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dc.title | Effect of wear on the vibrating behaviour of the tool at turning CW724R alloy | en |
dc.contributor.author | Monka, Peter Pavol | |
dc.contributor.author | Monková, Katarína | |
dc.contributor.author | Pantazopoulos, George | |
dc.contributor.author | Toulfatzis, Anagnostis I. | |
dc.relation.ispartof | 2022 13th International Conference on Mechanical and Aerospace Engineering, ICMAE 2022 | |
dc.identifier.isbn | 978-1-66547-235-7 | |
dc.date.issued | 2022 | |
dc.citation.spage | 51 | |
dc.citation.epage | 55 | |
dc.event.title | 13th International Conference on Mechanical and Aerospace Engineering, ICMAE 2022 | |
dc.event.location | Bratislava | |
utb.event.state-en | Slovakia | |
utb.event.state-cs | Slovensko | |
dc.event.sdate | 2022-07-20 | |
dc.event.edate | 2022-07-22 | |
dc.type | conferenceObject | |
dc.language.iso | en | |
dc.publisher | Institute of Electrical and Electronics Engineers Inc. | |
dc.identifier.doi | 10.1109/ICMAE56000.2022.9852878 | |
dc.relation.uri | https://ieeexplore.ieee.org/document/9852878 | |
dc.relation.uri | https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9852878 | |
dc.subject | brass alloy | en |
dc.subject | machining system response | en |
dc.subject | tool wear | en |
dc.subject | vibrations | en |
dc.description.abstract | The development of new materials and technologies also significantly affects traditional methods of component production, as it forces companies to increase the efficiency of the production process and thus remain competitive. This pressure also brings new challenges in the field of machining. The article deals with the influence of wear on the vibration behaviour of the tool when turning CW724R alloy. The aim of the research is to know the frequency response of the system to different sizes of tool wear, which causes deterioration of the quality of machined parts and instability of the entire cutting process. A specific method of artificial wear of cutting tool was applied to determine the vibration behaviour of a worn tool. To reduce the number of experimental measurements, the methodology of the orthogonal non-rotating composition plan was chosen. The matrix of two independent variables (cutting speed versus artificial wear) was selected to evaluate the relationships between them under conditions of the constant depth of cut and feed, which was processed by the multiple linear regression methodology. Finally, a dependence of vibrations on cutting speed and wear rate for evaluated material was plotted in a spatial graph. © 2022 IEEE. | en |
utb.faculty | Faculty of Technology | |
dc.identifier.uri | http://hdl.handle.net/10563/1011126 | |
utb.identifier.obdid | 43884306 | |
utb.identifier.scopus | 2-s2.0-85137262171 | |
utb.source | d-scopus | |
dc.date.accessioned | 2022-09-20T08:07:41Z | |
dc.date.available | 2022-09-20T08:07:41Z | |
utb.contributor.internalauthor | Monka, Peter Pavol | |
utb.contributor.internalauthor | Monková, Katarína | |
utb.fulltext.affiliation | Peter Pavol Monka FMT TU Kosice with a seat in Presov Slovakia FT UTB in Zlin Czech Republic ORCID 0000-0002-0963-5235 Katarina Monkova* FMT TU Kosice with a seat in Presov Slovakia FT UTB in Zlin Czech Republic ORCID 0000-0002-5153-346X George Pantazopoulos ELKEME Hellenic Research Centre for Metals S.A. Greece [email protected] Anagnostis I. Toulfatzis ELKEME Hellenic Research Centre for Metals S.A., Greece [email protected] | |
utb.fulltext.dates | - | |
utb.fulltext.references | [1] Jurko, J.; Panda, A.; Behun, M. Prediction of a new form of the cutting tool according to achieve the desired surface quality, Applied Mechanics and Materials. 2013, 268-270, 473-476. [2] Jerzy, J. et al. Diagnostics of CNC machine tool with R-Test system, Academic Journal of Manufacturing Engineering. 2014, 12/1, 56-60. [3] Filippov, A.V.; Filippova, E.O. Determination of cutting forces in oblique cutting. Appl. Mech. Mater. 