CONSTRUCTION OF COMPORTMENTS QUANTITIES UNDULATION THROUGHOUT HUB RARER MORTISE CRUSHING ON SECURE MANACLES
Keywords:
Development Novelty, Asymptote, Hodograph, WavinessAbstract
The structure of waviness on the functioning surfaces of behavior parts is connected through fluctuations in the mass of the hack coat of metal and changes in the mechanism of the wounding might. Laplace operators were used to replica the hub fewer grinding scheme based on the edifice of the relocate purpose and the feature equation. It was establish that the structure of waviness depends on the position of the hodograph of the movement of the vector of the hub of the part in the multifaceted aircraft, which in revolve depends on the numerical parameters of the firm handcuffs of the hub fewer dicer appliance. This makes it probable, based on hodographs and the bony direction of their asymptotes, to decide the numerical steadiness of the method depending on the angles of alteration of the firm chains of the dicer mechanism Two practical approaches were used to confirm the correctness of the hypotheses. The first one is a multiplication of wave’s hodographs. The subsequent single is revival dislocation and the accident of the mutual hood grid of renaissance and waviness dislocation mechanisms with the hodograph of considerably firm appliance dislocation. The diagrams which permit choosing geometry of alteration of rigid hold that allows to augment or decrease parameters of convinced harmonics are urbanized. The 3D illustration allows location the limited minima, characterized by suitable numerical alteration condition, only if keeping pace waviness of the operational surfaces of manner parts.
References
Yue, Q., Li, L., Zhang, X. (2023). Failure mechanism and bearing capacity analysis of the underpinning structure with relative displacement. Engineering Failure Analysis, Vol. 148, 107205, https://doi.org/10.1016/j.engfailanal.2023.107205
Gu, Q., Deng, Z., Lv, L., Liu, T., Teng, H., Wang, D., Yuan, J. (2021). Prediction research for surface topography of internal grinding based on mechanism and data model. International Journal of Advanced Manufacturing Technology, Vol. 113(3-4), pp. 821-836, https://doi.org/10.1007/s00170-021-06604-7
Zhao, B., Wang, X., Ding, W., Wang, Y., Fu, Y., Zhao, Y., Zhu, J. (2023). Grain erosion wear properties and grinding performance of porous aggregated cubic boron nitride abrasive wheels. Chinese Journal of Aeronautics, https://doi.org/10.1016/j.cja.2022.08.005
Wu, Z., Zhang, L. (2023). Analytical grinding force prediction with random abrasive grains of grinding wheels. International Journal of Mechanical Sciences, Vol. 250, 108310, https://doi.org/10.1016/j.ijmecsci.2023.108310
Kishore, K., Sinha, M. K., Chauhan, S. R. (2023). A comprehensive investigation of surface morphology during grinding of Inconel 625 using conventional grinding wheels. Journal of Manufacturing Processes, Vol. 97, pp. 87-99 https://doi.org/10.1016/j.jmapro.2023.04.053
Chalyj, V., Moroz, S., Ptachenchuk, V., Zablotskyj, V., Prystupa, S. (2020). Investigation of waveforms of roller bearing’s working surfaces on hubfewer grinding operations. In: Ivanov V. et al. (eds) Advances in Design, Simulation and Manufacturing
III. DSMIE 2020. Lecture Notes in Mechanical Engineering, Springer, Cham, Vol. 1, pp. 349-360, https://doi.org/10.1007/978- 3-030-50794-7_34
Kalchenko, V., Yeroshenko, A., Oyko, S. (2017). Mathematical modeling of abrasive grinding working process. Naukovyi Visnyk Natsionalnoho Hirnychoho Universytetu, Vol. 6, pp. 76-82.
Zhang, X.-M., Zhang, Q.-J. (2010). Research on the simulation of hubfewer grinding process. Proceedings of the 29th Chinese Control Conference, Vol. 2010, pp. 5310-5313.
