A TURNING METHOD FOR MONITORING TOOL WEAR WHEN MACHINING RECONSTITUTED WOOD PRODUCTS

被引：0
|
作者：
STEWART, HA
机构：
来源：
FOREST PRODUCTS JOURNAL | 1985年 / 35卷 / 11-1期
关键词：
D O I：
暂无
中图分类号：
S7 [林业];
学科分类号：
0829 ; 0907 ;
摘要：
引用
收藏
页码：41 / 42
页数：2
相关论文
共 50 条
  • [21] An industrial tool wear monitoring system for interrupted turning
    Scheffer, C
    Heyns, PS
    MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 2004, 18 (05) : 1219 - 1242
  • [22] Systematic investigation of tool wear monitoring in turning operations
    Xu, Nuo
    Huang, Samuel
    Snyder, John
    Manufacturing Engineering and Materials Handling, 2005 Pts A and B, 2005, 16 : 359 - 367
  • [23] Tool wear monitoring in turning: a neural network application
    Sick, B
    MEASUREMENT & CONTROL, 2001, 34 (07): : 207 - 222
  • [24] TOOL WEAR AND FAILURE MONITORING TECHNIQUES FOR TURNING - A REVIEW
    LI, D
    MATHEW, J
    INTERNATIONAL JOURNAL OF MACHINE TOOLS & MANUFACTURE, 1990, 30 (04): : 579 - 598
  • [25] TOOL WEAR MONITORING THROUGH THE DYNAMICS OF STABLE TURNING
    RAO, SB
    JOURNAL OF ENGINEERING FOR INDUSTRY-TRANSACTIONS OF THE ASME, 1986, 108 (03): : 183 - 190
  • [26] WEAR OF TURNING TOOL DURING MACHINING OF STEELS USED IN SURGICAL INSTRUMENTS
    Zawada-Michalowska, Magdalena
    Piesko, Pawel
    Jozwik, Jerzy
    Lukaszewicz, Andrzej
    18TH INTERNATIONAL SCIENTIFIC CONFERENCE ENGINEERING FOR RURAL DEVELOPMENT, 2019, : 1749 - 1754
  • [27] Investigation of progressive tool wear for determining of optimized machining parameters in turning
    Kuntoglu, Mustafa
    Saglam, Haci
    MEASUREMENT, 2019, 140 : 427 - 436
  • [28] Tool wear monitoring under dry and wet machining
    El-Hossainy, TM
    MATERIALS AND MANUFACTURING PROCESSES, 2001, 16 (02) : 165 - 176
  • [29] DEVELOPMENT OF A CONTRIVED TOOL WEAR METHOD IN MACHINING
    Grimm, Tyler J.
    Potthoff, Nils
    Kharat, Nilesh Ashok
    Mears, Laine
    Wiederkehr, Petra
    PROCEEDINGS OF ASME 2021 INTERNATIONAL MECHANICAL ENGINEERING CONGRESS AND EXPOSITION (IMECE2021), VOL 2B, 2021,
  • [30] Digital Twin-Driven Tool Wear Monitoring and Predicting Method for the Turning Process
    Zhuang, Kejia
    Shi, Zhenchuan
    Sun, Yaobing
    Gao, Zhongmei
    Wang, Lei
    SYMMETRY-BASEL, 2021, 13 (08):
12345