Optimization of cutting fluids and cutting parameters during end milling by using D-optimal design of experiments

被引:179
|
作者
Kuram, Emel [1 ]
Ozcelik, Babur [1 ]
Bayramoglu, Mahmut [2 ]
Demirbas, Erhan [3 ]
Simsek, Bilgin Tolga [1 ]
机构
[1] Gebze Inst Technol, Dept Mech Engn, TR-41400 Gebze, Turkey
[2] Gebze Inst Technol, Dept Chem Engn, TR-41400 Gebze, Turkey
[3] Gebze Inst Technol, Dept Chem, TR-41400 Gebze, Turkey
关键词
Milling; Optimization; Cutting fluids; D-optimal; Specific energy; Surface roughness; Tool life; AUSTENITIC STAINLESS-STEEL; SURFACE-ROUGHNESS; VEGETABLE-OILS; PERFORMANCE; TECHNOLOGY; OPERATIONS; ALGORITHM; DRY;
D O I
10.1016/j.jclepro.2012.11.003
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The use of synthetic cutting fluids is nowadays limited due to the adverse effects such as health of the operator, environmental and economic reasons. In order to diminish these negative effects, bio-based cutting fluids are used. Bio-based or vegetable based cutting fluid is considered environmentally friendly and sustainable. Vegetable based cutting fluids have some characteristics such as biodegradability, less toxicity and renewability. This study deals with the assessment of vegetable based cutting fluids for end milling. For this purpose, effects of cutting fluid types are investigated as a function of three milling factors (cutting speed, depth of cut and feed rate) on process responses (specific energy, tool life and surface roughness). D-optimal method is conducted to develop mathematical models for process responses. Variance analysis shows that specific energy, surface roughness and tool life can be predicted effectively with quadratic models. Furthermore, mono and multi objective optimization studies are conducted using specific energy, surface roughness and tool life as primary or secondary objectives. From results of the optimization, various conclusions are drawn about effects of the milling parameters and the cutting fluid types on the milling performance criteria. The most appropriate cutting fluid during milling of AISI 304 material is selected in accordance with energy, tool life and surface roughness. (C) 2012 Elsevier Ltd. All rights reserved.
引用
收藏
页码:159 / 166
页数:8
相关论文
共 50 条
  • [1] Optimization of Cutting parameters of CNC Milling for Aircraft Components Using Design of Experiments
    Nithyanandam, Ganesh Kumar
    Senthamizh, Selvamaan
    Selvaraj, P.
    Pezhinkattil, Radhakrishnan
    [J]. ADVANCED MATERIALS, MECHANICS AND INDUSTRIAL ENGINEERING, 2014, 598 : 164 - 168
  • [2] Optimization of the Cutting Fluids and Parameters Using Taguchi and ANOVA in Milling
    Kuram, E.
    Simsek, B. T.
    Ozcelik, B.
    Demirbas, E.
    Askin, S.
    [J]. WORLD CONGRESS ON ENGINEERING, WCE 2010, VOL II, 2010, : 1292 - 1296
  • [3] Optimization of cutting parameters in micro end milling operations in dry cutting condition using genetic algorithms
    Sreeram, Sonti
    Kumar, A. Senthil
    Rahman, M.
    Zaman, M. T.
    [J]. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2006, 30 (11-12): : 1030 - 1039
  • [4] Optimization of cutting parameters in micro end milling operations in dry cutting condition using genetic algorithms
    Sonti Sreeram
    A. Senthil Kumar
    M. Rahman
    M. T. Zaman
    [J]. The International Journal of Advanced Manufacturing Technology, 2006, 30 : 1030 - 1039
  • [5] Cutting parameters optimization for constant cutting force in milling
    Zhao, H.
    Li, J. G.
    Yao, Y. X.
    Liu, C. Q.
    [J]. E-ENGINEERING & DIGITAL ENTERPRISE TECHNOLOGY, 2008, 10-12 : 483 - 487
  • [6] DETERMINATION OF OPTIMAL CUTTING CONDITIONS USING DESIGN OF EXPERIMENTS AND OPTIMIZATION TECHNIQUES
    CHUA, MS
    RAHMAN, M
    WONG, YS
    LOH, HT
    [J]. INTERNATIONAL JOURNAL OF MACHINE TOOLS & MANUFACTURE, 1993, 33 (02): : 297 - 305
  • [7] Modeling the effects of cutting parameters in MQL-employed finish hard-milling process using D-optimal method
    Iqbal, Asif
    Ning, He
    Khan, Iqbal
    Liang, Li
    Dar, Naeem Ullah
    [J]. JOURNAL OF MATERIALS PROCESSING TECHNOLOGY, 2008, 199 (1-3) : 379 - 390
  • [8] Optimization of Cutting Parameters for Cutting Force Minimization in Helical Ball End Milling of Inconel 718 by Using Genetic Algorithm
    Gaikhe, Varsharani
    Sahu, Jambeswar
    Pawade, Raju
    [J]. 8TH CIRP CONFERENCE ON HIGH PERFORMANCE CUTTING (HPC 2018), 2018, 77 : 477 - 480
  • [9] Experimental analysis and optimization of cutting parameters for end milling aluminium alloy
    Ahmad, Nafis
    Wakabayashi, Ryo
    Tomohisa, Tanaka
    Saito, Yoshio
    [J]. TOWARDS SYNTHESIS OF MICRO - /NANO - SYSTEMS, 2007, (05): : 347 - +
  • [10] Optimization of Cutting Parameters Based on Surface Roughness and Cutting Force During End Milling of Nimonic C-263 Alloy
    Reddy, P. Giridhar
    Gowthaman, S.
    Jagadeesha, T.
    [J]. 3RD INTERNATIONAL CONFERENCE ON ADVANCES IN MECHANICAL ENGINEERING (ICAME 2020), PTS 1-6, 2020, 912