Open Access
Issue
MATEC Web Conf.
Volume 298, 2019
International Conference on Modern Trends in Manufacturing Technologies and Equipment: Mechanical Engineering and Materials Science (ICMTMTE 2019)
Article Number 00135
Number of page(s) 10
DOI https://doi.org/10.1051/matecconf/201929800135
Published online 18 November 2019
  1. S. Lukina, Formation of the system of the local indicators to assess the quality of the cutting tool at the stage of technical training of production, Metal Working and Material Science, 4, pp. 43-50 (2015). [Google Scholar]
  2. S.V. Lukina, Modeling of stresses-deformed state of inserted cutting tools during their production and operation, Avtomatizatsiya i Sovremennye Tekhnologii, 4, p. 27 (2001). [Google Scholar]
  3. L. T. De Luca, Propulsion physics (EDP Sciences, Les Ulis, 2009) [Google Scholar]
  4. A. P. Kuznetsov, M. G. Kosov, Classification of typical types of temperature deformations of metal-cutting machines, STIN, 9, pp 13-19 (2013) [Google Scholar]
  5. A. P. Kuznetsov, M. G. Kosov, Structural thermophysical analysis of metal-cutting machines, Russian Engineering Research, 31(6), pp 599–606 (2011) [Google Scholar]
  6. S.V. Lukina, V.M. Makarov, M.В. Krutyakova, Study of deformations of teeth of round tensions by the method of final elements, STIN, 11, p 11 (2005) [Google Scholar]
  7. O. Zenkevich, Finite element method in engineering (Mir, Moscow, 1975) [Google Scholar]
  8. D.M. Himmelblau, Process analysis by statistical methods, (John Wiley and Sons, New York, 1970) [Google Scholar]
  9. N.G. Bourago, V.N. Kukudzhanov, A review on contact algorithms, A Journal of Russian Academy of Sciences. Mechanics of Solids, 1, pp 45–87 (2005) [Google Scholar]
  10. V.V. Nalimov, N.A. Chernova, Statistical methods of planning of extreme experiments (Nauka, Moscow, 1965) [Google Scholar]
  11. D.H. Norrie, G. de Vries, The Finite Element Method. Fundamentals and Applications (Academic Press, New York, 1973) [Google Scholar]
  12. L.J. Sigerlind, Applied Finite Element Analysis (John Wiley and Sons, New York, 1984) [Google Scholar]
  13. P. G. Ciarlet, L. Gratie, C. Mardare, Methods in elasticity: a mathematical survey, Discrete and continuous dynamical systems, 23(1-2) , pp 133–164 (2009) [CrossRef] [Google Scholar]
  14. K. Teferra, S. R. Arwade, G. Deodatis, Generalized variability response functions for two-dimensional elasticity problems, Computer Methods in Applied Mechanics and Engineering, 272, pp 121-137 (2014) [CrossRef] [Google Scholar]
  15. L. Graham, G. Deodatis, Variability response functions for stochastic plate bending problems, Structural Safety, 20(2), pp 167-188 (1998) [CrossRef] [Google Scholar]
  16. Moaz H. Ali, Finite Element Analysis is A Powerful Approach To Predictive Manufacturing Parameters, Journal of Babylon University/Engineering Sciences, 26 (1), 229-238 (2018) [Google Scholar]
  17. V.A. Chekanin, A.V. Chekanin, Packing compaction algorithm for problems of resource placement optimization, Lecture Notes in Mechanical Engineering, pp 1-9 (2019) [Google Scholar]
  18. J.F. Goncalves, M.G.C. A biased random key genetic algorithm for 2D and 3D bin packing problems, Int J Prod Econ, 145 (2), pp 500-510 (2013) [Google Scholar]
  19. A. Bortfeldt, G. Wascher, Constraints in container loading—a state-of-the-art review, EJOR 229(1), pp 1–20 (2013) [CrossRef] [Google Scholar]
  20. G Wascher, H Haubner, H Schumann, An improved typology of cutting and packing problems, EJOR 183(3), pp 1109–1130 (2007) [CrossRef] [Google Scholar]
  21. M.A.A. Martinez, F. Clautiaux, M. Dell’Amico, M. Iori, Exact algorithms for the bin packing problem with fragile objects. Discrete Optim 10(3), pp 210–223 (2013) [CrossRef] [Google Scholar]
  22. S.C.H. Leung, D.F. Zhang, C.L. Zhou, T. Wu, A hybrid simulated annealing metaheuristic algorithm for the two-dimensional knapsack packing problem, Comput Oper Res 39(1), pp 64–73 (2012) [CrossRef] [Google Scholar]
  23. Y.Q. Gao, H.B. Guan, Z.W. Qi, Y. Hou, L. Liu, A multi-objective ant colony system algorithm for virtual machine placement in cloud computing, J Comput Syst Sci 79(8), pp 1230–1242 (2013) [CrossRef] [MathSciNet] [Google Scholar]
  24. I KierkoszI, M Luczak, A hybrid evolutionary algorithm for the two-dimensional packing problem, Cent Eur J Oper Res 22(4), pp 729–753 (2014) [CrossRef] [Google Scholar]
  25. D.E. Motorin, S.G. Popov, M.V. Chuvatov, M.V. Kurochkin, L.M. Kurochkin, A study of the evaluation function for the cost of transport operations in distribution of purpose in a group of robots, Proceedings of 2017 20th IEEE international conference on soft computing and measurements (SCM 2017), pp 536–538 (2017) [Google Scholar]
  26. G. Strang, Approximation in the Finite Element Method, Numerische Mathematik, 19, pp 81-98 (1972) [CrossRef] [Google Scholar]
  27. G. Strang, G. Fix, An analysis of the finite element method (Wellesley-Cambridge Press, USA, 2008) [Google Scholar]
  28. M.G. Kosov, K.A. Simanzhenkov, M.A. Ametova, Comparative evaluation of the accuracy of the finite element method and the method of response functions, Vestnik MSTU Stankin, 3, pp 106–111 (2018) [Google Scholar]
  29. M.G. Kosov, G.I. Tsarev, V.N. Balabolin, I.M. Tolkacheva, V.G. Mitrofanov, A.V. Captanov, Excrement planning in the calculation of its own deformations in modeling the accuracy of process equipment (Janus-K, Moscow, 2017) [Google Scholar]
  30. M. G. Kosov, I. M. Tolkacheva, L. V. Feoktistova, Method of function answerback in the computation of the metal-cutting machines parts thermal behavior, Tekhnologiya Mashinostroeniya, 8, pp 16–20 (2015) [Google Scholar]
  31. M.G. Kosov, A.A. Korzakov, Modeling of contact parts stiffness with regard to the roughness relief of their surface, STIN, 12, pp 23-25 (2003) [Google Scholar]
  32. M.G. Kosov, A.A. Korzakov, Modeling of contact hardness of surfaces, Vestn MSTU Stankin, 2, pp 6-10 (2008) [Google Scholar]
  33. S.V. Lukina, M.V. Krutyakova, M.R. Rybakova, Modeling and study of stress-strain state of axial cutting tools with numerical finite element method in CAD/CAM/CAE/PDM-System Solidworks, Tekhnologiya Mashinostroeniya, 10, pp 2431-2435 (2013) [Google Scholar]

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