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One of the main problems of machining of moulds is the need for an effective monitoring system of wear of cutting tools. This paper presents the results of coordinate measurements of a cutting tool which were obtained by using the non-contact measuring system based on the ACCURA II coordinate measuring machine equipped with the LineScan laser measuring probe and the Calypso metrology software. Investigations were carried out for several measurement strategies including different measurement resolutions and scanning speeds. The results of the coordinate measurements obtained by using the above-mentioned coordinate measuring system were compared to the reference data measured by means of the InfiniteFocus microscope. The measurement results were analysed by means of two software packages: Focus Inspection and Zeiss Reverse Engineering. The point clouds measured by using the LineScan probe were characterized by the selected deviation statistics equal to 4-6 μm when a good match between measurement points and the reference data was obtained. Moreover, these statistics mainly depend on the measurement resolution. The results of the performed experimental research allowed for drawing conclusions concerning the significance of the effect of the adopted measurement strategies on the results of the non-contact coordinate measurements of the selected cutting tool. The application of the non-contact coordinate measurements to the above-mentioned measurement task may contribute to the development of regeneration methods for cutting tools applied for mould manufacturing.
Czasopismo
Rocznik
Tom
Strony
121--127
Opis fizyczny
Bibliogr. 23 poz., il., tab., wykr.
Twórcy
autor
- Rzeszów University of Technology, Faculty of Mechanical Engineering and Aeronautics, Rzeszów, Poland
autor
- Rzeszów University of Technology, Faculty of Mechanical Engineering and Aeronautics, Rzeszów, Poland
autor
- Rzeszów University of Technology, Faculty of Mechanical Engineering and Aeronautics, Rzeszów, Poland
Bibliografia
- [1] Boujelbene, M., Moisan, A., Tounsi, N. & Brenier, B. (2004). Productivity enhancement in dies and molds manufacturing by the use of C1 continuous tool path. International Journal of Machine Tools and Manufacture. 44(1), 101-107. https://doi.org/10.1016/j.ijmachtools.2003.08.005.
- [2] Pastirčák, R. & Urgela, D. (2011). Device for production of prototype moulds by milling. Archives of Foundry Engineer ing. 11(spec.1), 45-50. ISSN (1897-3310).
- [3] Chemezov, D., Kartsev, A., Komissorov, A., Kanishchev, I., Moiseev, I., Polikarpov, E. & Kalinin, A. (2019). Designing and manufacturing of shaping parts of a die mould. ISJ Theoretical & Applied Science. 73(5), 461-466. https://dx.doi.org/ 10.15863/TAS.2019.05.73.70.
- [4] Krivoš, E., Pastričák, R. & Lehocký, P. (2014). Using of the reverse engineering method for the production of prototype molds by patternless process technology. Archives of Foundry Engineering. 14(2), 115-118. ISSN (1897-3310).
- [5] Maohua, X., Zhenim, S., Xiaojie, S., Liping, S. & Jing, Z. (2019). Research on 3D reconstruction technology of tool wear area. Manufacturing Technology. 19(2), 345-349. DOI: 10.21062/ujep/294.2019/a/1213-2489/MT/19/2/345.
- [6] Zachert, C., Lakner, T., Greschert, R., Schraknepper, D. & Bergs, T. (2022). Influence of the tool wear on the quality and service life of gears for the geared turbofan technology machined by five-axis milling. Journal of Engineering for Gas Turbines and Power. 144(6), 061005. https://doi.org/10.1115/ 1.4053911.
- [7] Oliaei, S.N.B. & Karpat, Y. (2016). Influence of tool wear on machining forces and tool deflections during micro milling. International Journal of Advanced Manufacturing Technology. 84, 963-1980. DOI 10.1007/s00170-015-7744-4.
- [8] Ali, S.M. & Dhar, N.R. (2010). Tool wear and surface roughness prediction using an artificial neutral network (ANN) in turning steel under minimum quantity lubrication (MQL). International Journal of Mechanical and Mechatronics Engineering. 4(2), 250-259. DOI: doi.org/10.5281/zenodo.1332488.
