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Parameter's optimization of surface plastic deformation corrosion-resistant steel by computer simulation

Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
The knurling of corrosion-resistant steel 95X18 (the nearest analog is AISI 440B, AISI 440C, AISI A756, DIN-1.4125, SUS440C, Z100CD17) simulation with finite element method is investigated in the paper. Diagram stresses, strains and displacement are calculated by using CAE system SolidWorks. Dependence of strengthening area on processing tools geometry and loaded force are investigated. We proposed the algorithm of knurling parameters optimization by using a computer simulation. The correlation between simulation and experimental data was found.
Rocznik
Strony
991--997
Opis fizyczny
Bibliogr. 7 poz., il. kolor., 1 fot., wykr.
Twórcy
  • Omsk State Technical University, Omsk, Russia
  • Omsk State Technical University, Omsk, Russia
  • Omsk State Technical University, Omsk, Russia
Bibliografia
  • [1] Lasitsa, A.M., Churankin, V.G., Morgunov, A.P.: Complex method of improving the physical and mechanical properties of the surface layer of structural steels, Technology of machine building, 5, 42-44, 2012 (in Russian).
  • [2] Spaggiari, A., Dragoni, E.: Effect of Mechanical Surface Treatment on the Static Strength of Adhesive Lap Joints, The Journal of Adhesion, 89(9), 677-696, 2012. DOI: 10.1080/00218464.2012.751526.
  • [3] Prasad, A.V.S.R.K., Rao, P.N., Rao, U.R.K.: Optimal selection of process parameters for turning operations in a CAPP system, International Journal of Production Research, 35(6), 1495-1522, 1997. DOI: 10.1080/002075497195083.
  • [4] Zhang, P., Kou, S., Lin, B., Wang, Y.: Optimization for radial knurling connection process of assembled camshaft using response surface method, Int. J. Adv. Manuf. Technol., 77, 653-661, 2015. DOI: 10.1007/s00170-014-6486-z.
  • [5] Li, A., Pang, J., Zhao, J., Zang, J., Wang, F.: FEM-simulation of machining induced surface plastic deformation and microstructural texture evolution of Ti-6Al-4V alloy, International Journal of Mechanical Sciences, 2017. DOI:10.1016/j.ijmecsci.2017.02.014.
  • [6] Feng, C.J., Wang, X.: Data mining techniques applied to predictive modeling of the knurling process, IIE Transactions, 36, 253-263, 2004. DOI: 10.1080/07408170490274214.
  • [7] Lasitsa, A.M., Churankin, V.G.: Dynamics of wear surface layers modified by complex treatment, Dynamics of Systems, Mechanisms and Machines, 1-4, 2014. DOI: 10.1109/Dynamics.2014.7005674.
Uwagi
Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2019).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-17a0147a-8a07-4961-8504-0b015dd39808
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