Concept and basic study of improvement system of surface roughness, waviness and figure accuracy by WORFAC

被引:0
|
作者
NIKON Corp, Tokyo, Japan [1 ]
机构
来源
J Mater Process Technol | / 4卷 / 423-426期
关键词
Cutting tools - Process control - Surface roughness - Turning;
D O I
暂无
中图分类号
学科分类号
摘要
In ultraprecision machining technology, manufacture of more precise and large elements is expected. The author proposed a new system, named workpiece-referred form accuracy control system (WORFAC), and confirmed an effectiveness of this manufacturing method on a waviness improvement. In this report, we propose a new system with WORFAC, which has three control systems; a waviness control system, a figure control system, and a surface roughness control system. So far, basic studies on the figure and surface roughness control systems are carried out. And the possibility of this new system is confirmed.
引用
收藏
相关论文
共 50 条
  • [31] Probability of detection simulations to study the influence of surface roughness on the reliability of ultrasonic testing system
    Mohammed, M. S.
    Ki-Seong, Kim
    RUSSIAN JOURNAL OF NONDESTRUCTIVE TESTING, 2014, 50 (04) : 239 - 247
  • [32] Study on Surface Roughness Improvement of Selective Laser Melted Ti6Al4V Alloy
    Wang, Di
    Lv, Jiale
    Wei, Xiongmian
    Lu, Dong
    Chen, Chen
    CRYSTALS, 2023, 13 (02)
  • [33] Study on Improvement of Surface Roughness and Induced Residual Stress for Additively Manufactured Metal Parts by Abrasive Flow Machining
    Peng, Can
    Fu, Youzhi
    Wei, Haibo
    Li, Shicong
    Wang, Xuanping
    Gao, Hang
    4TH CIRP CONFERENCE ON SURFACE INTEGRITY (CSI 2018), 2018, 71 : 386 - 389
  • [34] Surface roughness and vibration study of an accelerometer mount used in a helicopter health usage and management system
    Hochmann, D
    Limoge, E
    Bechhoefer, E
    Cihlar, D
    2002 IEEE AEROSPACE CONFERENCE PROCEEDINGS, VOLS 1-7, 2002, : 3131 - 3140
  • [35] Study of the fundamental contributions to line edge roughness in a 193 nm, top surface imaging system
    Somervell, MH
    Fryer, DS
    Osborn, B
    Patterson, K
    Byers, J
    Willson, CG
    JOURNAL OF VACUUM SCIENCE & TECHNOLOGY B, 2000, 18 (05): : 2551 - 2559
  • [36] Intelligent Manufacturing Monitoring and Surface Roughness Prediction System - A Case Study of Aluminum Parts Milling
    Chen, Po-Yang
    Hsu, Ya-Wen
    Lee, Ming-Chan
    Perng, Jau-Woei
    2020 INTERNATIONAL AUTOMATIC CONTROL CONFERENCE (CACS), 2020,
  • [37] Study on accuracy improvement method for UHF-RFID system with the floor applicable microwave absorber
    Itoh, Tatsuki
    Okano, Yoshi Nobu
    2022 ASIA-PACIFIC MICROWAVE CONFERENCE (APMC), 2022, : 431 - 433
  • [38] Basic development of data sharing CNC system (Case study on high accuracy machining of characteristic lines)
    Sudo, Masako
    Aoyama, Hideki
    JOURNAL OF ADVANCED MECHANICAL DESIGN SYSTEMS AND MANUFACTURING, 2020, 14 (01):
  • [39] Modified state-surface approach to the study of unsaturated soil behavior. Part I: Basic concept
    Zhang, Xiong
    Lytton, Robert L.
    CANADIAN GEOTECHNICAL JOURNAL, 2009, 46 (05) : 536 - 552
  • [40] A comparative study of basic and ensemble artificial intelligence models for surface roughness prediction during the AA7075 milling process
    Abd El Hedi Gabsi
    Chokri Ben Aissa
    Safa Mathlouthi
    The International Journal of Advanced Manufacturing Technology, 2023, 126 (1-2) : 1 - 15