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Prediction of tool wear during micro-milling Inconel 718 thin-walled parts

Prediction of tool wear during micro-milling Inconel 718 thin-walled parts During micro-milling Inconel 718 thin-walled parts, the fluctuation law of cutting force is complex, and the influence of cutting force on tool wear is complicated. How to quantitatively evaluate the status of tool wear and realise the prediction of tool wear during micro-milling Inconel 718 thin-walled parts is a challenge. Experiments of micro-milling Inconel 718 thin-walled parts are carried out. Based on the experimental results, the influence of cutting parameters on cutting forces and tool wear is studied. The relationship between tool wear and milling time is obtained, and the process of tool wear can be divided into early wear stage, accelerated wear stage, and stable wear stage. A regression prediction model of tool wear varying with cutting time is built and validated by experiments. The research explores a feasible way for prediction of tool wear during micro-milling Inconel 718 thin-walled parts. [Submitted 6 January 2020; Accepted 13 June 2020] http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png International Journal of Manufacturing Research Inderscience Publishers

Prediction of tool wear during micro-milling Inconel 718 thin-walled parts

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Publisher
Inderscience Publishers
Copyright
Copyright © Inderscience Enterprises Ltd
ISSN
1750-0591
eISSN
1750-0605
DOI
10.1504/ijmr.2022.121631
Publisher site
See Article on Publisher Site

Abstract

During micro-milling Inconel 718 thin-walled parts, the fluctuation law of cutting force is complex, and the influence of cutting force on tool wear is complicated. How to quantitatively evaluate the status of tool wear and realise the prediction of tool wear during micro-milling Inconel 718 thin-walled parts is a challenge. Experiments of micro-milling Inconel 718 thin-walled parts are carried out. Based on the experimental results, the influence of cutting parameters on cutting forces and tool wear is studied. The relationship between tool wear and milling time is obtained, and the process of tool wear can be divided into early wear stage, accelerated wear stage, and stable wear stage. A regression prediction model of tool wear varying with cutting time is built and validated by experiments. The research explores a feasible way for prediction of tool wear during micro-milling Inconel 718 thin-walled parts. [Submitted 6 January 2020; Accepted 13 June 2020]

Journal

International Journal of Manufacturing ResearchInderscience Publishers

Published: Jan 1, 2022

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