Statistically modelling of coal flotation in a pilot plant scale column cell

Document Type : Research Paper

Authors

1 Faculty of Mining, Petroleum & Geophysics Engineering, Shahrood University of Technology, Shahrood, Iran.

2 Tabas parvadeh coal preparation plant, Tabas, Iran.

10.22059/ijmge.2024.374763.595162

Abstract

The objective of this study was to investigate the impact of various operational parameters, including aeration rate, feed flow rate, collector and frother dosage, on the efficiency of coal flotation. A pilot-scale column flotation process was utilized. CCD method and ANOVA were used to develop the process model from the input-output data set of a pilot scale column flotation process and to test the weight recovery models and concentrate ash percentage. By optimizing the parameters, such as using a fuel oil collector dosage of 900 g/t, MIBC frother dosage of 340 g/t, and an aeration rate of 10594.6 ml/min, a column flotation operation achieved a recovery of 50.06% and an ash concentrate of 11.6%. The results showed that the aeration rate had the most significant influence on the ash content of concentrate and recovery, compared to the collector and frother dosages.

Keywords

Main Subjects


[1]    Polat, M., H. Polat, and S. Chander, Physical and chemical interactions in coal flotation. International Journal of Mineral Processing, 2003. 72(1): p. 199-213.
[2]    Ma, L., et al., Response surface method for modeling of fine coal beneficiation by Knelson concentrator. International Journal of Coal Preparation and Utilization, 2021. 41(11): p. 776-788.
[3]    Jannesar Malakooti, S., et al., Coal Recycling from Tailings using Flotation with 2-Level Experimental Design Techniques. International Journal of Mining and Geo-Engineering, 2012. 46(1): p. 1-13.
[4]    Sahoo, S.K., N. Suresh, and A.K. Varma, Flotation production of vitrinite maceral concentrate and its optimization using response surface approach. International Journal of Coal Preparation and Utilization, 2020. 40(3): p. 155-174.
[5]    Bhattacharya, S. and S. Dey, EVALUATION OF FROTHER PERFORMANCE IN COAL FLOTATION: A CRITICAL REVIEW OF EXISTING METHODOLOGIES. Mineral Processing and Extractive Metallurgy Review, 2008. 29(4): p. 275-298.
[6]    Wang, J., et al., Use of oscillatory air supply for improving the throughput and carrying capacity of column flotation. Powder Technology, 2019. 353: p. 41-47.
[7]    Vasseghian, Y., M. Ahmadi, and M. Joshaghani, Ash and sulphur removal from bitumen using column flotation technique: Experimental and response surface methodology modeling. Journal of Particle Science and Technology, 2016. 2(1): p. 1-13.
[8]    Li, Y., et al., Design and Experimental Study of a Modified Cyclonic Microbubble Flotation Column System. International Journal of Coal Preparation and Utilization, 2020. 40(3): p. 223-231.
[9]    Nakhaei, F., M.R. Mosavi, and A. Sam, Recovery and grade prediction of pilot plant flotation column concentrate by a hybrid neural genetic algorithm. International Journal of Mining Science and Technology, 2013. 23(1): p. 69-77.
[10]  Dey, S. and S. Pani, Effective Processing of Low-Volatile Medium Coking Coal Fines of Indian Origin Using Different Process Variables of Flotation. International Journal of Coal Preparation and Utilization, 2012. 32(6): p. 253-264.
[11]   Panjipour, R., M. Karamoozian, and B. Albijanic, Bubble size distributions in gas–liquid–solid systems and their influence on flotation separation in a bubble column. Chemical Engineering Research and Design, 2021. 167: p. 96-106.
[12]  K. K. Sharma, V.K.K.T.G.C. and S. Amalendu, Application of a Central Composite Design with Response Surface Methodology in Beneficiation Studies of Coal Fines Using an Oleo-Flotation Process. International Journal of Coal Preparation and Utilization, 2012. 32(5): p. 225-237.
[13]  Panjipour, R., M. Karamoozian, and B. Albijanic, Investigations of gas holdup, interfacial area of bubbles and bubble size distributions in a pilot plant flotation column. Minerals Engineering, 2021. 164: p. 106819.