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Cutting Tool Fracture Prediction and Strength Evaluation by Stress Identification Part I: Stress Model

Zhou, Jinming LU ; Andersson, Mats LU and Ståhl, Jan-Eric LU (1997) In International Journal of Machine Tools & Manufacture 37(12). p.1691-1714
Abstract
Cutting tool premature failure, caused by tool fracture and chipping, is a frequent problem in the metal cutting area. For a certain type of cutting tool, correctly identifying its load profile and property profile is very crucial for prediction of the tool premature failure. The most direct way to evaluate the load profile and property profile of a cutting tool is to identify the stress working on it. This paper presents a new method for identification of the maximum principal stress and maximum effective stress subjected to a cutting tool in a cutting process. The method consists of four steps: estimation of the contact load on the tool faces, calculation of the maximum related stresses with the FEM, modelling of maximum related stresses... (More)
Cutting tool premature failure, caused by tool fracture and chipping, is a frequent problem in the metal cutting area. For a certain type of cutting tool, correctly identifying its load profile and property profile is very crucial for prediction of the tool premature failure. The most direct way to evaluate the load profile and property profile of a cutting tool is to identify the stress working on it. This paper presents a new method for identification of the maximum principal stress and maximum effective stress subjected to a cutting tool in a cutting process. The method consists of four steps: estimation of the contact load on the tool faces, calculation of the maximum related stresses with the FEM, modelling of maximum related stresses with an artificial neural network and, finally, identification of the maximum principal stress, σe, and maximum effective stress, σe, with the use of measured cutting forces or cutting parameters. The calculation of the contact load on the tool face is based on a simplification of the load distribution on the tool face. Part I of the paper will present this method and Part II will present the results of experimental studies. (Less)
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author
organization
publishing date
type
Contribution to journal
publication status
published
subject
in
International Journal of Machine Tools & Manufacture
volume
37
issue
12
pages
1691 - 1714
publisher
Elsevier
external identifiers
  • scopus:0031362960
ISSN
0890-6955
DOI
10.1016/S0890-6955(97)00031-X
language
English
LU publication?
yes
id
9c14ea60-aa04-48d6-af72-09b299a7ea75 (old id 1513129)
date added to LUP
2009-12-22 10:17:55
date last changed
2017-11-05 03:40:47
@article{9c14ea60-aa04-48d6-af72-09b299a7ea75,
  abstract     = {Cutting tool premature failure, caused by tool fracture and chipping, is a frequent problem in the metal cutting area. For a certain type of cutting tool, correctly identifying its load profile and property profile is very crucial for prediction of the tool premature failure. The most direct way to evaluate the load profile and property profile of a cutting tool is to identify the stress working on it. This paper presents a new method for identification of the maximum principal stress and maximum effective stress subjected to a cutting tool in a cutting process. The method consists of four steps: estimation of the contact load on the tool faces, calculation of the maximum related stresses with the FEM, modelling of maximum related stresses with an artificial neural network and, finally, identification of the maximum principal stress, σe, and maximum effective stress, σe, with the use of measured cutting forces or cutting parameters. The calculation of the contact load on the tool face is based on a simplification of the load distribution on the tool face. Part I of the paper will present this method and Part II will present the results of experimental studies.},
  author       = {Zhou, Jinming and Andersson, Mats and Ståhl, Jan-Eric},
  issn         = {0890-6955},
  language     = {eng},
  number       = {12},
  pages        = {1691--1714},
  publisher    = {Elsevier},
  series       = {International Journal of Machine Tools & Manufacture},
  title        = {Cutting Tool Fracture Prediction and Strength Evaluation by Stress Identification Part I: Stress Model},
  url          = {http://dx.doi.org/10.1016/S0890-6955(97)00031-X},
  volume       = {37},
  year         = {1997},
}