameters. Finally the results were verified using Taguchi method to find the optimum value of parameters. It has been found through the experiment that the optimum result is obtained when 'Number of cycles is equal to 6, Extrusion pressure is 15 bars and Abrasive concentration is 100gm', which shows that the percentage difference in surface roughness after machining is 26.42%. The result obtained shows that Taguchi designs recognize that not all the factors that causes variability can be controlled. These non-controllable factors are called noise factors. Taguchi designs try to identify controllable factors that can minimize the effects of noise factors. (C) 2017 Elsevier Ltd. All rights reserved.
引用
收藏
页码:4720 / 4729
页数:10
相关论文
共 50 条
  • [1] Study of Abrasive Flow Machining Parameter Optimization Based on Taguchi Method
    Li, Junye
    Liu, Weina
    Yang, Lifeng
    Sun, Fengyu
    JOURNAL OF COMPUTATIONAL AND THEORETICAL NANOSCIENCE, 2013, 10 (12) : 2949 - 2954
  • [2] Parametric optimization of magnetic-field-assisted abrasive flow machining by the Taguchi method
    Singh, S
    Shan, HS
    Kumar, P
    QUALITY AND RELIABILITY ENGINEERING INTERNATIONAL, 2002, 18 (04) : 273 - 283
  • [3] Parametric optimization of centrifugal force-assisted abrasive flow machining (CFAAFM) by the Taguchi method
    Walia, R. S.
    Shan, H. S.
    Kumar, Pradeep
    MATERIALS AND MANUFACTURING PROCESSES, 2006, 21 (04) : 375 - 382
  • [4] Optimization of process parameters in abrasive flow machining of SS 304L using Taguchi method and grey relation analysis
    G Krishna, Gautam
    N, Dr. Jinesh
    Materials Today: Proceedings, 2022, 58 : 335 - 338
  • [5] Optimization of process parameters in abrasive flow machining of SS 304L using Taguchi method and grey relation analysis
    Krishna, Gautam G.
    Jinesh, N.
    MATERIALS TODAY-PROCEEDINGS, 2022, 58 : 335 - 338
  • [6] Optimization of Abrasive Water Jet Machining Parameters for α-β brass using Taguchi Methodology
    Marichamy, S.
    Ravichandran, M.
    Stalin, B.
    Babu, B. Sridhar
    FME TRANSACTIONS, 2019, 47 (01): : 116 - 121
  • [7] Parameters Optimization for Sustainable Machining by using Taguchi Method
    Singh, Karmjit
    Sultan, Ibrahim
    MATERIALS TODAY-PROCEEDINGS, 2019, 18 : 4217 - 4226
  • [8] Optimization of Machining Parameters in Steel Turning Operation by Taguchi Method
    Abhang, L. B.
    Hameedullah, M.
    INTERNATIONAL CONFERENCE ON MODELLING OPTIMIZATION AND COMPUTING, 2012, 38 : 40 - 48
  • [9] Abrasive water jet machining of CFRPs: single response optimization using taguchi method optimization
    Edriys, I. I.
    Fattouh, M.
    Masoud, R.
    19TH INTERNATIONAL CONFERENCE ON APPLIED MECHANICS AND MECHANICAL ENGINEERING (AMME-19), 2020, 973
  • [10] Quality optimization of surfaces produced by magnetic abrasive flow machining using Taguchi technique
    Singh, S
    Shan, HS
    Kumar, P
    EIGHTH ISSAT INTERNATIONAL CONFERENCE ON RELIABILITY AND QUALITY IN DESIGN, PROCEEDINGS, 2003, : 351 - 355