Publikace UTB
Repozitář publikační činnosti UTB

Effect of wear on the vibrating behaviour of the tool at turning CW724R alloy

Repozitář DSpace/Manakin

Zobrazit minimální záznam


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 gpantaz@elkeme.vionet.gr Anagnostis I. Toulfatzis ELKEME Hellenic Research Centre for Metals S.A., Greece atoulfatzis@elkeme.vionet.gr
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 -
Find Full text

Soubory tohoto záznamu

Zobrazit minimální záznam