Energy optimization of a hoisting engine acceleration
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- Category: Physical processes
- Last Updated on Sunday, 10 November 2019 02:32
- Published on Saturday, 26 October 2019 12:52
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Authors:
V.S.Loveikin, Dr. Sc. (Tech.), Prof., orcid.org/0000-0003-4259-3900, National University of Life and Environmental Sciences of Ukraine, Kyiv, Ukraine, e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.; This email address is being protected from spambots. You need JavaScript enabled to view it.; This email address is being protected from spambots. You need JavaScript enabled to view it.
Yu.О.Romasevych, Dr. Sc. (Tech.), Assoc. Prof., orcid.org/0000-0001-5069-5929, National University of Life and Environmental Sciences of Ukraine, Kyiv, Ukraine, e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.; This email address is being protected from spambots. You need JavaScript enabled to view it.; This email address is being protected from spambots. You need JavaScript enabled to view it.
V.P.Kurka, Cand. Sc. (Tech.), orcid.org/0000-0003-1247-6770, National University of Life and Environmental Sciences of Ukraine, Kyiv, Ukraine, e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.; This email address is being protected from spambots. You need JavaScript enabled to view it.; This email address is being protected from spambots. You need JavaScript enabled to view it.
Abstract:
Purpose. To improve the energy characteristics of mine winder acceleration in the process of lifting the final load by optimizing and investigating the results which have been obtained with energy and dynamic indicators.
Methodology. In order to optimize the acceleration of a mine winder, a class of continuously differentiated basis functions was used. They included the free parameters, which are used for energy criterion minimization. Several approximate solutions of the variational problem were obtained. By using the numerical integration of differential equations, an analysis of the results with energy and dynamic indicators has been performed.
Findings. It has been established that the mine winder motion laws, which have been obtained in the research, allow eliminating the oscillations of its elements (load and coupling halves) at the end of acceleration mode. In addition, during the acceleration, undesirable maximal dynamic loads in the rope, coupling, and drive are significantly reduced, as well as an insignificant decrease in undesirable root-mean-square values of energy and dynamic indicators of the lifting machine can be observed. It has been proved that the numerical values of the energy and dynamic indicators of the machine movement significantly depend on the characteristics of its motion during acceleration.
Originality. The formulation of the optimization problem was performed, where the nonlinear integral functional was chosen as a criterion. It was established that the variational approach does not allow obtaining the exact solution of the problem. In order to find approximate solutions of the problem, we obtained five basis functions that contained free parameters. Besides that, for the synthesis of basis functions, the specified boundary conditions were used. They allowed reducing the undesirable dynamic indicators of the mine winder significantly. The obtained approximate (quasi-optimal) solutions to the variational problem were investigated according to a complex of energy and dynamic indicators. A rational basis function was established. It is simple and satisfies the requirement of sufficient accuracy of solving the optimization problem.
Practical value. The optimal mode of mine winder acceleration, which has been obtained in the work, might be implemented with the help of controlled electric drive of direct or alternating current, which allows increasing the efficiency of a mine winder in terms of energy and dynamic indicators.
References.
1. Medved, M., Ristovic, I., Roser, J., & Vulic, M. (2012). An Overview of Two Years of Continuous Energy Optimization at the Velenje Coal Mine. Energies, 5, 2017-2029. DOI: 10.3390/en5062017.
2. Boyko, А., & Volianskaya, Ya. (2017). Synthesis of the system for minimizing losses in asynchronous motor with a function for current symmetrisation. Eastern-European Journal of Enterprise Technologies, 4(5(88)), 50-58. DOI: 10.15587/1729-4061.2017.108545.
3. Mangalekar, S., Bankar, V., & Chaphale, P. (2016). A Review on Design and Optimization with Structural Behavior Analysis of Central Drum in Mine Hoist. International Journal of Engineering Research and General Science, 4(2), 91-96.
