Evaluation of wear of turning carbide inserts using neural networks
- 31 July 1996
- journal article
- Published by Elsevier in International Journal of Machine Tools and Manufacture
- Vol. 36 (7) , 789-797
- https://doi.org/10.1016/0890-6955(95)00089-5
Abstract
No abstract availableKeywords
This publication has 21 references indexed in Scilit:
- In-process monitoring of tool wear in milling using cutting force signaturePublished by Elsevier ,2003
- Detection of tool breakage in milling operations—I. The time series analysis approachInternational Journal of Machine Tools and Manufacture, 1993
- The Use of Force Ratios in the Tracking of Tool Wear in TurningJournal of Engineering for Industry, 1993
- Modelling of multivariate time series for tool wear estimation in finish-turningInternational Journal of Machine Tools and Manufacture, 1992
- Investigation of two square-to-round multipass rolling sequences by the slab-finite element methodInternational Journal of Machine Tools and Manufacture, 1992
- On-line tool-wear monitoring using a PCJournal of Materials Processing Technology, 1992
- A study of acoustic emission generated during orthogonal metal cutting—2: Spectral analysisInternational Journal of Mechanical Sciences, 1991
- A study of acoustic emission generated during orthogonal metal cutting—1: Energy analysisInternational Journal of Mechanical Sciences, 1991
- A Study on Acoustic Emission from the Orthogonal Cutting ProcessJournal of Engineering for Industry, 1990
- Tool wear and failure monitoring techniques for turning—A reviewInternational Journal of Machine Tools and Manufacture, 1990