Aanalytical Modeling of Cutting Tool Wear for Superalloy and Experimental Validation

Tool life in superalloy cutting is an important parameter that affects the machining cost and efficiency. In this paper, the wear analysis model of superalloy GH901 cutting tool is established by using minimum energy method. The influence of chip velocity, cutting temperature and positive pressure on the wear are considered. Aiming at three different types of cutting tools, the cutting speed of 40m/min is used to carry out the turning wear experiment on superalloy GH901. The tool life curve is established according to the measurement data of the wear width of the back tool face. The analysis and comparison with the literature model prediction and the experimental results show that the proposed model has a good prediction effect on the wear measurement of superalloy tool. Furthermore, the influence of cutting speed and thermodynamic parameters between tool and workpiece on tool wear are analyzed theoretically.

Authors

Publication Details

Journal
Scientific Journal of Technology
Published
2025-03-19
DOI
https://doi.org/10.54691/bwp7xc95
Primary Topic
Advanced machining processes and optimization
Type
article
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article

Aanalytical Modeling of Cutting Tool Wear for Superalloy and Experimental Validation

Binglin Li, Lixin Wang
Scientific Journal of Technology
Advanced machining processes and optimization
article

Aanalytical Modeling of Cutting Tool Wear for Superalloy and Experimental Validation

Binglin Li, Lixin Wang
article en

Abstract

Tool life in superalloy cutting is an important parameter that affects the machining cost and efficiency. In this paper, the wear analysis model of superalloy GH901 cutting tool is established by using minimum energy method. The influence of chip velocity, cutting temperature and positive pressure on the wear are considered. Aiming at three different types of cutting tools, the cutting speed of 40m/min is used to carry out the turning wear experiment on superalloy GH901. The tool life curve is established according to the measurement data of the wear width of the back tool face. The analysis and comparison with the literature model prediction and the experimental results show that the proposed model has a good prediction effect on the wear measurement of superalloy tool. Furthermore, the influence of cutting speed and thermodynamic parameters between tool and workpiece on tool wear are analyzed theoretically.

Scientific Journal of TechnologyVol. 7(3)
Openalex Percentile: Top 95%
Advanced machining processes and optimization
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