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Vibration diagnostics of spiroid gear

Treść / Zawartość
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Spiroid gear is one of the progressive varieties of intersecting axis gears. It has a number of advantages: increased overlap coefficient, favourable contact conditions. Spiroid gears are notable for high loading and overloading ability, increased smooth running and less sensitivity to manufacturing and assembly errors, high reliability and durability. The analysis of the results of experiment on research of vibration of the spiroid gear PS-124 has shown, that the vibration level at frequency 200-300 Hz is reduced on 5 dB at increase of the resistance moment up to 1000 Nm at clockwise rotation of the reducer and at increase of the resistance moment up to 800 Nm at counter-clockwise rotation of the reducer. The vibration level at frequency 700-800 Hz is also increased on 5 dB at increase of the resistance moment up to 1000 Nm at clockwise rotation of the reducer and at increase of the resistance moment up to 800 Nm. If these vibration levels are exceeded, a defect is likely to occur. Economic efficiency of application of diagnostics systems is caused by increase of reliability and quality, reduction of accidents, decrease in defects, reduction of idle time of expensive equipment, reduction of expenses for maintenance and repair.
Słowa kluczowe
Wydawca
Rocznik
Tom
Strony
69--73
Opis fizyczny
Bibliogr. 28 poz., rys., tab.
Twórcy
autor
  • Kalashnikov Izhevsk State Technical University Student Street 7, Izhevsk, 426069 Udmurt republic, Russia
autor
  • Slovak University of Technology Faculty of Materials Science and Technology Institute of Applied Informatics, Automation and Mechatronics Jána Bottu č. 2781/25, 917 24 Trnava, Slovak Republic
  • Kostroma State Agricultural Academy Department Repair and Basics of Machine Design Training town 34, Kostroma region, Karavaevo 156530, Russia
Bibliografia
  • [1] Y.G. Lei, J. Lin, M.J. Zou, Z.J. He. “Condition monitoring and fault diagnosis of planetary gearboxes: a review ”. Measurement, 48, 2014, pp. 292-305.
  • [2] Е.S. Trubachev, V.N. Anferov, I.V. Shishlova. “Calculation of Forces in Spiroid Gearing Using the Results of Physical Modeling”. Vestnik IzhGTU imeni M.T. Kalashnikova, 2021, vol. 24, no. 2, pp. 77-84 (in Russ.). doi: 10.22213/2413-1172-2021-2-77-84.
  • [3] S. Maláková, P. Frankovský, D. Harachová, V. Neumann. “Design of construction optimisation determined for mixed truck gearbox”. Ad Alta: Journal of Interdisciplinary Research, 9(2), 2019.
  • [4] S. Maláková, M. Puškár, P. Frankovský, S. Sivák, M. Palko, M. Palko. “Meshing Stiffness – A Parameter Affecting the Emission of Gearboxes”. Applied Sciences, 10(23), 2020, 8678.
  • [5] M. Saga, V. Bulej, N. Cubonova, I. Kuric, I. Virgala, M. Eberth. “Case study: Performance analysis and develop-ment of robotized screwing application with integrated vision sensing system for automotive industry” International Journal of Advanced Robotic Systems, Vol. 17, Issue 3, doi: 10.1177/1729881420923997
  • [6] I.A. Pushkarev, A.V.Ovsyannikov. “Research of Load Distribution on Rollers of the K-H-V Planetary Gear”. Vestnik IzhGTU imeni M.T. Kalashnikova, 2021, vol. 24, no. 1, pp. 31-37 (in Russ.). doi: 10.22213/2413-1172-2021-1-31-37.
  • [7] V. Goldfarb, E. Trubachev, N. Barmina (Eds.) Advanced Gear Engineering. Springer International Publishing AG Switzerland, Vol. 51, 2018, 497 p. doi: 10.1007/978-3-319-60399-5.
  • [8] V. Goldfarb, E. Trubachev, N. Barmina (Eds.) New ap-proaches to gear design and production. Springer International Publishing AG Switzerland, Vol. 81, 2020, 529 p. doi: 10.1007/978-3-030-34945-5.
  • [9] V. Goldfarb, E. Trubachev, N. Barmina. “Innovations in design and production of spiroid gears in the XXI century”. MATEC Web of Conferences 287, 01002, 2019, doi: 10.1051/matecconf/201928701002.
  • [10] V. Goldfarb, E. Trubachev, T. Pushkareva, T. Savelyeva. “Comparative investigation of worm and spiroid gears with cylindrical worms”. In: Advances in Mechanism and Machine Science. IFToMM WC 2019. Mechanisms and Machine Science, vol 73. Springer, Cham. 2019, pp. 925-935. doi: 10.1007/978-3-030-20131-9_92.
