Safety considerations of static sensitization emulsification technology for Kings-type emulsion explosives based on quadratic linear programming algorithm

[1] Al-Sabagh, A. M., Hussien, M. A., Mishrif, M. R., El-Tabey, A. E., & Elawady, A. (2017). Preparation and investigation of emulsion explosive matrix based on gas oil for mining process. Journal of Molecular Liquids, 198-207. Search in Google Scholar

[2] Zhang, K. M., & Zhao, H. R. (2022). Perspectives in the stability of emulsion explosive. Advances in colloid and interface science, 307, 102745. Search in Google Scholar

[3] Zhao, H. R., Wu, J., Xu, M. X., & Zhang, K. M. (2021). Advances in the rheology of emulsion explosive. Journal of Molecular Liquids, 336, 116854. Search in Google Scholar

[4] Ahmed Melo-Espinosa, E., Bellettre, J., Tarlet, D., Montillet, A., Piloto-Rodriguez, R., & Verhelst, S. (2018). Experimental investigation of emulsified fuels produced with a micro-channel emulsifier: puffing and micro-explosion analyses. Fuel, 219(MAY 1), 320-330. Search in Google Scholar

[5] Shen, S., Sun, K., Che, Z., Wang, T., & Cai, J. (2019). Mechanism of micro-explosion of water-in-oil emulsified fuel droplet and its effect on soot generation. Energy, 191, 116488. Search in Google Scholar

[6] Kramarczyk, B., & Mertuszka, P. (2021). Study of the influence of sensitizer content on the density of a bulk emulsion explosive used in underground operations. Central European Journal of Energetic Materials, 18(4). Search in Google Scholar

[7] Mertuszka, P., Fuławka, K., Pytlik, M., & Szastok, M. (2020). The influence of temperature on the detonation velocity of selected emulsion explosives. Journal of Energetic Materials, 38(3), 336-347. Search in Google Scholar

[8] Mertuszka, P., Szumny, M., Fuawka, K., Malej, J., & Saiang, D. (2019). The effect of the blasthole diameter on the detonation velocity of bulk emulsion explosive in the conditions of selected mining panel of the rudna mine. Archives of Mining Sciences, 64(4), 725-737. Search in Google Scholar

[9] Wu, D. (2018). Study on thermal decomposition characteristics of ammonium nitrate emulsion explosive in different scales. Journal of Energetic Materials, 36(1a4). Search in Google Scholar

[10] Kononenko, M. M., Khomenko, O. Y., Kovalenko, I. L., & Savchenko, M. V. (2021). Control of density and velocity of emulsion explosives detonation for ore breaking. Natsional’nyi Hirnychyi Universytet. Naukovyi Visnyk, (2), 69-75. Search in Google Scholar

[11] Kumar, S., & Mishra, A. K. (2020). Reduction of blast-induced ground vibration and utilization of explosive energy using low-density explosives for environmentally sensitive areas. Arabian Journal of Geosciences, 13, 1-10. Search in Google Scholar

[12] Mishra, A., Rout, M., Singh, D. R., & Jana, S. (2017). Influence of density of emulsion explosives on its velocity of detonation and fragmentation of blasted muckpile. Current science, 112(3), 602. Search in Google Scholar

[13] Dhekne, B. (2019). Effect of distributed spherical air-gaps on performance of emulsion explosive. Journal of the Institution of Engineers (India), Series D. Metallurgical & Materials Engineering.Mining Engineering, 100(2). Search in Google Scholar

[14] MD Marco, Forti, M., Pancioni, L., Innocenti, G., & Tesi, A. (2020). Memristor neural networks for linear and quadratic programming problems. IEEE Transactions on Cybernetics, PP (99), 1-14. Search in Google Scholar

[15] Wei, X., Vera, J. C., & Zuluaga, L. F. (2020). Globally solving nonconvex quadratic programs via linear integer programming techniques. INFORMS journal on computing, 32(1), 40-56. Search in Google Scholar

[16] Wang, L. Q., & Zhang, Y. B. (2017). Numerical study on thermal safety of emulsion matrix in emulsifier. Propellants, Explosives, Pyrotechnics, 42(5). Search in Google Scholar

[17] Yu, PengchengLing, Nicholas N. A.Fridjonsson, Einar O.Johns, Michael L. (2021). The effect of inert salts on explosive emulsion thermal degradation. Propellants, Explosives, Pyrotechnics, 46(3). Search in Google Scholar

[18] Nayana, B. R., & Geethanjali, P. (2017). Analysis of statistical time-domain features effectiveness in identification of bearing faults from vibration signal. IEEE Sensors Journal, 17(99), 5618-5625. Search in Google Scholar

[19] Dowalla, K., Bilski, P., Ukaszewski, R., A Wójcik, & Kowalik, R. (2022). Application of the time-domain signal analysis for electrical appliances identification in the non-intrusive load monitoring. Energies, 15. Search in Google Scholar