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
  • [41] Research on Multi-parameter Identification Strategy of Electrically Excited Synchronous Motor
    Tang Mengrani
    Liu Qiong
    Luo Cong
    Huang Limbo
    2022 34TH CHINESE CONTROL AND DECISION CONFERENCE, CCDC, 2022, : 2637 - 2644
  • [42] MULTI-PARAMETER STIELTJES TRANSFORMATIONS
    SHONKWIL.R
    NOTICES OF THE AMERICAN MATHEMATICAL SOCIETY, 1974, 21 (07): : A613 - A613
  • [43] Multi-parameter and multi-mode control simulation analyses of ejection seat
    Feng, Wen-Chun
    Lin, Gui-Ping
    Xitong Fangzhen Xuebao / Journal of System Simulation, 2007, 19 (10): : 2283 - 2286
  • [44] MULTI-PARAMETER TIKHONOV REGULARIZATION
    Ito, Kazufumi
    Jin, Bangti
    Takeuchi, Tomoya
    METHODS AND APPLICATIONS OF ANALYSIS, 2011, 18 (01) : 31 - 46
  • [45] MULTI-PARAMETER BURAU REPRESENTATIONS
    Al-Tahan, Madline
    Abdulrahim, Mohammad N.
    Habre, Samer S.
    TAMKANG JOURNAL OF MATHEMATICS, 2013, 44 (01): : 91 - 98
  • [46] MULTI-PARAMETER DATA SORTING
    LECLAIRE, RV
    BULLETIN OF THE AMERICAN PHYSICAL SOCIETY, 1978, 23 (04): : 557 - 557
  • [47] MULTI-PARAMETER COMPUTERIZED ELECTROMYOGRAPHY
    TOIVAKKA, EI
    ELECTROENCEPHALOGRAPHY AND CLINICAL NEUROPHYSIOLOGY, 1982, 53 (05): : P71 - P71
  • [48] Application of Recursive Least Square Algorithm in Aircraft Multi-Parameter Identification
    Feng Zhenyu
    Wang Jin
    Wu Huzi
    2011 AASRI CONFERENCE ON ARTIFICIAL INTELLIGENCE AND INDUSTRY APPLICATION (AASRI-AIIA 2011), VOL 1, 2011, : 123 - 126
  • [49] Simultaneous multi-parameter identification algorithm for clearance-type nonlinearity
    Hu, Bingbing
    Liu, Jie
    Liu, Shanhui
    Li, Bing
    Lei, Xiaofei
    MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 2020, 139
  • [50] Multi-Parameter Identification by Exploiting Module Parasitics With Only One Sensor
    Lautner, Frank
    Bakran, Mark-M
    2021 23RD EUROPEAN CONFERENCE ON POWER ELECTRONICS AND APPLICATIONS (EPE'21 ECCE EUROPE), 2021,
12345