Paper
22 September 1993 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
Zhen-Bi Luo, Yu Quan, Zheng Li, Anne Jinsong Wang
Author Affiliations +
Proceedings Volume 2101, Measurement Technology and Intelligent Instruments; (1993) https://doi.org/10.1117/12.156354
Event: Measurement Technology and Intelligent Instruments, 1993, Wuhan, China
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
© (1993) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Zhen-Bi Luo, Yu Quan, Zheng Li, and Anne Jinsong Wang "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", Proc. SPIE 2101, Measurement Technology and Intelligent Instruments, (22 September 1993); https://doi.org/10.1117/12.156354
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Cited by 2 scholarly publications.
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KEYWORDS
Signal processing

Analytical research

Error analysis

Feature extraction

Aluminum

Calibration

Data modeling

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