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Abstrakty
To create a mechatron model of vacuum tube vibration system for rock cutting by flat auger tools based on physical and mechanical properties of processed array and kinematic characteristics of the instrument. The analytical model of the fracture process of rock cutting by tool vibration with considering of plastic properties of the massif were developed. The main technological parameters of massif vibrating cutting with normal variations were modeled: dependences of normal and tangential pressure in the zone of working body interaction with the medium, normal and shear stresses in the zone of destruction, rock characteristics of the medium, vibration parameters dependences on the characteristics of mechatronic system geometry of the contact area of flat incisors treated with medium. The choice of the computational model of the vibration rock cutting with the normal to the direction of movement of the working body fluctuations with considering arising from processes at once or disorders: the occurrence of compressive and tensile stresses were backgrounded. Main stages and interconnection options in the simulation of vibration cutting were established. Scientific novelty lies in the development of a method of analysis of contact interaction of roller working body molding machine with an array taking into account the changes in the stabilization process of physical and mechanical properties of the treated medium, the aim of which is to predict the required voltage and depth of the formed layer. The theoretical basis of rock cutting by flat auger tool taking into account the normal component of the vibration with respect to the movement direction allowing for the deformation of the rock mass and the contact interaction with the working body were established, that allows to improve the technology of drilling wells by reducing the power consumption of the cutting process. The results enable us to determine the parameters of power and kinematic conditions for the occurrence of the vibration cutting.
Słowa kluczowe
Wydawca
Czasopismo
Rocznik
Tom
Strony
470--483
Opis fizyczny
Bibliogr. 12 poz., rys., tab.
Twórcy
autor
- Department of Power Supply, National Technical University of Ukraine "Igor Sikorsky Kyiv Polytechnic Institute"
autor
- Department of Electromechanical Equipment of Energy Production, National Technical University of Ukraine "Igor Sikorsky Kyiv Polytechnic Institute"
autor
- Department of Power Supply, National Technical University of Ukraine "Igor Sikorsky Kyiv Polytechnic Institute"
autor
- Department of Labor, Industrial and Civil Safety, National Technical University of Ukraine "Igor Sikorsky Kyiv Polytechnic Institute"
autor
- Department of Power Supply, National Technical University of Ukraine "Igor Sikorsky Kyiv Polytechnic Institute"
Bibliografia
- Callan, R. (2000). Neural networks Per. from English - M.: Hot line - Telecom. 280.
- Dreyfus, G. (2005). Neural Networks. Springer, 386.
- Haykin, S. (1999). Neural Networks: A Comprehensive Foundation, 2nd Edition, Prentice-Hall.
- Kyrychenko, V. (2014). Concerning CAE development of hydraulic hoists within ship mining complexes // V. Kyrychenko, E. Kyrychenko, V. Samusya, Antonenko A. / Annual collection of scientific-technical papers "Progressive Technologies of Coal, Coalbed Methane, and Ores mining". Taylor & Francis group, London, UK, 451-456.
- Medvedev, V. (2002). Neural networks. MATLAB 6: Textbook / Medvedev V.S. under. total ed. Potemkin V.G. - M .: DIALOGUE-MIFI, 496.
- Meyta, A. (2010). Monitoring and control system of crushing and grinding complex: Dis. ... Cand. tech. Sciences: 05.09.03 Kiev.
- Meyta, A. (2016). Investigation of the Factor Field of a Ball Mill // Meyta A/ Energy: Economics, Technology, Ecology, 1, 96-101.
- Picton, P. (2000). Neural networks. New York: Palgrave, 195.
- Pivniak, G. (2014). Parameters optimization of heat pumps units in mining enterprises //Pivniak G., Samusya V., Oksen Y, Radiuk M. / Annual collection of scientifictechnical papers "Progressive Technologies of Coal, Coalbed Methane, and Ores mining": Taylor & Francis group, London, UK, 19-24.
- Rosen, V. (2015). Optimization of power consumption of the grinding and grinding complex // Rosen V., Kalinchik V., Meyta A., Skosirev V. / Energy: Economics, Technology, Ecology, 1, 43-47.
- Samusya, V. The choice of rational parameters of the heat pump installation for the utilization of low-potential heat of mine water / Samusya V., Oksen Y., O. Huk // Metallurgical and mining industry / Science and Technology and production magazine. 1(92). 126-131.
- Titterington, M. (2009). Neural networks. WIREs Computational Statistics. 2(1). 1-8.
Typ dokumentu
Bibliografia
Identyfikator YADDA
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