摘要
选择影响褐煤提取腐植酸过程的主要因素(搅拌时间、碱液浓度和温度)作为优化对象,应用Box-Benhnken的中心复合设计(CCD)和高等数学知识获得了可以用来预测响应值(提取率)的数学模型,模型的方差分析结果表明预测模型具有良好的预测性与适应性.通过响应面分析法优化了主要工艺条件,最佳工艺条件是:搅拌时间为82.32min,氢氧化钠溶液浓度为0.94mol/L,提取温度为65.83℃,由预测模型获得的最大提取率为82.19%.在预测的最佳工艺条件下进行实际实验,获得了与预测值相近的实验结果.
The main factors such as extraction time,concentration of alkaline solution and extraction temperature were chosen as parameters to optimize the process of extracting humic acid from lignite.Box-Behnken central composite design and advanced mathematics were applied to achieve the mathematical model that could predict the response（extraction rate）.Model variance analysis results showed that the prediction model had good prediction and adaptability.Main process conditions were optimized by the response surface analysis.Results showed that best technological conditions could be obtained when extraction time was 82.32 min,sodium hydroxide solution concentration was 0.94 mol/L and temperature was 65.83 ℃.Prediction model showed that the maximum extraction rate was 82.19%and the actual experiment obtained a similar result.
出处
《煤炭转化》
CAS
CSCD
北大核心
2014年第3期62-67,共6页
Coal Conversion
基金
国家自然科学基金资助项目(51264020)
关键词
褐煤
提取
腐植酸
优化
lignite
extraction
humic acid
op timization
