Open Access
Issue
MATEC Web Conf.
Volume 129, 2017
International Conference on Modern Trends in Manufacturing Technologies and Equipment (ICMTMTE 2017)
Article Number 01032
Number of page(s) 4
Section Modern Manufacturing Technologies, Tools and Equipment
DOI https://doi.org/10.1051/matecconf/201712901032
Published online 07 November 2017
  1. A. Samraj, S. Sayeed, J. Emerson Raja, J. Hossen, A. Rahman, Dynamic clustering estimation of tool flank wear in turning process using SVD models of the emitted sound signals, World Academy of Science, Engineering and Technology 80, pp. 1322–1326 (2011) [Google Scholar]
  2. V.F. Bezjazychnyj, B.M. Drapkin, M.A. Prokofiev, M.V. Timofeev, Research of stored energy of deformation by metal during indentation by sphere indenter [Issledovanie zapasennoi metallom energii deformatsii pri vdavlianii charovogo indentora], Zavodskaya labortoriya. Diagnostika materialov [Factory laboratory. Material diagnostics], no.4, t.71, pp.32-35 (2005) [Google Scholar]
  3. V.F. Bezjazychnyj, M.A. Prokofiev, A.N. Sutyagin, Technological Assurance of Wear Resistance of Surface Layer of Machine Parts After Turning, Russian Internet Journal of Industrial Engineering, Vol. 2, No 4, pp. 42–46. (2014) (http://indust-engineering.ru/) [Google Scholar]
  4. I.R. Dobrovinskiy, Yu.T. Medvedik., M.Yu. Medvedik, V.S. Chapaev, Povolzhskiy region. Tekhnicheskie nauki, Izvestiya vysshikh uchebnykh zavedeniy. [University proceedings. Volga region. Engineering sciences], No 2 (26), pp. 59–70 (2013) [Google Scholar]
  5. M.P. Kozochkin, Influence of Machine_Tool Dynamics on the Vibration in Cutting. Russian Engineering Research, Vol. 34, No 9, pp. 573–577 (2014) [Google Scholar]
  6. M.P. Kozochkin, Nonlinear cutting dynamics. Russian Engineering Research, 32 (4), (2012 (13) [Google Scholar]
  7. M.P. Kozochkin, A.R. Maslov, and A.N. Porvatov, Information-measurement and control systems for force and vibroacoustic parameters, Measurement Techniques, Vol. 58, No 8, pp. 839–844 (2015) [Google Scholar]
  8. M.P. Kozochkin, A.N. Porvatov, Effect of Adhesion Bonds in Friction Contact on Vibroacoustic Signal and Autooscillations, Journal of Friction and Wear, Vol. 35, No 5, pp. 389–395 (2014) [Google Scholar]
  9. M.P. Kozochkin, M.A. Volosova, D.G. Allenov Effect of wear of tool cutting edge on detail surface layer deformation and parameters of vibro-acoustic signals, Materials Science Forum, Vol. 876, pp 50–58 (2016) [Google Scholar]
  10. V.S. Muhin, Poverhnost: tehnologicheskie aspekty prochnosty detaley GTD. (Moscow: Nauka, 2005) [Google Scholar]
  11. S. Orhan, A. Osman Er, N. Camus-cu, E. Aslan, Tool wear evaluation by vibration analysis during end milling of AISI D3 cold work tool steel with 35 HRC hardness, NDT&E International 40, pp. 121–126 (2007) [Google Scholar]
  12. A.S. Sidorov, Monitoring i prognozirovanie iznosa rezhushchego instrumenta v mekhatronnykh stanochnykh sistemakh [Monitoring and forecasting tool wear in mechatronic machine systems], Abstract of dissertation for the degree of Candidate of Technical Sciences (Ufa, 2007) [Google Scholar]
  13. V.K. Starkov, Dislokatsionnye predstavleniya o rezanii metallov [Dislocation representations about metal cutting] (Mashinostroenie, Moscow, 1979) [Google Scholar]
  14. A.G. Suslov, Technologicheskoe obespechenie parametrov sostoyaniya poverchnostnogo sloya [Technological assurance of surface layer quality parameters] (Mashinostroenie, Moscow, 1987) [Google Scholar]
  15. Q. Wang, Q. Bai, J. Chen, Y. Sun, Y. Guo, Y. Liang, Subsurface defects structural evolution in nano-cutting of single crystal copper, Appl, Surf Sci.; 344, pp. 38–46 (2015) [Google Scholar]
  16. Werkstuchklassifizierung und auswahl fur ein flexibles//Fertigungssystem Madrich. Oberkochen H. «Werkstatts technik» 71. no-8. p. 485–489 (1981) [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.