Artificial neural networks using for solving of the tribological problems
DOI:
https://doi.org/10.15407/mom2019.03.003Keywords:
structural steel, hardening temperature, wear resistance, contact interaction surface, modeling, artificial neural networksAbstract
The sclerometric studies of steel 40X after quenching from 860, 1050 ° C and high tempering showed the average microhardness increases with an increasing quenching temperature. On the scratches two types of microhardness maximum value are revealed. The first one (T1) are closest to each other. The average distance between them does not change practically depending on the temperature of quenching. The second (T2) are the maximums with a longer period, which increases and more clearly manifests itself with increasing quenching temperature. It is noted, that the determining factor of the microhardness cyclical changes with a T1 period are the grains and martensite packets boundaries, and with T2 period are the uneven carbon distribution, which increases with increasing quenching temperature. The influence of hardening temperature on the wear resistance of 40X steel after improvement is investigated. It was revealed that quenching from 1050 ° C and high tempering increase its tribological characteristics, as well as reduce the wear rate of the counterbody compared with standard heat treatment. The nature of the destruction of contact surfaces is studied. It has been shown, that in improved samples hardened from 860 ° C, it occurs according to the cleaving and smooth delamination mechanisms with plastic deformation. The nature destruction of the contact interaction surface is changes with the temperature quenching increasing to 1050 ° C and with high tempering. The microstructure’s areas with greater then surrounding volume fracture resistance during friction are identified. The structural-geometric parameters characterizing the roughness and bearing capacity of the contact interaction surface are analyzed. The temperature quenching increasing to 1050 ° C reduce its roughness and increase the surface reference curve, which characterizing its bearing capacity. The possibility of using artificial neural networks to predict the tribological properties of structural steels are considered. Based on the results of modeling the structural and geometric parameters of the surface an analysis is made of the bearing capacity of the contact surface of 40X steel samples depending on the hardening temperature.
References
Kogaiev V.P. Drozdov Yu.N. Prochnost i isnosostoikost' detalei mashin (The strength and wear resistance of machine parts), Moscow: Visshaia shkola, 1991, 319 p. [in Russian].
Dzhost P. Mirovye dostizhenija v oblasti tribologii. Trenie i iznos (World achievements in the tribology. Friction and wear), 1986. Vol. 7, No 4, pp. 593-603 [in Russian].
Pronikov A.S. Parametricheskaja nadezhnost mashin (Machine parametric reliability), Moscow: Izdatel'stvo MGTU im. N.Je. Baumana, 2002, 560 p. in Russian].
Garkunov D.N. Tribotehnika (konstruirovanie, izgotovlenie i jekspluatacija mashin) (Tribotechnics (design, manufacture and operation of the machine)), Moscow: Izdatelstvo MSHA, 2002, 632 p. [in Russian].
Chichinadze A.V., D.Braun Je., Bushe N.A. Osnovy tribologii (trenie, iznos, smazka): Uchebnik dlja tehnicheskih vuzov (Fundamentals of Tribology (friction, wear, lubrication): Textbook for technical universities), Moscow: Mashinostroenie, 2001, 664 p. [in Russian].
Bahodur S., Problemy treniia i smazki, 1978, No 2, pp. 1-4 [in Russian].
Dzhost P., Trenie i iznos, 1991, Vol.12, No 3, pp. 10-15. [in Russian].
Durjagіna Z., Tkachenko P., Mashinoznavstvo, 2002, No 2 (56), pp. 29-31 [in Ukrainian].
Hajkin S. Nejronnye seti: polnyj kurs (Neural networks: full course), Moscow: Ltd «I.D. Viljams», 2006, 1104 p. [in Russian].
Aksenov S.V., Novosel’tsev V.B. Organizaciia i ispol'zovanie neironnyh setei (metody i tehnologii) (Organization and neural networks using (methods and technologies)), Tomsk: Izdatelstvovo HTJI, 2006, 128 p. [in Russian].
Pronin S.V., Avtomobilnyj transport: sb. nauch. trudov, Kharkov, 2006, No 18, pp. 123-125 [in Russian].
Kozlov E.V., Popova N.A., Tihonkova O.V., Klimashin S.I., Cellermaer V.V., Gromov V.E., Fundamentalnye problemy sovremennogo materialovedeniia, 2005, Vol.2, No 1, pp.118-123 [in Russian].
Ivanov Yu.F., Kozlov E.V., Fundamental'nye problemy sovremennogo materialovedeniia, 2006. Vol. 3, No 3, pp. 61-68 [in Russian].
GOST 21318-82. Izmenenie mikrotverdosti carapaniem almaznymi nakonechnikami (Microhardness changing by scratching with diamond tips), Moscow: Izd-vo standartov, 1983, 24 p. [in Russian].
Volosevich P.Yu., Bespalov S.A., Metallofizika i novejshie tehnologii, 2004. Vol. 26, No 3. pp. 343-359. [in Russian].
Volosevich P.Yu., Bespalov S.A., Metallofizika i novejshie tehnologii, 2006, Vol. 28, No 12, pp. 1629-1638 [in Russian].
Volosevich P.Yu., Bespalov S.A., Metallofizika i novejshie tehnologii, 2004, Vol. 26, No 5, pp 691-701 [in Russian].
Yakovleva S.P., Maharova S.N., Vinokurov G.G., Mordovskoi P.G., Struchkov N.F. Fundamentalnye issledovanija. Razdel «Tehnicheskie nauki», 2013, Vol. 10 (15), pp. 3451-3455, [in Russian].
Morozova N.A. (2005) Povyshenie iznosostojkosti cilindricheskih poverhnostej detalej mashin vibroudarnym plasticheskim uprochneniem [Improving the wear resistance of cylindrical surfaces of machine parts by vibroshock plastic hardening] Candidate’s thesis. Novosibirsk: Siberian State University of Railway Engineering [in Russian].
Matveev V.V., Avtomaticheskaia svarka, 2005, No 6, pp. 42-48 [in Russian]. https://doi.org/10.1007/s11182-005-0153-7
Tkachenko R.O., Tehnіchnі vіstі ,1991, No 1(8), 2(9). pp. 41–42 [in Ukrainian].
Surface roughness – Part 1: Surface and its parameters, ISO 4287/1, 1984 [in English].
Rules and procedures for the measurement of surface parameters. ISO 4288, 1985 [in English].
Lonardo P.M., Trumpld H., Chiffre L. Progress in 3D Surface Microtopography Characterization. Analis of the CIRP. 1996, V. 45/2. pp.11-23 [in English].https://doi.org/10.1016/S0007-8506(07)60513-7
Muhamedov A.A., Metallovedenie i termicheskaja obrabotka metallov, 1968, No 7, pp. 31-34 [in Russian].
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2019 V.M. Uvarov, S.A. Bespalov
This work is licensed under a Creative Commons Attribution 4.0 International License.
