Cutting temperature measurement and prediction in machining processes: comprehensive review and future perspectives
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, knowin...
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| Autor*in: |
Pereira Guimarães, Bruno Miguel [verfasserIn] da Silva Fernandes, Cristina Maria |
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| Format: |
Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2022 |
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| Schlagwörter: |
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| Anmerkung: |
© The Author(s), under exclusive licence to Springer-Verlag London Ltd., part of Springer Nature 2022 |
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| Übergeordnetes Werk: |
Enthalten in: The international journal of advanced manufacturing technology - Springer London, 1985, 120(2022), 5-6 vom: 10. März, Seite 2849-2878 |
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| Übergeordnetes Werk: |
volume:120 ; year:2022 ; number:5-6 ; day:10 ; month:03 ; pages:2849-2878 |
| Links: |
|---|
| DOI / URN: |
10.1007/s00170-022-08957-z |
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OLC2078551813 |
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| 520 | |a 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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10.1007/s00170-022-08957-z doi (DE-627)OLC2078551813 (DE-He213)s00170-022-08957-z-p DE-627 ger DE-627 rakwb eng 670 VZ Pereira Guimarães, Bruno Miguel verfasserin (orcid)0000-0001-7126-6365 aut Cutting temperature measurement and prediction in machining processes: comprehensive review and future perspectives 2022 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © The Author(s), under exclusive licence to Springer-Verlag London Ltd., part of Springer Nature 2022 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. Cutting temperature Machining processes Temperature measurement Temperature prediction Smart cutting tools Industry 5.0 da Silva Fernandes, Cristina Maria (orcid)0000-0001-9713-060X aut Amaral de Figueiredo, Daniel (orcid)0000-0002-5697-4344 aut Correia Pereira da Silva, Filipe Samuel (orcid)0000-0003-3596-3328 aut Macedo Miranda, Maria Georgina (orcid)0000-0003-0523-9670 aut Enthalten in The international journal of advanced manufacturing technology Springer London, 1985 120(2022), 5-6 vom: 10. März, Seite 2849-2878 (DE-627)129185299 (DE-600)52651-4 (DE-576)014456192 0268-3768 nnns volume:120 year:2022 number:5-6 day:10 month:03 pages:2849-2878 https://doi.org/10.1007/s00170-022-08957-z lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC GBV_ILN_2018 GBV_ILN_2333 AR 120 2022 5-6 10 03 2849-2878 |
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10.1007/s00170-022-08957-z doi (DE-627)OLC2078551813 (DE-He213)s00170-022-08957-z-p DE-627 ger DE-627 rakwb eng 670 VZ Pereira Guimarães, Bruno Miguel verfasserin (orcid)0000-0001-7126-6365 aut Cutting temperature measurement and prediction in machining processes: comprehensive review and future perspectives 2022 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © The Author(s), under exclusive licence to Springer-Verlag London Ltd., part of Springer Nature 2022 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. Cutting temperature Machining processes Temperature measurement Temperature prediction Smart cutting tools Industry 5.0 da Silva Fernandes, Cristina Maria (orcid)0000-0001-9713-060X aut Amaral de Figueiredo, Daniel (orcid)0000-0002-5697-4344 aut Correia Pereira da Silva, Filipe Samuel (orcid)0000-0003-3596-3328 aut Macedo Miranda, Maria Georgina (orcid)0000-0003-0523-9670 aut Enthalten in The international journal of advanced manufacturing technology Springer London, 1985 120(2022), 5-6 vom: 10. März, Seite 2849-2878 (DE-627)129185299 (DE-600)52651-4 (DE-576)014456192 0268-3768 nnns volume:120 year:2022 number:5-6 day:10 month:03 pages:2849-2878 https://doi.org/10.1007/s00170-022-08957-z lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC GBV_ILN_2018 GBV_ILN_2333 AR 120 2022 5-6 10 03 2849-2878 |
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10.1007/s00170-022-08957-z doi (DE-627)OLC2078551813 (DE-He213)s00170-022-08957-z-p DE-627 ger DE-627 rakwb eng 670 VZ Pereira Guimarães, Bruno Miguel verfasserin (orcid)0000-0001-7126-6365 aut Cutting temperature measurement and prediction in machining processes: comprehensive review and future perspectives 2022 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © The Author(s), under exclusive licence to Springer-Verlag London Ltd., part of Springer Nature 2022 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. Cutting temperature Machining processes Temperature measurement Temperature prediction Smart cutting tools Industry 5.0 da Silva Fernandes, Cristina Maria (orcid)0000-0001-9713-060X aut Amaral de Figueiredo, Daniel (orcid)0000-0002-5697-4344 aut Correia Pereira da Silva, Filipe Samuel (orcid)0000-0003-3596-3328 aut Macedo Miranda, Maria Georgina (orcid)0000-0003-0523-9670 aut Enthalten in The international journal of advanced manufacturing technology Springer London, 1985 120(2022), 5-6 vom: 10. März, Seite 2849-2878 (DE-627)129185299 (DE-600)52651-4 (DE-576)014456192 0268-3768 nnns volume:120 year:2022 number:5-6 day:10 month:03 pages:2849-2878 https://doi.org/10.1007/s00170-022-08957-z lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC GBV_ILN_2018 GBV_ILN_2333 AR 120 2022 5-6 10 03 2849-2878 |
