Performance of Al2O3-cBN materials and the perspective of using hyperspectral imaging during cutting tests

The performance of cutting tool materials (CTMs) influences the quality and lifetime of the parts produced using these tools. Unexpected fracturing or other failures of the tools lead to defects of the parts, which accelerates material fatigue and fracture processes. For the purpose of Industry 4.0...

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Autores principales:	Maksim Antonov, Piotr Klimczyk, Rahul Kumar, Mart Tamre, Ali Zahavi
Formato:	article
Lenguaje:	EN
Publicado:	Estonian Academy Publishers 2021
Materias:	wear resistance hyperspectral imaging cubic boron nitride cutting test industry 4.0 automation. Science Q
Acceso en línea:	https://doaj.org/article/99e1a548b9b040c5a75babb40b678e80
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spelling	oai:doaj.org-article:99e1a548b9b040c5a75babb40b678e802021-11-17T17:48:21ZPerformance of Al2O3-cBN materials and the perspective of using hyperspectral imaging during cutting tests1736-60461736-753010.3176/proc.2021.4.21https://doaj.org/article/99e1a548b9b040c5a75babb40b678e802021-11-01T00:00:00Zhttps://kirj.ee/wp-content/plugins/kirj/pub/proc-4-2021-524-532_20211111142401.pdfhttps://doaj.org/toc/1736-6046https://doaj.org/toc/1736-7530The performance of cutting tool materials (CTMs) influences the quality and lifetime of the parts produced using these tools. Unexpected fracturing or other failures of the tools lead to defects of the parts, which accelerates material fatigue and fracture processes. For the purpose of Industry 4.0 and future generations of factories, it is important to enable in-situ monitoring of cutting processes while hyperspectral imaging can serve as a powerful tool. Cubic boron nitride (cBN) has extreme hardness and can provide improved wear resistance if mixed with other CTMs. Moreover, such materials can be used without cutting fluids, which helps to mitigate health risks in the workplace. The aim of the current work was to understand how well the current hyperspectral imaging technologies can track the changes in the performance of CTMs with the addition of cBN. This paper presents the results of multiple in-situ (obtained during cutting with a real lathe) and static (before or after cutting) tests performed with hyperspectral camera. The wear rate of CTMs and the roughness of workpieces were measured with the help of a scanning electron microscope and a 3D optical profiler respectively. The effect of cBN content and the effect of TiN or ZrO2 additives on the performance of alumina-based CTMs produced by spark plasma sintering technique is presented.Maksim AntonovPiotr KlimczykRahul KumarMart TamreAli ZahaviEstonian Academy Publishersarticlewear resistancehyperspectral imagingcubic boron nitridecutting testindustry 4.0automation.ScienceQENProceedings of the Estonian Academy of Sciences, Vol 70, Iss 4, Pp 524-532 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	wear resistance hyperspectral imaging cubic boron nitride cutting test industry 4.0 automation. Science Q
spellingShingle	wear resistance hyperspectral imaging cubic boron nitride cutting test industry 4.0 automation. Science Q Maksim Antonov Piotr Klimczyk Rahul Kumar Mart Tamre Ali Zahavi Performance of Al2O3-cBN materials and the perspective of using hyperspectral imaging during cutting tests
description	The performance of cutting tool materials (CTMs) influences the quality and lifetime of the parts produced using these tools. Unexpected fracturing or other failures of the tools lead to defects of the parts, which accelerates material fatigue and fracture processes. For the purpose of Industry 4.0 and future generations of factories, it is important to enable in-situ monitoring of cutting processes while hyperspectral imaging can serve as a powerful tool. Cubic boron nitride (cBN) has extreme hardness and can provide improved wear resistance if mixed with other CTMs. Moreover, such materials can be used without cutting fluids, which helps to mitigate health risks in the workplace. The aim of the current work was to understand how well the current hyperspectral imaging technologies can track the changes in the performance of CTMs with the addition of cBN. This paper presents the results of multiple in-situ (obtained during cutting with a real lathe) and static (before or after cutting) tests performed with hyperspectral camera. The wear rate of CTMs and the roughness of workpieces were measured with the help of a scanning electron microscope and a 3D optical profiler respectively. The effect of cBN content and the effect of TiN or ZrO2 additives on the performance of alumina-based CTMs produced by spark plasma sintering technique is presented.
format	article
author	Maksim Antonov Piotr Klimczyk Rahul Kumar Mart Tamre Ali Zahavi
author_facet	Maksim Antonov Piotr Klimczyk Rahul Kumar Mart Tamre Ali Zahavi
author_sort	Maksim Antonov
title	Performance of Al2O3-cBN materials and the perspective of using hyperspectral imaging during cutting tests
title_short	Performance of Al2O3-cBN materials and the perspective of using hyperspectral imaging during cutting tests
title_full	Performance of Al2O3-cBN materials and the perspective of using hyperspectral imaging during cutting tests
title_fullStr	Performance of Al2O3-cBN materials and the perspective of using hyperspectral imaging during cutting tests
title_full_unstemmed	Performance of Al2O3-cBN materials and the perspective of using hyperspectral imaging during cutting tests
title_sort	performance of al2o3-cbn materials and the perspective of using hyperspectral imaging during cutting tests
publisher	Estonian Academy Publishers
publishDate	2021
url	https://doaj.org/article/99e1a548b9b040c5a75babb40b678e80
work_keys_str_mv	AT maksimantonov performanceofal2o3cbnmaterialsandtheperspectiveofusinghyperspectralimagingduringcuttingtests AT piotrklimczyk performanceofal2o3cbnmaterialsandtheperspectiveofusinghyperspectralimagingduringcuttingtests AT rahulkumar performanceofal2o3cbnmaterialsandtheperspectiveofusinghyperspectralimagingduringcuttingtests AT marttamre performanceofal2o3cbnmaterialsandtheperspectiveofusinghyperspectralimagingduringcuttingtests AT alizahavi performanceofal2o3cbnmaterialsandtheperspectiveofusinghyperspectralimagingduringcuttingtests
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Performance of Al2O3-cBN materials and the perspective of using hyperspectral imaging during cutting tests

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