Optimization of Milling Parameters Employing Desirability Functions

被引：0
|
作者：
Ribeiro, J. L. S. [1 ]
Campos Rubio, J. C. [2 ]
Abrao, A. M. [2 ]
机构：
[1] Pontif Catholic Univ Minas, Polytech Inst, Dept Mechatron Engn, Av Dom Jose Gaspar 500, BR-30535610 Belo Horizonte, MG, Brazil
[2] Univ Fed Minas Gerais, Dept Engn Mech, BR-31270901 Belo Horizonte, MG, Brazil
来源：
INTERNATIONAL CONFERENCE ON ADVANCES IN MATERIALS AND PROCESSING TECHNOLOGIES, PTS ONE AND TWO | 2010年 / 1315卷
关键词：
Milling; hardened steel; coated carbide; cermet; optimization; NEURAL-NETWORK; QUALITY;
D O I：
暂无
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
The principal aim of this paper is to investigate the influence of tool material (one cermet and two coated carbide grades), cutting speed and feed rate on the machinability of hardened AISI H13 hot work steel, in order to identify the cutting conditions which lead to optimal performance. A multiple response optimization procedure based on tool life, surface roughness, milling forces and the machining time (required to produce a sample cavity) was employed. The results indicated that the TiCN-TiN coated carbide and cermet presented similar results concerning the global optimum values for cutting speed and feed rate per tooth, outperforming the TiN-TiCN-Al2O3 coated carbide tool.
引用
收藏
页码：1077 / +
页数：2
相关论文
共 50 条
  • [21] Optimization of milling parameters for the mechanosynthesis of nanocrystalline hydroxyapatite
    Mandal, T.
    Mishra, B. K.
    Garg, A.
    Chaira, D.
    POWDER TECHNOLOGY, 2014, 253 : 650 - 656
  • [22] Milling Parameters Optimization by Grey Relation Theory
    Zhang, Xiaohong
    Yin, Guofu
    MATERIALS AND COMPUTATIONAL MECHANICS, PTS 1-3, 2012, 117-119 : 1708 - +
  • [23] Optimization Research of Cavity Milling Processing Parameters
    Xue Bing
    Ma Wei-dong
    2013 FIFTH INTERNATIONAL CONFERENCE ON MEASURING TECHNOLOGY AND MECHATRONICS AUTOMATION (ICMTMA 2013), 2013, : 774 - 776
  • [24] Optimization of milling parameters based on genetic algorithm
    Li, Q.
    Wang, R.
    Liu, Q. J.
    Wu, R. Z.
    Shao, M. K.
    Liao, C. J.
    FUNCTIONAL MANUFACTURING AND MECHANICAL DYNAMICS II, 2012, 141 : 403 - 407
  • [25] Optimization of milling parameters in flexible manufacturing systems
    Cus, F.
    Balic, J.
    Milfelner, M.
    ANNALS OF DAAAM FOR 2003 & PROCEEDINGS OF THE 14TH INTERNATIONAL DAAAM SYMPOSIUM: INTELLIGENT MANUFACTURING & AUTOMATION: FOCUS ON RECONSTRUCTION AND DEVELOPMENT, 2003, : 109 - 110
  • [26] Simultaneous optimization of mechanical properties of steel by maximizing exponential desirability functions
    Kim, KJ
    Lin, DKJ
    JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES C-APPLIED STATISTICS, 2000, 49 : 311 - 325
  • [27] HYBRIDIZATION OF ARTIFICIAL NEURAL NETWORK USING DESIRABILITY FUNCTIONS FOR PROCESS OPTIMIZATION
    Das, Prasun
    INTERNATIONAL JOURNAL FOR QUALITY RESEARCH, 2010, 4 (01) : 37 - 50
  • [28] Optimization Of Electrical Discharge Machining Process Parameters Using Desirability Approach
    Sengottuvel, P.
    Satishkumar, S.
    Dinakaran, D.
    ADVANCED MANUFACTURING TECHNOLOGY AND SYSTEMS, 2012, 159 : 176 - +
  • [29] OPTIMIZATION OF SHEARING PARAMETERS OF CORN STALKS BASED ON DESIRABILITY FUNCTION APPROACH
    Wanyuan, Huang
    Shuo, Qiu
    Dezhi, Ren
    Yuanjuan, Gong
    Xuewei, Bai
    Wei, Wang
    INMATEH-AGRICULTURAL ENGINEERING, 2021, 64 (02): : 355 - 364
  • [30] A hybrid desirability function approach for tuning parameters in evolutionary optimization algorithms
    Mobin, Mohammadsadegh
    Mousavi, Seyed Mohsen
    Komaki, Mohammad
    Tavana, Madjid
    MEASUREMENT, 2018, 114 : 417 - 427
12345