FLOTATSIYA MASHINASINING SIRT KO‘PIKLI QATLAMIDAGI PUFAKCHALAR TEZLIGINI HISOBLASH USULLARI
Maqolaning Asosiy Qismi
Annotatsiya
Ushbu maqolada flotatsiya mashinasining sirt ko‘pikli qatlamidagi pufakchalar tezligini aniqlash uchun kompyuter ko‘rish usullarini qo‘llanishi o‘rganildi. Pufakchalar tezligini o‘lchashning mavjud usullari, ularning afzalliklari va kamchiliklari tahlil qilinadi, shuningdek, pufakchalar tezligi va oltin flotatsiyasi vaqti o‘rtasidagi korrelyatsiya tahlil qilindi. Tahlil natijasida flotatsiya pulpasining sirt ko‘pikli qatlamidagi pufakchalar harakati tezligini aniq va ishonchli aniqlash imkonini beruvchi usullar tizimi ishlab chiqildi.
Yuklab olishlar
Maqola Tafsilotlari
Bo‘lim

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Iqtibos keltirish tartibi
Adabiyotlar ro‘yxati
[1] Nguyen, T. P., Tran, T. H., Nguyen, T. A. H., Nguyen, N. N., & Nguyen, A. V. (2025). The role of surface mobility in enhancing froth drainage and reducing entrainment in flotation. Minerals Engineering, 233, Article 109632. https://doi.org/10.1016/j.mineng.2025.109632 DOI: https://doi.org/10.1016/j.mineng.2025.109632
[2] Aldrich, C., & Liu, X. (2021). Monitoring of flotation systems by use of multivariate froth image analysis. Minerals, 11(7), Article 683. https://doi.org/10.3390/min11070683 DOI: https://doi.org/10.3390/min11070683
[3] Ammar, A., Fredj, H. B., & Souani, C. (2021). Accurate realtime motion estimation using optical flow on an embedded system. Electronics, 10(17), Article 2164. https://doi.org/10.3390/electronics10172164 DOI: https://doi.org/10.3390/electronics10172164
[4] Kosior, D., Wiertel-Pochopien, A., Kowalczuk, P. B., & Zawala, J. (2023). Bubble formation and motion in liquids—A review. Minerals, 13(9), Article 1130. https://doi.org/10.3390/min13091130 DOI: https://doi.org/10.3390/min13091130
[5] Shahbazi, B. (2015). Study of relationship between flotation rate and bubble surface area flux using bubble-particle attachment efficiency. American Journal of Chemical Engineering, 3(2-2), 6–12. https://doi.org/10.11648/j.ajche.s.2015030202.12 DOI: https://doi.org/10.11648/j.ajche.s.2015030202.12
[6] Alfarano, A., Maiano, L., Papa, L., & Amerini, I. (2024). Estimating optical flow: A comprehensive review of the state of the art. Computer Vision and Image Understanding, 249, Article 104160. https://doi.org/10.1016/j.cviu.2024.104160 DOI: https://doi.org/10.1016/j.cviu.2024.104160
[7] Wang, J., Forbes, G., & Forbes, E. (2022). Frother characterization using a novel bubble size measurement technique. Applied Sciences, 12(2), Article 750. https://doi.org/10.3390/app12020750 DOI: https://doi.org/10.3390/app12020750
[8] Fleet, D. J., & Weiss, Y. (2006). Optical flow estimation. In N. Paragios, Y. Chen, & O. Faugeras (Eds.), Handbook of mathematical models in computer vision (pp. 237–257). Springer. https://doi.org/10.1007/0-387-28831-7_15 DOI: https://doi.org/10.1007/0-387-28831-7_15
[9] Huang, T. (2018). Traffic speed estimation from surveillance video data. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) (pp. 161–1614).
[10] Jávor, Z., Schreithofer, N., & Heiskanen, K. (2018). Kernel functions to flotation bubble size distributions. Minerals Engineering, 125, 200–205. https://doi.org/10.1016/j.mineng.2018.06.006 DOI: https://doi.org/10.1016/j.mineng.2018.05.012
[11] Betancourt, F., Bürger, R., Diehl, S., Gutiérrez, L., Martí, M. C., & Vásquez, Y. A. (2023). A model of froth flotation with drainage: Simulations and comparison with experiments. Minerals, 13(3), Article 344. https://doi.org/10.3390/min13030344 DOI: https://doi.org/10.3390/min13030344
[12] Sangsuwan, K., & Ekpanyapong, M. (2024). Video-based vehicle speed estimation using speed measurement metrics. IEEE Access, 12, 4845–4858. https://doi.org/10.1109/ACCESS.2024.3356789 DOI: https://doi.org/10.1109/ACCESS.2024.3350381