基于多元回归及路径分析的煤尘沉降效果定量模型研究
Research on quantitative model of coal dust settlement effect based on multiple regression and path analysis
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摘要: 为研究煤尘沉降效果的影响因素并定量地表示各因素之间的关系，基于煤样工业分析、表面张力试验及沉降试验选定参数并建立定量模型，采用多元回归及路径分析法对沉降效果定量模型改进和优化。结果表明：煤尘沉降效果主要与煤的灰分、固定碳含量、粒径、表面活性剂的分子量、浓度、表面张力相关，其中表面活性剂溶液质量分数与煤尘粒径对沉降效果影响更显著；煤尘沉降效果在煤灰分与挥发分含量及表面活性剂分子量越大，表面活性剂质量分数与表面张力及煤固定碳含量越低时表现越好；沉降效果定量模型可用于对中等变质程度煤尘沉降实验结果的预测。Abstract: In order to study the influencing factors of coal dust settlement effect and quantitatively express the relationship between the factors, based on the industrial analysis of coal sample, surface tension experiment and settlement experiment, the parameters are selected and the quantitative model is established. The multiple regression and path analysis method are used to improve and optimize the quantitative model of settlement effect. The results show that the settling effect of coal dust is mainly related to ash content, fixed carbon content, particle size, surfactant molecular weight, concentration and surface tension of surfactant, and the concentration of surfactant solution and particle size of coal dust have more significant effects on settlement effect; the higher the content of coal ash and volatile matter and the molecular weight of surfactant, the lower the concentration and surface tension of surfactant and the fixed carbon content of coal, the better the settlement effect of coal dust; the quantitative model of settlement effect can be used to predict the experimental results of medium rank coal dust settlement.
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期刊类型引用(2)
1. 张鹏莉，葛少成，庞星宇，孙丽英，姚文军，陈曦，年军. 磁化复配表面活性剂对难浸润煤尘润湿改性的量化研究. 中国安全生产科学技术. 2023(08): 80-86 . 
百度学术
2. 刘铠诚，郭睿，刘容川，乔洪磊. 基于多元回归模型的钙质土固结特性优化模型. 科技与创新. 2022(16): 67-70 . 百度学术
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