Modelling of Temperature Distribution in Orthogonal Machining

Heat generation during machining has a profound effect on the performance of cutting tools, tool life, machinability of materials, and workpiece surface integrity. Thus, measurement and monitoring of cutting temperature is necessary for tool condition monitoring as well as to achieve the targeted surface and mechanical integrity of the produced parts. However, experimental measurement of cutting temperature could often be challenging, time consuming and cost intensive, and hence prediction of temperature distribution at the machining zone via modelling is imperative. This study verifies and validates prior analytical models from the literature to generate the temperature distribution patterns within the cutting tool, chip, and workpiece during macro-machining. The temperature fields at the shear zone (chip-workpiece interface) and at the friction zone (chip-tool interface) are generated using MATLAB software. The data closely matches with the range of cutting zone temperature found in the literature, with only ~6-7% deviation.

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Publication Details

Published
2024-11-18
DOI
https://doi.org/10.18573/conf3.m
Primary Topic
Advanced machining processes and optimization
Type
article
Field-Weighted Citation Impact
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article

Modelling of Temperature Distribution in Orthogonal Machining

Debajyoti Bhaduri, Emmanuel Brousseau, Jianhua Zheng
Advanced machining processes and optimization
article

Modelling of Temperature Distribution in Orthogonal Machining

Debajyoti Bhaduri, Emmanuel Brousseau, Jianhua Zheng
article en

Abstract

Heat generation during machining has a profound effect on the performance of cutting tools, tool life, machinability of materials, and workpiece surface integrity. Thus, measurement and monitoring of cutting temperature is necessary for tool condition monitoring as well as to achieve the targeted surface and mechanical integrity of the produced parts. However, experimental measurement of cutting temperature could often be challenging, time consuming and cost intensive, and hence prediction of temperature distribution at the machining zone via modelling is imperative. This study verifies and validates prior analytical models from the literature to generate the temperature distribution patterns within the cutting tool, chip, and workpiece during macro-machining. The temperature fields at the shear zone (chip-workpiece interface) and at the friction zone (chip-tool interface) are generated using MATLAB software. The data closely matches with the range of cutting zone temperature found in the literature, with only ~6-7% deviation.

Cardiff University (GB)
China Scholarship Council
Openalex Percentile: Top 79%
Advanced machining processes and optimization
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