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基于响应面分析方法的石煤草酸浸出体系优化研究

中文摘要英文摘要

本文针对含钒石煤资源,开发清洁高效的草酸浸出提钒工艺,采用响应面法(RSM)优化浸出参数。首先通过单因素实验确定草酸浓度、液固比、温度和时间对钒浸出率的影响规律,并建立四因素三水平的Box-Behnken响应面模型。实验表明:草酸浓度和浸出温度对钒浸出率影响最为显著,建立的二次多项式模型决定系数R2=0.9878,验证了模型可靠性。优化得到最佳工艺条件温度137.42 ℃、时间4.22 h、草酸浓度12.29 wt.%、液固比2.72 mL/g,此时钒浸出率预测值达99.63%,实际验证平均值为98.26%,误差仅1.37%。该方法克服了传统硫酸体系污染严重的问题,为石煤提钒提供了环保高效的技术方案。

his study developed a clean and efficient oxalic acid leaching process for vanadium extraction from vanadium-bearing stone coal, employing Response Surface Methodology (RSM) to optimize leaching parameters. Single-factor experiments initially revealed the influence patterns of oxalic acid concentration, liquid-to-solid ratio, temperature, and time on vanadium leaching efficiency. A four-factor three-level Box-Behnken experimental design was subsequently established. Experimental results demonstrated that oxalic acid concentration and leaching temperature exerted the most significant effects on vanadium recovery. The constructed quadratic polynomial model exhibited a determination coefficient (R2=0.9878), confirming model reliability. Optimized conditions were determined as: temperature 137.42 ℃, duration 4.22 h, oxalic acid concentration 12.29 wt.%, and liquid-to-solid ratio 2.72 mL/g, achieving a predicted vanadium leaching rate of 99.63%. Practical verification yielded an average leaching rate of 98.26% with merely 1.37% deviation. This methodology effectively addresses the severe pollution issues associated with traditional sulfuric acid systems, providing an environmentally friendly and high-efficiency technical solution for vanadium extraction from stone coal.

王新淼、闫柏军

北京科技大学冶金与生态工程学院,北京 100083北京科技大学冶金与生态工程学院,北京 100083

有色金属冶炼

有色金属冶金含钒页岩草酸浸出响应面法工艺优化

Non-ferrous MetallurgyVanadium-bearing ShaleOxalic Acid LeachingResponse Surface MethodologyProcess Optimization

王新淼,闫柏军.基于响应面分析方法的石煤草酸浸出体系优化研究[EB/OL].(2025-05-09)[2025-05-12].http://www.paper.edu.cn/releasepaper/content/202505-23.点此复制

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