A knowledge based feed-back control system for precision ELID grinding

被引:7
|
作者
Fathima, K. [1 ]
Schinhaerl, M. [1 ]
Geiss, A. [1 ]
Rascher, R. [1 ]
Sperber, P. [1 ]
机构
[1] Univ Appl Sci Deggendorf, Dept Mech & Opt Engn, D-94469 Deggendorf, Germany
关键词
ELID; Grinding; Knowledge base; Feed-back control; Silicon wafer; Quartz; MECHANISM;
D O I
10.1016/j.precisioneng.2009.05.004
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Newer materials with excellent properties are of recent interest in the optical, electrical and electronics industries. Finishing of new materials for the required stringent specification stated by those industrial applications emerges the innovation of new techniques and processes in the field of manufacturing. Electrolytic in-process dressing (ELID) is one of those new manufacturing techniques which may produce mirror surface finish on various optical and non-optical materials. The easy implementation and the efficiency of the ELID technique have been drawing the attention of the optical manufacturing industries in the recent years. However, further improvements are essential in order to minimize the difficulties experienced during implementation and to extend its suitability for future applications. The authors propose a knowledge based feed-back control system for ELID grinding to eliminate the application difficulties and to improve the effectiveness of the process. This study aims to experiment and to analyze the various features of the developed feed-back control system. The main objective is to examine the effectiveness of the system for precision finishing of optical and non-optical harder materials. The possibilities to reduce the geometrical inaccuracies of the workpiece have been examined in this study. The results show that application of the feed-back control system minimizes the number of correction cycles necessary for precision finishing of hard materials, such as, quartz. (C) 2009 Elsevier Inc. All rights reserved.
引用
收藏
页码:124 / 132
页数:9
相关论文
共 50 条
  • [1] Feed-back control of crane based on inverse dynamics calculation
    Yanai, N
    Yamamoto, M
    Mohri, A
    [J]. IROS 2001: PROCEEDINGS OF THE 2001 IEEE/RJS INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS, VOLS 1-4: EXPANDING THE SOCIETAL ROLE OF ROBOTICS IN THE NEXT MILLENNIUM, 2001, : 482 - 487
  • [2] Results of a feed-back learning process for RapidPlan knowledge based planning
    Fogliata, Antonella
    Fogliata, A.
    Cozzi, L.
    Reggiori, G.
    Stravato, A.
    Lobefalo, F.
    Franzese, C.
    Scorsetti, M.
    [J]. STRAHLENTHERAPIE UND ONKOLOGIE, 2019, 195 (12) : 1132 - 1133
  • [3] A Feed-Back Model of Control Chart for Supplier
    Sun, J.
    Matsui, M.
    [J]. IEEM: 2008 INTERNATIONAL CONFERENCE ON INDUSTRIAL ENGINEERING AND ENGINEERING MANAGEMENT, VOLS 1-3, 2008, : 1063 - 1067
  • [4] INTERFERENCE WITH FEED-BACK CONTROL OF HISTIDINE BIOSYNTHESIS
    MOYED, HS
    [J]. JOURNAL OF BIOLOGICAL CHEMISTRY, 1961, 236 (08) : 2261 - &
  • [5] A FEED-BACK MECHANISM OF GROWTH CONTROL IN TADPOLES
    ROSE, SM
    [J]. BIOLOGICAL BULLETIN, 1958, 115 (02): : 320 - 320
  • [6] FEED-BACK CONTROL OF AMINO ACID TRANSPORT
    HEINZ, E
    RING, K
    GROSS, W
    [J]. FEDERATION PROCEEDINGS, 1967, 26 (02) : 393 - &
  • [7] Efficient dressing of the wheel in ELID grinding by controllable voltage with force feed back
    Tanveer Saleh
    Indraneel Bishwas
    Mustafizur Rahman
    [J]. The International Journal of Advanced Manufacturing Technology, 2010, 46 : 123 - 130
  • [8] Efficient dressing of the wheel in ELID grinding by controllable voltage with force feed back
    Saleh, Tanveer
    Bishwas, Indraneel
    Rahman, Mustafizur
    [J]. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2010, 46 (1-4): : 123 - 130
  • [9] STUDIES ON CONTROL OF PITUITARY-ADRENAL SYSTEM - STRESS AND HUMORAL FEED-BACK CONTROL
    BOHUS, B
    ENDROCZI, E
    LISSAK, K
    [J]. ACTA PHYSIOLOGICA ACADEMIAE SCIENTIARUM HUNGARICAE, 1965, 27 (03): : 279 - +
  • [10] A Combined Feed-Forward/Feed-Back Control System for a QbD-Based Continuous Tablet Manufacturing Process
    Singh, Ravendra
    Muzzio, Fernando J.
    Ierapetritou, Marianthi
    Ramachandran, Rohit
    [J]. PROCESSES, 2015, 3 (02) : 339 - 356