  • [11] V.I. Goldfarb, E.S. Trubachev, K.V. Bogdanov et al. “Prospects of manufacturing spiroid gears with small gear ratios”. Forsch Ingenieurwes, 2019, 83, pp. 781-791. doi: 10.1007/s10010-019-00343-8.
  • [12] K. Sentyakov, J. Peterka, V. Smirnov, P. Božek, V. Sviatskii. “Modeling of Boring Mandrel Working Process with Vibration Damper”. Materials. Vol. 13, iss. 8, 2020, pp. 1-13. ISSN 1996-1944. doi: 10.3390/ma13081931.
  • [13] O. Matsushita, M. Tanaka, M. Kobayashi, P. Keogh, H. Kanki. Vibrations of Rotating Machinery. Vol. 2. Advanced Rotordynamics: Applications of Analysis, Troubleshooting and Diagnosis. 2019. Springer Japan KK. 577 p. doi: 10.1007/978-4-431-55453-0.
  • [14] Yu. Nikitin, P. Bozek, J. Peterka. “Logical-linguistic Model of Diagnostics of Electric Drivers with Sensors Support”. Sen-sors, 2020, 20, 4429. doi: 10.3390/s20164429.
  • [15] V. Sharmaa, A. Pareya. “A review of gear fault diagnosis using various condition indicators”. Procedia Engineering, 144, 2016, pp. 253-263.
  • [16] A. Hammami, M. Iglesias, A. Fernandez, F. Chaari, F. Viadero, M. Haddar. “Load sharing behavior in planetary gear set”. In: Multiphysics Modelling and Simulation for Systems Design and Monitoring Applied Condition Monitoring, vol. 2, 2017, pp. 459-468. doi: 10.1007/978-3-319-14532-7_47.
  • [17] J. Peterka, P. Bozek, Yu. Nikitin. “Diagnostics of automated technological devices”. MM Science Journal, oct. 2020, pp. 4027-4034. doi: 10.17973/MMSJ.2020_10_2020051.
  • [18] A.W Lees. Vibration Problems in Machines: Diagnosis and Resolution. CRC Press, Taylor & Francis Group, 2016. XVI, 321 p. ISBN 978-1-4987-2675-7.
  • [19] B. Cai. Bayesian Networks in Fault Diagnosis Practice and Application. Singapore: World Scientific, 2019. 418 p.
  • [20] H. Malik, A. Iqbal, K.A. Yadav (Eds.) Soft Computing in Condition Monitoring and Diagnostics of Electrical and Mechanical Systems: Novel Methods for Condition. Springer, 2020, 499 p. Advances in Intelligent Systems and Computing 1096. ISBN 981151531X.
  • [21] S. Trefilov, P. Bozek, Nikitin Y, Martinovic J., Peterka J. Diagnostics of actuators of machine tools drives according to the identifiability criterion by the state space. MM Science Journal, 2021, pp. November, pp. 5291-5296. doi: 10.17973/MMSJ.2021_11_2021131.
  • [22] Mustafa D., Muhammet U. (eds.) Fault Diagnosis and Detection. ExLi4EvA, 2017, 35 p. ISBN-13 978-953-51-3203-5.
  • [23] P. Božek, Yu. Nikitin, T. Krenicky. “Diagnostics of Mechatronic Systems”. Series: Studies in Systems, Decision and Control 345. Springer Nature, Switzerland AG. 2021, 79 p. doi: 10.1007/978-3-030-67055-9.
  • [24] A. Felkaoui, F. Chaari., M. Haddar (eds.) Rotating Machinery and Signal Processing. New York: Springer, 2019, 142 p.
  • [25] B.H. Chudnovsky. Transmission, Distribution, and Renewable Energy Generation Power Equipment: Aging and Life Extension Techniques. CRC Press, Taylor & Francis, 2017, 677 p. (Second edition). ISBN 101498754759/ISBN 13 978-1-4987-5475-0.
  • [26] E. Kuzin, B. Gerike, M. Mamaeva, K. Singh. “Diagnostics of Gearboxes of Mining Belt Conveyors Using Floating Spectral Masks”. In E3S Web of Conferences, Jan. 2019, 105:03011. doi: 10.1051/e3sconf/201910503011.
  • [27] K. Lu, J.X. Gu, H. Fan., X. Sun, B. Li., F. Gu. “Acoustics Based Monitoring and Diagnostics for the Progressive Deterioration of Helical Gearboxes”. Dec. 2021, Chinese Journal of Mechanical Engineering, 34(1). doi: 10.1186/s10033-021-00603-1.
  • [28] A. Heydari, D.A. Garcia, A. Fekih, F. Keynia., L.B. Tjernberg, L.D. Santoli. “A Hybrid Intelligent Model for the Condition Monitoring and Diagnostics of Wind Turbines Gearbox”. Jun. 2021, IEEE Access PP(99):1-1. doi: 10.1109/AC-CESS.2021.3090434.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-d7300d77-1894-4bba-975d-2b6a21a732a0
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