Skip to content
Open Access
  • Home
  • Collections
    • High Impact Articles
    • Jawi Collection
    • Malay Medicine
    • Forensic
  • Search Options
    • UiTM Open Access
    • Search by UiTM Scopus
    • Advanced Search
    • Search by Category
  • Discovery Service
    • Sources
    • UiTM Journals
    • List UiTM Journal in IR
    • Statistic
  • About
    • Open Access
    • Creative Commons Licenses
    • COKI | Malaysia Open Access
    • User Guide
    • Contact Us
    • Search Tips
    • FAQs
Advanced
  • Development of a wear monitori...
  • Cite this
  • Text this
  • Email this
  • Print
  • Export Record
    • Export to RefWorks
    • Export to EndNoteWeb
    • Export to EndNote
  • Permanent link
Development of a wear monitoring system for turning tools using artificial intelligence

Development of a wear monitoring system for turning tools using artificial intelligence

Please read the abstract (Summary) in the 00front part of this document === Thesis (PhD (Mechanical Engineering))--University of Pretoria, 2006. === Mechanical and Aeronautical Engineering === unrestricted

Bibliographic Details
Main Author: Scheffer, Cornelius
Other Authors: Prof P S Heyns
Published: 2013
Subjects:
Turning
Vibration testing
Machine-tools monitoring
Artificial intelligence
Mechanical wear
UCTD
Online Access:http://hdl.handle.net/2263/28640
Scheffer, C 2003, Development of a wear monitoring system for turning tools using artificial intelligence, PhD thesis, University of Pretoria, Pretoria, viewed yymmdd < http://hdl.handle.net/2263/28640 >
http://upetd.up.ac.za/thesis/available/etd-10122006-111142/
  • Holdings
  • Description
  • Similar Items
  • Staff View

Internet

http://hdl.handle.net/2263/28640
Scheffer, C 2003, Development of a wear monitoring system for turning tools using artificial intelligence, PhD thesis, University of Pretoria, Pretoria, viewed yymmdd < http://hdl.handle.net/2263/28640 >
http://upetd.up.ac.za/thesis/available/etd-10122006-111142/

Similar Items

  • Monitoring of tool wear in turning operations using vibration measurements
    by: Scheffer, Cornelius
    Published: (2013)
  • Estimation and Optimization of Tool Wear in Conventional Turning of 709M40 Alloy Steel Using Support Vector Machine (SVM) with Bayesian Optimization
    by: Mahdi S. Alajmi, et al.
    Published: (2021-07-01)
  • Predictive modeling of tool wear rate with application to CBN hard turning
    by: Huang, Yong
    Published: (2007)
  • Digital Twin-Driven Tool Wear Monitoring and Predicting Method for the Turning Process
    by: Kejia Zhuang, et al.
    Published: (2021-08-01)
  • Experimental Characterization of Tool Wear Morphology and Cutting Force Profile in Dry and Wet Turning of Titanium Metal Matrix Composites (Ti-MMCs)
    by: Masoomeh Safavi, et al.
    Published: (2020-10-01)

© 2020 | Services hosted by the Perpustakaan Tun Abdul Razak, | Universiti Teknologi MARA | Disclaimer


Loading...
Cannot write session to /tmp/vufind_sessions/sess_vpnojv1gm33thkbdlgsbn5alfa