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10.1007/s00170-022-08957-z doi (DE-627)OLC2078551813 (DE-He213)s00170-022-08957-z-p DE-627 ger DE-627 rakwb eng 670 VZ Pereira Guimarães, Bruno Miguel verfasserin (orcid)0000-0001-7126-6365 aut Cutting temperature measurement and prediction in machining processes: comprehensive review and future perspectives 2022 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © The Author(s), under exclusive licence to Springer-Verlag London Ltd., part of Springer Nature 2022 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. Cutting temperature Machining processes Temperature measurement Temperature prediction Smart cutting tools Industry 5.0 da Silva Fernandes, Cristina Maria (orcid)0000-0001-9713-060X aut Amaral de Figueiredo, Daniel (orcid)0000-0002-5697-4344 aut Correia Pereira da Silva, Filipe Samuel (orcid)0000-0003-3596-3328 aut Macedo Miranda, Maria Georgina (orcid)0000-0003-0523-9670 aut Enthalten in The international journal of advanced manufacturing technology Springer London, 1985 120(2022), 5-6 vom: 10. März, Seite 2849-2878 (DE-627)129185299 (DE-600)52651-4 (DE-576)014456192 0268-3768 nnns volume:120 year:2022 number:5-6 day:10 month:03 pages:2849-2878 https://doi.org/10.1007/s00170-022-08957-z lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC GBV_ILN_2018 GBV_ILN_2333 AR 120 2022 5-6 10 03 2849-2878 |
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10.1007/s00170-022-08957-z doi (DE-627)OLC2078551813 (DE-He213)s00170-022-08957-z-p DE-627 ger DE-627 rakwb eng 670 VZ Pereira Guimarães, Bruno Miguel verfasserin (orcid)0000-0001-7126-6365 aut Cutting temperature measurement and prediction in machining processes: comprehensive review and future perspectives 2022 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © The Author(s), under exclusive licence to Springer-Verlag London Ltd., part of Springer Nature 2022 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. Cutting temperature Machining processes Temperature measurement Temperature prediction Smart cutting tools Industry 5.0 da Silva Fernandes, Cristina Maria (orcid)0000-0001-9713-060X aut Amaral de Figueiredo, Daniel (orcid)0000-0002-5697-4344 aut Correia Pereira da Silva, Filipe Samuel (orcid)0000-0003-3596-3328 aut Macedo Miranda, Maria Georgina (orcid)0000-0003-0523-9670 aut Enthalten in The international journal of advanced manufacturing technology Springer London, 1985 120(2022), 5-6 vom: 10. März, Seite 2849-2878 (DE-627)129185299 (DE-600)52651-4 (DE-576)014456192 0268-3768 nnns volume:120 year:2022 number:5-6 day:10 month:03 pages:2849-2878 https://doi.org/10.1007/s00170-022-08957-z lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC GBV_ILN_2018 GBV_ILN_2333 AR 120 2022 5-6 10 03 2849-2878 |
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Cutting temperature measurement and prediction in machining processes: comprehensive review and future perspectives |
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Cutting temperature measurement and prediction in machining processes: comprehensive review and future perspectives |
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Pereira Guimarães, Bruno Miguel |
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Pereira Guimarães, Bruno Miguel da Silva Fernandes, Cristina Maria Amaral de Figueiredo, Daniel Correia Pereira da Silva, Filipe Samuel Macedo Miranda, Maria Georgina |
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cutting temperature measurement and prediction in machining processes: comprehensive review and future perspectives |
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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. © The Author(s), under exclusive licence to Springer-Verlag London Ltd., part of Springer Nature 2022 |
| abstractGer |
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. © The Author(s), under exclusive licence to Springer-Verlag London Ltd., part of Springer Nature 2022 |
| abstract_unstemmed |
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. © The Author(s), under exclusive licence to Springer-Verlag London Ltd., part of Springer Nature 2022 |
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Cutting temperature measurement and prediction in machining processes: comprehensive review and future perspectives |
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da Silva Fernandes, Cristina Maria Amaral de Figueiredo, Daniel Correia Pereira da Silva, Filipe Samuel Macedo Miranda, Maria Georgina |
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