Cutting temperature measurement and prediction in machining processes: comprehensive review and future perspectives

被引:0
作者
Bruno Miguel Pereira Guimarães
Cristina Maria da Silva Fernandes
Daniel Amaral de Figueiredo
Filipe Samuel Correia Pereira da Silva
Maria Georgina Macedo Miranda
机构
[1] University of Minho,Center for MicroElectroMechanical Systems (CMEMS
[2] Palbit S.A,UMinho)
[3] CICECO,Department of Materials and Ceramic Engineering
[4] Aveiro Institute of Materials,undefined
[5] University of Aveiro,undefined
来源
The International Journal of Advanced Manufacturing Technology | 2022年 / 120卷
关键词
Cutting temperature; Machining processes; Temperature measurement; Temperature prediction; Smart cutting tools; Industry 5.0;
D O I
暂无
中图分类号
学科分类号
摘要
During machining processes, a large amount of heat is generated due to plastic deformation, in a very small area of the cutting tool. This high temperature strongly influences chip formation mechanisms, tool wear, tool life, and workpiece surface integrity and quality. In this sense, knowing the temperature at various points of tool, chip, and workpiece during machining processes is of utmost importance to effectively optimize cutting parameters, improve machinability and product quality, reduce machining costs, and increase tool life and productivity. This paper presents a review of the various methods for temperature measurement and prediction in machining processes, being the different methods discussed and evaluated regarding its merits and demerits. The most suitable method for a given application depends on several aspects, such as cost, size, shape, accuracy, response time, and temperature range. Lastly, some future perspectives for real-time cutting temperature monitoring in the scope of Industry 4.0 and 5.0 are outlined, as well as being presented a new field of tools capable of measuring and controlling cutting temperature, called smart cutting tools.
引用
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页码:2849 / 2878
页数:29
相关论文
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