Chunjian, H., Qiuju, Z., Yubing, X. (2010). Research on the computer simulation technique of cylindrical hubfewer grinding process. 2010 Second International Workshop on Education Technology and Computer Science, pp. 431-433, https://doi.org/10.1109/ETCS.2010.551
Yang, H., Zhang, L., Li, D., Li, T. (2011). Modeling and analysis of grinding force in surface grinding. 2011 IEEE International Conference on Computer Science and Automation Engineering, pp. 175-178, https://doi.org/10.1109/CSAE.2011.5952448
Zablotskyi, V., Tkachuk, A., Prozorovskyi, S., Tkachuk, V., Waszkowiak, M. (2022). Influence of turning operations on waviness characteristics of working surfaces of rolling bearings. In: Ivanov, V., Trojanowska, J., Pavlenko, I., Rauch, E., Peraković, D. (eds) Advances in Design, Simulation and Manufacturing V. DSMIE 2022. Lecture Notes in Mechanical Engineering. Springer, Cham, pp. 345-354, https://doi.org/10.1007/978-3-031-06025-0_34
Shah, H., Taha, E. H. (2022). Busemann functions in asymptotically harmonic Finsler manifolds. Journal of Mathematical Physics, Analysis, Geometry, Vol. 18(4), pp. 546-561, https://doi.org/10.15407/mag18.04.546
Zhuang, J., Cao, Y., Jia, M., Zhao, X., Peng, Q. (2023). Remaining useful life prediction of bearings using multi-source adversarial online regression under online unknown conditions. Expert Schemes with Applications, Vol. 227, 120276, https://doi.org/10.1016/j.eswa.2023.120276
Gabor, M., Zdunek, R., Zimroz, R., Wodecki, J., Wylomanska, A. (2023). Non-negative tensor factorization for vibration-based local damage detection. Mechanical Schemes and Signal Processing, Vol. 198, https://doi.org/10.1016/j.ymssp.2023.110430
Chen, J., Lin, C., Yao, B., Yang, L., Ge, H. (2023). Intelligent fault diagnosis of rolling bearings with low-quality data: A feature significance and diversity learning method. Reliability Engineering and Scheme Safety, Vol. 237, https://doi.org/10.1016/j.ress.2023.109343
Bai, X., Zeng, S., Ma, Q., Feng, Z., An, Z. (2023). Intelligent fault diagnosis method for rolling bearing using WMNRS and LSSVM. Measurement Science and Technology, Vol. 34(7), https://doi.org/10.1088/1361-6501/acc3b9
Zhu, D., Yin, B., Teng, C. (2023). An improved spectral amplitude modulation method for rolling element bearing fault diagnosis. Journal of the Brazilian Society of Mechanical Sciences and Engineering, Vol. 45(5), https://doi.org/10.1007/s40430- 023-04184-z
Chen, S., Xie, B., Wang, Y., Wang, K., Zhai, W. (2023). Non-stationary harmonic summation: A novel method for rolling bearing fault diagnosis under variable speed conditions. Structural Health Monitoring, Vol. 22(3), pp. 1554-1580, https://doi.org/10.1177/14759217221110278
Lin, S., Jiang, S. (2022). Rotordynamics of an improved face-grinding spindle: Rotational stiffness of thrust bearing increases radial stiffness of spindle. Journal of Manufacturing Science and Engineering, Transactions of the ASME, Vol. 144(8), https://doi.org/10.1115/1.4053458
Zmarzły, P. (2022). Analysis of technological heredity in the production of rolling bearing rings made of AISI 52100 steel based on waviness measurements. Materials, Vol. 15(11), https://doi.org/10.3390/ma15113959
Brosed, F. J., Zaera, V. A., Padilla, E., Cebrián, F., Aguilar, J. J. (2018). In-process measurement for the process control of the real-time manufacturing of tapered roller bearings. Materials, Vol. 11(8), https://doi.org/10.3390/ma1108137
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Copyright (c) 2024 Saravanan Suba, Dinesh Senduraja , V. Isakkirajan , P.Senthil Kumaran (Author)
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