Rathi Imkong, Kumar Shravan
Department of Fuel, Minerals and Metallurgical Engineering, Indian Institute of Technology (Indian School of Mines), Dhanbad, 826004, India.
Sci Rep. 2025 Jan 2;15(1):65. doi: 10.1038/s41598-024-81193-5.
The Malanjkhand chalcopyrite deposit, India's primary copper ore producer, has potential for enhanced flotation performance. This study employs standard flotation experiments using a mechanical cell, integrating a conventional collecting agent with a novel ester-based collector blend. A three-factor, three-level Box-Behnken design systematically evaluated experimental parameters, analysed using ANOVA, cubic plots, response surface methodologies. Investigation examines the effects-interactions of three key parameters in chalcopyrite flotation: dosages of sodium silicate (depressant), (SIPX- collector) and acetoacetic acid n-octyl ester (AoE) (co-collector/modifier). Both high-grade (HG) and low-grade (LG) ore samples were tested to compare process outcomes. Results showed that incorporating AoE with optimized SIPX dosages increased copper grade by at least 15%, with favorable recovery rates. For the HG sample, optimal conditions for a 93.64% recovery were 0.001 kg/t sodium silicate, 0.005 kg/t SIPX, and 0.00125 kg/t AoE. Achieve an optimized grade of 3%, a 78.1% increase from the feed sample, the ideal conditions were 0.00175 kg/t sodium silicate, 0.005 kg/t SIPX, and 0.0005 kg/t AoE for the HG sample. Validation experiments confirmed the results, aligning well with statistical model predictions. Calculated (SPI) value of 0.1241 capita kg falls within the desirable range of 0 to 1, indicating the reliability-accuracy of the outcomes.
印度主要的铜矿石生产商马兰杰坎德黄铜矿矿床具有提高浮选性能的潜力。本研究采用机械浮选槽进行标准浮选实验,将传统捕收剂与新型酯基捕收剂混合物相结合。采用三因素三水平的Box-Behnken设计系统地评估实验参数,并使用方差分析、立方图和响应面方法进行分析。研究考察了黄铜矿浮选中三个关键参数的影响及其相互作用:硅酸钠(抑制剂)、SIPX(捕收剂)和乙酰乙酸正辛酯(AoE)(共捕收剂/调节剂)的用量。对高品位(HG)和低品位(LG)矿石样品都进行了测试,以比较选矿结果。结果表明,将AoE与优化后的SIPX用量相结合,可使铜品位至少提高15%,回收率良好。对于HG样品,回收率达到93.64%的最佳条件是:硅酸钠0.001 kg/t、SIPX 0.005 kg/t和AoE 0.00125 kg/t。对于HG样品,要达到3%的优化品位,比进料样品提高78.1%,理想条件是硅酸钠0.00175 kg/t、SIPX 0.005 kg/t和AoE 0.0005 kg/t。验证实验证实了结果,与统计模型预测吻合良好。计算得出的人均0.1241千克的(SPI)值落在0至1的理想范围内,表明结果具有可靠性和准确性。