Multi-parameter identification and control of turned surface textures

被引：0
|
作者：
Petropoulos, G.P. [1 ]
Pandazaras, C.N. [1 ]
Vaxevanidis, N.M. [2 ]
Antoniadis, A. [3 ]
机构：
[1] Department of Mechanical and Industrial Engineering, University of Thessaly, Pedion Areos 383 34 Volos, Greece
[2] Hellenic Airforce Academy, Dekelia Air Force Base, Attica, Greece
[3] Department of Natural Resources and Environment, Technological Educational Institute of Crete, 3 Romanou str., 73133 Chania, Crete, Greece
来源：
International Journal of Advanced Manufacturing Technology | 2006年 / 29卷 / 1-2期
关键词：
A method for characterizing turned surface textures corresponding to varying cutting variables leading to differing profile shape is presented with emphasis on a global view of turning machinability parameters. Through a multi-parameter experimental analysis of turned steel specimens; several standardized parameters are developed. The ability of these parameters are tested to distinguish between different profiles in shape or to identify some particular features with respect to cutting factors. It is indicated that texture statistical functions and parameters are the most effective for relative discrimination and control. Based on the results of this study; new maps for turned surface control are developed. With regards to the variability of some of the parameters at different surface measuring sites; it is evident that the amount of scatter is lower when cutting factors offer regular chip formation;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
Journal article (JA)
引用
收藏
页码：118 / 128
相关论文
共 50 条
  • [11] Water quality multi-parameter identification and inverse algorithm
    Li, Lan
    Shuili Xuebao/Journal of Hydraulic Engineering, (06): : 46 - 52
  • [12] Multi-Parameter Identification and Applications in Well-Logging
    Yue-Jun Peng
    Yongji Tan
    Computational Geosciences, 2001, 5 : 331 - 343
  • [13] Surface tunnel borehole multi-parameter EM receiver
    Chen Kai
    Jin Sheng
    Wei WenBo
    Deng Ming
    Ye GaoFeng
    CHINESE JOURNAL OF GEOPHYSICS-CHINESE EDITION, 2019, 62 (10): : 3803 - 3818
  • [14] Multi-parameter model based advanced process control
    Velichko, SA
    2004 IEEE/SEMI ADVANCED SEMICONDUCTOR MANUFACTURING CONFERENCE AND WORKSHOP: ADVANCING THE SCIENCE AND TECHNOLOGY OF SEMICONDUCTOR MANUFACTURING EXCELLENCE, 2004, : 443 - 447
  • [15] Multi-parameter optimization and control of the cylindrical grinding process
    Li, GF
    Wang, LS
    Yang, LB
    JOURNAL OF MATERIALS PROCESSING TECHNOLOGY, 2002, 129 (1-3) : 232 - 236
  • [16] Gestural interactions for multi-parameter audio control and audification
    Hermann, T
    Paschalidou, S
    Beckmann, D
    Ritter, H
    GESTURE IN HUMAN-COMPUTER INTERACTION AND SIMULATION, 2006, 3881 : 335 - 338
  • [17] MULTI-PARAMETER RESOLVENTS
    SHONKWIL.R
    NOTICES OF THE AMERICAN MATHEMATICAL SOCIETY, 1972, 19 (07): : A794 - A794
  • [18] MULTI-PARAMETER ANALYSIS
    RANGER, CB
    INDUSTRIAL RESEARCH & DEVELOPMENT, 1979, 21 (09): : 134 - 137
  • [19] ON MULTI-PARAMETER THEORY
    VOLKMER, H
    JOURNAL OF MATHEMATICAL ANALYSIS AND APPLICATIONS, 1982, 86 (01) : 44 - 53
  • [20] Multi-parameter paraproducts
    Muscalu, Camil
    Pipher, Jill
    Tao, Terence
    Thiele, Christoph
    REVISTA MATEMATICA IBEROAMERICANA, 2006, 22 (03) : 963 - 976
12345