- [9] Rehorn, A.G., Jiang, J. & Orban, P.E. (2005). State-of-the-art methods and results in tool condition monitoring: a review. The International Journal of Advanced Manufacturing Technology. 26, 693-710. https://doi.org/10.1007/s00170-004-2038-2.
- [10] Dutta, S., Pal, S.K., Mukhopadhyay, S. & Sen, R. (2013). Application of digital image processing in tool condition monitoring: A review. CIRP Journal of Manufacturing Science and Technology. 6(3), 212-232. DOI: 10.1016/j.cirpj.2013.02.005.
- [11] Daicu, R. & Oancea, G. (2022). Methodology for measuring the cutting inserts wear. Symmetry. 14(3), 469, 1-28. DOI:10.3390/sym14030469.
- [12] Čerče, F., Pušavec, F. & Kopač, J. (2018). A new approach to spatial tool wear analysis and monitoring. Strojniški vestnik - Journal of Mechanical Engineering. 61(9), 489-497. https://doi.org/10.5545/sv-jme.2015.2512.
- [13] Kuttolamadom, M.A., Laine Mears, M. & Kurfess, T.R. (2012). On the volumetric assessment of tool wear in machining inserts with complex geometries-Part 1: Need, Methodology, and Standardization. Journal of Manufacturing Science and Engineering. 134(5), 051002. https://doi.org/10.1115/1.4007294.
- [14] Khanna, N., Agrawal, C., Dogra, M. & Pruncu, C.I. (2020). Evaluation of tool wear, energy consumption, and surface roughness during turning of Inconel 718 using sustainable machining technique. Journal of Materials Research and Technology. 9(3), 5794-5804. https://doi.org/10.1016/j.jmrt.2020.03.104.
- [15] Danzl, R., Helmli, F. (2017). Automatic 3D evaluation of cutting edge quality by focus variation. In Automatische 3D-Auswertung der Schneidkantenqualitat durch Fokus-Varia-tion, February 2017 (pp.165-173). (in German).
- [16] Hocken, R.J., Pereira, P.H. (2011). Coordinate measuring machines and systems, Manufacturing Engineering and Materials Processing. CRC Press, Taylor & Francis, 2nd edition.
- [17] Budzik, G., Marciniec, A., Markowski, T., Oleksy, M. & Cygnar, M. (2009). The geometrical precision of the silicone matrices to the manufacturing of the models of the gear. Archives of Foundry Engineering. 9(2), 137-142. ISSN (1897-3310).
- [18] Gapiński, B., Grzelka, M., Marciniak, L., Mądry, Ł. & Stachowiak, T. (2011). Measurement of large-size casting geometry of the CMM. Archives of Foundry Engineering. 11(2), 19-22. ISSN (1897-3310).
- [19] Majstorovic, V.D., Durakbasa, N., Takaya, Y., Stojadinovic, S. (2019). Advanced manufacturing metrology in context of industry 4.0 Model. In Proceedings of the 12th International Conference on Measurement and Quality Control – Cyber - Physical Issue.(pp. 1-11). Belgrade, Serbia.
- [20] Magdziak, M. (2020). Determining the strategy of contact measurements based on results of non-contact coordinate measurements. Procedia Manufacturing. 51, 337-344. DOI:10.1016/j.promfg.2020.10.048.
- [21] Colosimo, B.M., Gutierrez Moya, E., Moroni, G. & Petrò, S. (2008). Statistical sampling strategies for geometric tolerance inspection by CMM. Economic Quality Control. 23(1), 109-121.
- [22] Moroni, G., Petrò, S. (2011). Coordinate Measuring Machine Measurement Planning, In B. Colosimo & N. Senin, Geometric Tolerances (pp.111-158). Springer, London.
- [23] He, G., Sang, Y., Pang, K. & Guangiming, S. (2018). An improved adaptive sampling strategy for freeform surface inspection on CMM. International Journal of Advanced Manufacturing Technology. 96, 1521-1535.
Uwagi
Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023)
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-15d97299-adbb-43b2-b65b-5c41244f33ce