4. Zhen-liang, Y., & Wei-min, L. (2011). CAE Optimization Design of Mine Hoist Spindle Device. Advanced Materials Research, 299-300, 878-882. DOI: 10.4028/www.scientific.net/AMR.299-300.878.
5. Hu, J., LIa, J.-Ch., He, X., & Cao, J.-Ch. (2016). Large Mine Hoist Drum Topology Optimization Design. In International Conference on Energy Development and Environmental Protection (EDEP 2016) (pp. 520-526). Retrieved from http:// dpi-proceedings.com/index.php/dteees/article/download/5945/5559.
6. Lu, H., Peng, Yx., Cao, S., & Zhu, Zc. (2019). Parameter Sensitivity Analysis and Probabilistic Optimal Design for the Main-Shaft Device of a Mine Hoist. Arabian Journal for Science and Engineering, 971-979. DOI: 10.1007/s13369-018-3331-y.
7. Loveikin, V. S., & Romasevych, Yu. O. (2018.) Regime-parametric optimization of a mine winder deceleration. Naukovyi Visnyk Natsionalnoho Hirnychoho Universytetu, 5, 72-78. DOI: 10.29202/nvngu/2018-5/9.
8. Badenhorst, W., Zhang, J., & Xia, X. (2011). Optimal hoist scheduling of a deep level mine twin rock winder system for demand side management. Electric Power Systems Research, 81(5), 1088-1095. DOI: 10.1016/j.epsr.2010.12.011.
9. Ilin, S. R., Samusya, V. I., Kolosov, D. L., Ilina, I. S., & Ilina, S. S. (2018). Risk-forming dymamic processes in units of mine hoists of vertical shafts. Naukovyi Visnyk Natsionalnoho Hirnychoho Universytetu, 5, 64-71. DOI: 10.29202/nvngu/2018-5/10.
10. Zabolotnyi, K. S., Panchenko, O. V., Zhupiiev, O. L., & Polushyna, M. V. (2018). Influence of parameters of a rubber-pore cable on the torsional stiffness of the body of the winding. Naukovyi Visnyk Natsionalnoho Hirnychoho Universytetu, 5, 54-63. DOI: 10.29202/nvngu/2018-5/11.
11. Pylypaka, S., Klendiy, M., & Zaharova, T. (2019). Movement of the Particle on the External Surface of the Cylinder, Which Makes the Translational Oscillations in Horizontal Planes. Advances in Design, Simulation and Manufacturing, 336-345. DOI: 10.1007/978-3-319-93587-4_35.
12. Sladkowski, A. V., Kyrychenko, Y. O., Kogut, P. I., Samusya, V. I., & Kolosov, D. L. (2019). Innovative designs of pumping deep-water hydrolifts based on progressive multiphase non-equilibrium models. Naukovyi Visnyk Natsionalnoho Hirnychoho Universytetu, 2, 51-57. DOI: 10.29202/nvngu/2019-2/6.
13. Grigorov, O., Druzhynin, E., Anishchenko, G., Strizhak, M., & Strizhak, V. (2018). Analysis of Various Approaches to Modeling of Dynamics of Lifting-Transport Vehicles. International Journal of Engineering & Technology, 7(4.3), 64-70. DOI: 10.14419/ijet.v7i4.3.19553.
14. Bronshtein, I. N., & Semendyayev, K. A. (2013). Handbook of mathematics (3rd ed.). Springer Science & Business Media. Retrieved from https:// www.springer.com/gp/book/9783662462201.
15. Romasevych, Yu., & Loveikin, V. (2018). A Novel Multi-Epoch Particle Swarm Optimization Technique, Cybernetics and Information Technologies, 18(3), 62-74. DOI: 10.2478/cait-2018-0039.
16. Szymański, Z. (2015). Intelligent, energy saving power supply and control system of hoisting mine machine with compact and hybrid drive system. Archives of Mining Sciences, 60(1), 239-251. DOI: 10.1515/amsc-2015-0016.