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Cutting Insert Wear Analysis Using Industry 4.0

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Mechatronics 2017 (MECHATRONICS 2017)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 644))

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Abstract

Thread whirling technology is a compromise between surface quality and machining productivity. Grinding technology can be replaced in the production process by turning. The aim of this study is to analyze the wear of a cubic boron nitride tool used for machining ball screws by visualization in a virtual reality environment. Using electron microscopy, contactless profilometer and atomic force microscope, data were obtained in detail describing the topography and morphology of the surface of the blade fracture which allowed the generation of a 3D model of a worn cutting tool for display in CAVE (virtual reality). Due to the detailed analysis, the problem of machining has been determined, namely the low cutting speed. The whole process of optimization has been accelerated by virtual reality that has enabled the measured data to be displayed at one point and in one place.

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Acknowledgment

This work is an output of research and scientific activities of NETME Centre, supported through project NETME CENTRE PLUS (LO1202) by financial means from the Ministry of Education, Youth and Sports “National Sustainability Programme I”.

The article was supported by project no. FEKT-S-17-3934, Utilization of novel findings in micro and nanotechnologies for complex electronic circuits and sensor applications.

This research work was supported by the BUT, Faculty of Mechanical Engineering, Brno, Specific research 2016, with the grant “Research of modern production technologies for specific applications”, FSI-S-16-3717 and technical support of Intemac Solutions, Ltd., Kurim.

The article was supported by KSK Precise Motion, a.s.

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Correspondence to Tomas Prokes .

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Prokes, T., Mouralova, K., Kovar, J., Zahradnicek, R., Andrs, O. (2018). Cutting Insert Wear Analysis Using Industry 4.0. In: Březina, T., Jabłoński, R. (eds) Mechatronics 2017. MECHATRONICS 2017. Advances in Intelligent Systems and Computing, vol 644. Springer, Cham. https://doi.org/10.1007/978-3-319-65960-2_18

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  • DOI: https://doi.org/10.1007/978-3-319-65960-2_18

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-65959-6

  • Online ISBN: 978-3-319-65960-2

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