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Preparation of Expanded Chitin Foams and their Use in the Removal of Aqueous Copper
Published on: February 27, 2021
Innovative study on chalcopyrite flotation efficiency with xanthate and ester collectors blend using response surface
1Department of Fuel, Minerals and Metallurgical Engineering, Indian Institute of Technology (Indian School of Mines), Dhanbad, 826004, India. rathiimkong@gmail.com.
This study enhanced copper flotation at India's Malanjkhand mine using a novel ester collector blend. Optimized dosages significantly boosted copper grade and recovery rates for both high-grade and low-grade ores.
Area of Science:
- Mineral Processing
- Metallurgical Engineering
- Applied Chemistry
Background:
- The Malanjkhand chalcopyrite deposit is India's leading copper source.
- Flotation performance optimization is crucial for efficient copper extraction.
- Novel collector blends offer potential for improved mineral recovery.
Purpose of the Study:
- To evaluate the efficacy of a novel ester-based collector blend in enhancing chalcopyrite flotation.
- To determine optimal dosages of sodium silicate, SIPX, and acetoacetic acid n-octyl ester (AoE) for improved copper recovery and grade.
- To compare flotation performance on high-grade (HG) and low-grade (LG) ore samples.
Main Methods:
- Standard flotation experiments were conducted using a mechanical cell.
- A Box-Behnken design was employed to systematically evaluate three parameters: sodium silicate, SIPX, and AoE dosages.
- Analysis involved ANOVA, cubic plots, and response surface methodologies.
Main Results:
- Incorporating AoE with optimized SIPX dosages increased copper grade by at least 15% with favorable recovery.
- Optimal conditions for HG sample recovery (93.64%) were identified: 0.001 kg/t sodium silicate, 0.005 kg/t SIPX, and 0.00125 kg/t AoE.
- Ideal conditions for an optimized HG sample grade of 3% were 0.00175 kg/t sodium silicate, 0.005 kg/t SIPX, and 0.0005 kg/t AoE.
Conclusions:
- The novel ester-based collector blend significantly improves copper flotation performance.
- Optimized reagent dosages are critical for maximizing both copper grade and recovery.
- Validation experiments confirmed the reliability and accuracy of the statistical model predictions.
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