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

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Abstract

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.

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Funding

This work was supported by FCT (Fundação para a Ciência e a Tecnologia) through the grant 2020.07155.BD and by the project POCI-01–0145-FEDER-030353 (SMARTCUT). Additionally, this work was supported by FCT national funds, under the national support to R&D units grant, through the reference projects UIDB/04436/2020 and UIDP/04436/2020. Finally, this work was also developed within the scope of the project CICECO-Aveiro Institute of Materials, UIDB/50011/2020, UIDP/50011/2020, and LA/P/0006/2020, financed by national funds through the FCT/MEC (PIDDAC).

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  1. Filipe Samuel Correia Pereira da Silva and Maria Georgina Macedo Miranda share co-last authorship.

Authors and Affiliations

  1. Center for MicroElectroMechanical Systems (CMEMS-UMinho), University of Minho, Campus de Azurém, 4800-058, Guimarães, Portugal

    Bruno Miguel Pereira Guimarães & Filipe Samuel Correia Pereira da Silva

  2. Palbit S.A, P.O. Box 4, 3854-908, Branca, Portugal

    Cristina Maria da Silva Fernandes & Daniel Amaral de Figueiredo

  3. Department of Materials and Ceramic Engineering, CICECO, Aveiro Institute of Materials, University of Aveiro, 3810-193, Aveiro, Portugal

    Maria Georgina Macedo Miranda

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  1. Bruno Miguel Pereira Guimarães
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Contributions

B. Guimarães: methodology, investigation, writing–original draft, visualization. C. M. Fernandes: conceptualization, writing–review and editing, supervision. D. Figueiredo: writing–review and editing. F. S. Silva: writing–review and editing, supervision. G. Miranda: conceptualization, writing–review and editing, supervision.

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Pereira Guimarães, B.M., da Silva Fernandes, C.M., Amaral de Figueiredo, D. et al. Cutting temperature measurement and prediction in machining processes: comprehensive review and future perspectives. Int J Adv Manuf Technol 120, 2849–2878 (2022). https://doi.org/10.1007/s00170-022-08957-z

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