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Proceedings Paper

Application of higher polynomial with variable coefficients to investigation of tool wear and fracture-fusion model in monitoring the cutting processes of turning and end-milling
Author(s): Zhen-Bi Luo; Yu Quan; Zheng Li; Anne Jinsong Wang
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Paper Abstract

This paper presents a set of feature parameters characterizing tool wear and fracture in turning and endmilling processes which are extracted from the acoustic emission (AE) and vibration signals through frequency analysis and multistep extraction analysis. A tool wear and fracture fusion model is made on the relevance analysis trend analysis and the least square regression. Based on the recognition algorithm of selfsimilar analysis the value of tool wear can be calibrated. Using the abovementioned research results a realtime tool monitoring system is developed for turning and endmilling processes with higher rate of success fewer prediction errors and faster response time

Paper Details

Date Published: 22 September 1993
PDF: 8 pages
Proc. SPIE 2101, Measurement Technology and Intelligent Instruments, (22 September 1993); doi: 10.1117/12.156354
Show Author Affiliations
Zhen-Bi Luo, Tsinghua Univ. (China)
Yu Quan, Tsinghua Univ. (China)
Zheng Li, Tsinghua Univ. (China)
Anne Jinsong Wang, Tsinghua Univ. (China)

Published in SPIE Proceedings Vol. 2101:
Measurement Technology and Intelligent Instruments
Li Zhu, Editor(s)

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