DMCA
Tool Breakage Detection in Milling Operations using a Negative-Selection Algorithm. (1995)
| Citations: | 27 - 8 self |
BibTeX
@TECHREPORT{Dasgupta95toolbreakage,
author = {Dipankar Dasgupta and Stephanie Forrest},
title = {Tool Breakage Detection in Milling Operations using a Negative-Selection Algorithm.},
institution = {},
year = {1995}
}
Share
 |
 |
 |
 |
||
OpenURL
Abstract
Detection of tool breakage is very important for automated machining operations. This paper presents a negative-selection algorithm for tool breakage detection. The method is inspired by the defense mechanism of the immune system, which discriminates between self and non-self. Here self is defined to be normal cutting operations and non-self is any deviation beyond allowable variation of the cutting force. The proposed algorithm is illustrated with a simulation study of milling operations and the performance of the algorithm in detecting the occurrence of tool breakage is reported. The negative-selection algorithm detected tool breakage in all the test cases. 1 Introduction Manufacturers are always looking for ways to improve productivity without compromising on quality of manufacturing processes. To this end, much attention has been directed towards automated manufacturing. In drilling or high-speed milling industries, on-line monitoring of the tool breakage is a key component in unm...
Keyphrases
negative-selection algorithm tool breakage detection tool breakage milling operation on-line monitoring manufacturing process simulation study introduction manufacturer allowable variation key component immune system test case defense mechanism much attention automated machining operation high-speed milling industry