2015, 756, 659-664. [4] Antic, A., Simunovic, G., Saric, T., Milosevic, M., Ficko, M., A model of tool wear monitoring system for turning. Technical Gazette, 20/2, 2013, 247-254. [5] Zetek, M., Zetkova, I.: Increasing of the cutting tool efficiency from tool steel by using fluidization method, 25th DAAAM Int. Symposium, Vienna, 100, 2015, 912-917. [6] Malotova, S. et al: Roughness Evaluation of the Machined Surface at Interrupted Cutting Process, Manufacturing Technology, 16/1, 2016, 168-173. [7] Markopoulos, A. P., Pressas, I. S., Papantoniou, I. G., Karkalos, N. E., Davim, J. P. Machining and machining modeling of metal matrix composites - A review, Modern manufacturing engineering, 2015, 99-141. [8] Twardowski, P. et al., Investigation of wear and tool life of coated carbide and cubic boron nitride cutting tools in high speed milling, Advances in Mechanical Engineering, 7/6, 2015, 1-9. [9] Tadahiro Wada, "Tool Wear of (Al, Cr, W, Si)-based-coated Cemented Carbide Tools in the Cutting of Hardened Steel," International Journal of Mechanical Engineering and Robotics Research, Vol. 11, No. 5, pp. 326-330, May 2022. DOI: 10.18178/ijmerr.11.5.326-330 [10] Thomas Küfner, Frank Döpper, Daniel Müller, and André Gerhard Trenz, "Predictive Maintenance: Using Recurrent Neural Networks for Wear Prognosis in Current Signatures of Production Plants," International Journal of Mechanical Engineering and Robotics Research, Vol. 10, No.11, pp. 583-591, November 2021. DOI: 10.18178/ijmerr.10.11.583-591 [11] Aadarsh Mishra, "Analysis of Relation between Friction and Wear," International Journal of Mechanical Engineering and Robotics Research, Vol. 3, No. 3, pp. 603-606, July 2014. [12] Govindan P and Vipindas M P, "Surface Quality Optimization in Turning Operations Using Taguchi Method-A Review," International Journal of Mechanical Engineering and Robotics Research, Vol. 3, No. 1, pp. 89-118, January 2014. [13] Stavropoulos P., Papacharalampopoulos, A, Vasiliadis, E., Chryssolouris, G., Tool wear predictability estimation in milling based on multisensorial data. Int J Adv Manuf Technol 82/1-4, 509-521. [14] Pitel, J.; Matiskova, D.; Marasova, D. A new approach to evaluation of the material cutting using the artificial neural networks. TEM Journal, 2019, 8(2), 325-332. [15] Panda, A., et al. Advantages and effectiveness of the powder metallurgy in manufacturing technologies. Metalurgija, 2018, 57/4, 201763, 353-356. [16] Lehocka, D., et al. Evaluation of possibility of AISI 304 stainless steel mechanical surface treatment with ultrasonically enhanced pulsating water jet. Lecture Notes in Mechanical Engineering, 2019, 163-172. [17] Eric Dimla, "Development of an Innovative Tool Wear Monitoring System for Zero-Defect Manufacturing,", International Journal of Mechanical Engineering and Robotics Research, Vol. 7, No. 3, pp. 305-312, May, 2018. DOI: 10.18178/ijmerr.7.3.305-312 [18] Kuyucak, S.; Sahoo, M. A review of the machinability of copper-base alloys. Can. Metall. Q. 1996, 35, 1–15. [19] Pantazopoulos, G. Leaded brass rods C38500 for automatic machining operations. J. Mater. Eng. Perform. 2002, 11, 402–407. [20] Gane, N. The effect of lead on the friction and machining of brass. Philos. Mag. 1981, 43, 545–566. [21] Garcia, P.; Rivera, S.; Palacios, M.; Belzunce, J. Comparative study of the parameters influencing the machinability of leaded brasses. Eng. Fail. Anal. 2010, 17, 771–776. [22] Stavroulakis, P.; Toulfatzis, A.I.; Pantazopoulos, G.A.; Paipetis, A.S. Machinable Leaded and Eco-Friendly Brass Alloys for High Performance Manufacturing Processes: A Critical Review. Metals 2022, 12, 246. https://doi.org/ 10.3390/met12020246 [23] Baron, P.; Dobransky, J.; Pollak, M.; Kocisko, M.; Cmorej, T. The parameter correlation of acoustic emission and high-frequency vibrations in the assessment process of the operating state of the technical system. Acta Mechanica et Automatica, 2016, 10/2, 112-116. [24] Filippov, A.V.; et al. Vibration and acoustic emission monitoring the stability of peakless tool turning: Experiment and modeling. J. of Materials Processing Technology, 2017, 246, 224-234. | |
utb.fulltext.sponsorship | The article was prepared thanks to the support of the Ministry of Education, Science, Research, and Sport of the Slovak Republic through the grants APVV-19-0550 and KEGA 005TUKE-4/2021. | |
utb.scopus.affiliation | Fmt Tu Kosice with A Seat, Presov, Slovakia; Ft Utb, Zlin, Czech Republic; Elkeme Hellenic Research Centre for Metals S. A., Greece | |
utb.fulltext.projects | APVV-19-0550 | |
utb.fulltext.projects | KEGA 005TUKE-4/2021 | |
utb.fulltext.faculty | Faculty of Technology | |
utb.fulltext.faculty | Faculty of Technology | |
utb.fulltext.ou | - | |
utb.fulltext.ou | - | |
utb.identifier.jel | - |