Warianty tytułu
Języki publikacji
Abstrakty
Efficiently realizing the separation of coal gangue is a hot issue in coal preparation. To solve this problem, this paper proposes research on the identification and separation of minerals in coal gangue based on dual-energy X-rays, and conducts experimental research on four single minerals and several different composite minerals in coal based on the identification technology in the sorting process of the system, and conducts a simulation study on the jet separation simulation for the separation technology in the separation process of the system. Based on the coal gangue photoelectric separation test platform, the main minerals in coal gangue were analyzed. Based on MATLAB software, the grey value of the mineral was obtained, the curve between the grey value and the thickness was made, the mass absorption coefficient of the mineral in the high and low energy regions was obtained by regression analysis, and the R value identification threshold of single mineral and composite mineral was established, which provided a theoretical basis for the accurate identification of coal gangue. The parameters of the jet nozzle were analyzed and optimized through fluid simulation, and the optimal parameters for the rapid separation of coal gangue were determined.
Rocznik
Tom
Strony
art. no. 192417
Opis fizyczny
Bibliogr. 23 poz., rys., tab., wykr.
Twórcy
autor
- School of Materials Science and Engineering, Anhui University of Science and Technology, Huainan 232001, China
autor
- School of Materials Science and Engineering, Anhui University of Science and Technology, Huainan 232001, China, hywang2000@162.com
autor
- School of Materials Science and Engineering, Anhui University of Science and Technology, Huainan 232001, China
autor
- School of Materials Science and Engineering, Anhui University of Science and Technology, Huainan 232001, China
autor
- School of Materials Science and Engineering, Anhui University of Science and Technology, Huainan 232001, China
autor
- School of Materials Science and Engineering, Anhui University of Science and Technology, Huainan 232001, China
Bibliografia
- DUAN, Y.J., 2010. Study on variable energy X-ray scanning imaging technology. North University of China.
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- HU, B., WANG, S. T., LI, J. Y., 2013. Experimental study on the nozzle device of automatic identification and sorting machine for waste mixed plastics. Journal of Tianjin Polytechnic University, 29(01):7-11.
- HUANG, S.B., 2018. 40 Years of Reform and Opening Up China's Coal Industry Development Entered the World's Advanced Ranks. Coal Economic Research, 11: 1.
- HUANG, S., WANG, M., ZHANG, J., 2020. Application analysis of X-ray intelligent gangue separation technology in Yaoqiao coal preparation plant. Shandong Coal Science and Technology, 8: 186-188.
- LIU, W., LIU, C.J., 2018. The Road of Coal Industry Safety Development in the Past 40 Years of Reform and Opening Up. Coal Economic Research, 11: 34-42.
- ZHAI, R.W., 2019. Technical analysis of coal preparation based on the concept of energy saving and emission reduction. Resource conservation and environmental protection, 1: 29.
- ZHANG, S.Q., 2016. Practice and prospect of clean and efficient utilization of coal in China. Science & Technology Review, 34(17): 56-63.
- LI, S.S., 2019. Analysis of the role of coal preparation in clean coal technology. Shandong Industrial Technology, (02): 90.
- LI, Y.M., ZHANG, Z.H., 1995. The discovery of X-rays and their impact on modern science and technology, 8: 474-482.
- LI, J., YANG, D., DU, C.,2013. Evaluation of an underground separation device of coal and gangue. International Journal of Coal Preparation and Utilization, 33(4): 188-193.
- LI, J.P., DU, C.L., XU, L.J., 2011. Impactive crushing and separation experiment of coal and gangue. Journal of China Coal Society, 36(4): 687-690.
- MA, X.M., JIANG, Y., 2004. Exploration of digital image processing methods for coal and gangue recognition. Coal mine electromechanical, 5: 9-11.
- MEI, P.L.,2023. Research on coal gangue identification and detection technology based on deep learning. China University of Mining and Technology, 2023.002715.
- NORLIN B., MANUILSKIY A., NILSSON H.-E., FRÖJDH C., 2004. Material recognition with the Medipix photon counting colour X-ray system. Nuclear instruction & Methods in physics research, 531: 265-269.
- PAN, Y., ZENG, Z., ZHANG, E.Y., 2017. A study on gangue identification for X-ray detection based on MATLAB and image grey value. Coal technology, 36: 307-309.
- PICON RUIZ ARTZAI., GHITA OVIDIU., WHELAN PAUL F., IRIONDO PEDRO MARIA., 2010. Method for integrating spectral and spatial features for classifying materials.
- SONG, X., WANG, G. D., MA, H.,2020. Mechanism and mathematical modelling of the continuous process of coal breaking by air jets. Coal Journal, 45(09):3176-3185.
- STAŃCZYK K., 2020. Modelling of Hard Coal Beneficiation Process Utilising Negative Pressure Pneumatic Separator. Energies, 13(19): 51-74.
- YI, T.H., 2022. Experimental design and analysis. Machinery Industry Press.
- YU, H., YIN, F. F., YAN, L., 2019. Simulation study of spray and blow separation in plastics near infrared sorting equipment. Electromechanical engineering, 36(04):378-382.
- YUAN, P.X., SUN, L.N., 2006. Establishment of classification identification curves for substances under dualenergy X-ray transmission conditions. Journal of Northeastern University (Natural Science Edition), 27: 336-339.
Typ dokumentu
Bibliografia
Identyfikatory
Identyfikator YADDA
bwmeta1.element.baztech-ab6578f4-cb2f-40ac-b7fb-f3505a93f8cc
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