Academic Journal
OPTIMIZATION OF GEOMETRIC PARAMETERS OF HIGHER KINEMATIC PAIRS TO MINIMIZE THEIR WEAR
| Τίτλος: | OPTIMIZATION OF GEOMETRIC PARAMETERS OF HIGHER KINEMATIC PAIRS TO MINIMIZE THEIR WEAR |
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| Συγγραφείς: | Banza Plandi Kantshiama, Komrakov Vladimir Viktorovich |
| Στοιχεία εκδότη: | Norwegian Journal of development of the International Science, 2024. |
| Έτος έκδοσης: | 2024 |
| Θεματικοί όροι: | 4. Education, kinematic pairs, geometric parameters, wear, optimization, mathematical model, experimental stud-ies |
| Περιγραφή: | Littératures: 1. Agwoko, M.P. Experimental and Numerical Studies on Dynamic Characteristics of Long-Span Cable-Supported Pipe Systems/ M.P. Agwoko, Z.Chen and H. Liu// Int J. Steel Struct. 2021. № 21. P. 274-298. URL: https://doi.org/10.1007/s13296-020-00438-x. 2. A new approach to the design of a delta robot with a desired workspace/ X.J. Liu, [et al.]// J. Intell. Robot Syst., 2004, vol. 39, no. 2, pp. 209-225, doi: https://doi.org/10.1023/B:JINT.0000015403.67717.68. 3. Artificial-Neural-Network-Based Mechanical Simulation Prediction Method for Wheel-Spoke Cable Truss Construction/ Z. Liu, [et al.]// Int J. Steel Struct. 2021. № 21. P. 1032-1052. URL: https://doi.org/10.1007/s13296-021-00488-9. 4. Stiffness optimization of delta robots. In: ROMAN-SY23/ C. Mirz, [et al.]// Springer, 2020, pp. 396-404. 5. Averin, A.N. Small vibrations of a rigid thread near a static equilibrium position/ A.N. Averin // Structural mechanics and structures. 2018. № 2 (17). С. 53-66. 6. Valyukhov, S.G. Using approximation models to optimize the profile of a centrifugal pump impeller/ S.G. Valyukhov, [et al.]// Pumps. Turbines. Systems, 2020, No. 2, p. 58-65. 7. Galdin, D.N. Optimization of the profile of the spatial impeller of a centrifugal pump using a parameterized model of the flow path and an artificial neural network// D.N. Galdin, A.V. Kretinin and S.V. Pechkurov// Proceedings of MNTK SINT21. Voronezh, 2021, p. 31-42. 8. Karpunin, V.G. Computer modeling of building structures of buildings and structures// V.G. Karpunin, and E.A. Golubeva// Architect: news from universities. 2019. No. 4 (68). P. 17. 9. To the calculation of Delta type mechanisms with linear drives and different numbers of degrees of freedom/ P.A. Laryushkin, [et al.]// Problems of mechanical engineering and machine reliability, 2019, No. 3, p. 19-29, doi: https://doi.org/10.1134/ S0235711919030106. 10. Svoboda, D.G. Optimization of the flow path of an axial pump using direct methods/ D.G. Svoboda, [et al.]// News of higher educational institutions. Mechanical Engineering, 2022, No. 12, p. 116-123, doi: 10.18698/0536-1044-2022-12-116-123. 11. Semenova, A.V. Target functionals for optimizing the impeller of rotary-blade hydraulic turbines/ A.V. Semenova, D.V. Chirkov and A.E. Lyutov// Scientific and technical bulletin of SPbSPU, 2014, No. 3, p. 97-106. 12. Semenova, A.V. Application of a multi-objective optimization method for designing the blade shape of a rotary-blade hydraulic turbine/ A.V. Semenova, D.V. Chirkov and V.A. Skorospelov// News of the Samara Scientific Center of the Russian Academy of Sciences, 2013, v. 15, no. 4-2, p. 588-593. 13. Sokolova, M.A. Optimization design of the impeller blade shape using the “dependence of efficiency on flow” criterion/ M.A. Sokolova, V.E. Rigin and A.V. Semenov// Hydraulic machines, hydropneumatic drives and hydropneumatic automation. Sat. scientific tr. Int. scientific-technical conf. St. Petersburg, SPbPU Publishing House, 2016, p. 114123. 14. Tarasov, D.A. Мodeling the stress-strain state of bending-rigid threads/ D.A. Tarasov, N.Yu. Mitrokhina and E.V. Manchenkova// Models, systems, networks in economics, technology, nature and society. 2022. No. 1 (41). pp. 82-93. DOI: 10.21685/ 2227-8486-2022-1-9. 15. Multi-objective optimization of the shape of a hydraulic turbine suction pipe. Hydraulic machines, hydraulic drives and hydropneumatic automation. Current state and development prospects / D.V. Chirkov, [etc.] // Sat. Art. XII All-Russian Scientific and Technical. conf. St. Petersburg, POLYTECH-PRESS, 2022, p. 10-28, doi: 10.18720/SPBPU/2/id22-159. In the contemporary industry of machine manufacture, the analysis of the interplay between machine elements that are susceptible to friction is of paramount importance. The magnitude and qualities of this friction have a direct impact on the efficiency of mechanisms, their longevity, and their dependability. However, friction is not solely a resistive force to be surmounted, but it also has latent potential to engender heat, oscillation, and attrition. Coulomb's law, which governs the ratio of friction force to normal force, is the central point of investigation for academics. Precise determination of the friction coefficient, as well as comprehension of the dynamics of this phenomenon, can profoundly enhance the performance and longevity of mechanisms. This is especially true in the context of incessant growth and integration of automatic systems, where even a minor shift in frictional characteristics can have momentous implications on the operations of all machinery. As per the esteemed Journal of Friction and Wear (2019), a conspicuous surge in the longevity of machines, up to 15-20%, can be attained via rectifying the geometric parameters of kinematic pairs. However, notwithstanding the multitude of publications on this matter, the issue of the numerical correlation between said geometry and the level of wear remains unresolved. The State Institute of Mechanical Engineering (2020) has reported that a staggering 60% of equipment malfunctions are attributable to the imprudent selection of geometric parameters. |
| Τύπος εγγράφου: | Article |
| DOI: | 10.5281/zenodo.10899453 |
| DOI: | 10.5281/zenodo.10899454 |
| Rights: | CC BY |
| Αριθμός Καταχώρησης: | edsair.doi.dedup.....b022ea7abd2e970995a84e4e23f70a62 |
| Βάση Δεδομένων: | OpenAIRE |
| DOI: | 10.5281/zenodo.10899453 |
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