首页|基于正交试验与回归分析的巷道内喷雾降尘后煤尘粒度预测

基于正交试验与回归分析的巷道内喷雾降尘后煤尘粒度预测

扫码查看
为探究影响喷雾降尘效果的主要因素对喷雾降尘后煤尘粒度的作用规律,获得表征影响因素与喷雾降尘后煤尘的粒径参数间定量的数学模型.基于搭建的喷雾除尘综合实验平台,应用正交试验和回归分析方法,研究喷雾架距尘源距离、巷道风速和喷嘴供水压力 3个因素作用下喷雾降尘后煤尘特征粒径D90 的变化规律,并对 25组试验结果进行相关性分析.通过均方差决策法,确定了各影响因素在喷雾降尘后煤尘D90 中所占的权重值.在此基础上,结合各影响因素的权重,构建了基于加权的喷雾降尘后煤尘D90 多元非线性回归预测模型,并将其与多元线性回归模型的预测结果进行了对比分析.研究结果表明:喷雾降尘后煤尘D90 随喷雾架距尘源距离的增加而降低,随风速的增加先增大后减小,随供水压力的增加而增加;全尘、呼尘降尘效率和D90 存在较强的正相关性,喷雾降尘效果越好,喷雾降尘后煤尘D90 越大;基于加权的喷雾降尘后煤尘D90 预测模型准确性更高,误差较小,可准确表征喷雾降尘后煤尘D90 与喷雾架距尘源距离、巷道风速和喷嘴供水压力 3个影响因素间的定量关系.
Prediction of coal dust particle size after spraying dust reduction in roadway based on orthogonal experiment and regression analysis
In order to investigate the main factors affecting the effect of spray dust reduction on the particle size of coal dust after spray dust reduction,a quantitative mathematical model was obtained to characterize the quantitative relationship between the influencing factors and the particle size parameters of coal dust after spray dust reduction.Based on the comprehensive experimental platform for spray dust removal,orthogonal experiments and regression analysis methods were applied to study the change rule of coal dust characteristic particle size D90 after spray dust reduction under the effect of three factors,namely,spray frame distance from dust source,tunnel wind speed and nozzle water supply pressure,and correlation analysis was carried out on 25 groups of experimental results.The weight value of each in-fluencing factor in the coal dust D90 after spray dust reduction was determined by the mean square variance decision making method.On this basis,combined with the weights of each influencing factor,a weighted-based multivariate nonlinear regression prediction model of coal dust D90 after spraying dust reduction was constructed,and its prediction results were compared and analyzed with those of the mul-tivariate linear regression model.The results show that:the coal dust D90 after spray dust reduction decreases with the increase of the dis-tance from the dust source to the spray frame,increases and then decreases with the increase of wind speed,and increases with the in-crease of water supply pressure,and there is a strong positive correlation between full dust,exhaled dust reduction efficiency and D90,the better the spray dust reduction effect,the larger the coal dust D90 after spray dust reduction;the weighting-based prediction model of coal dust D90 after dust spraying has higher accuracy and smaller error,and can accurately characterize the quantitative relationship between coal dust D90 after dust spraying and three influencing factors,namely,the distance of the spray frame from the dust source,the wind speed of the roadway,and the water supply pressure of the nozzle.

coal dust particle size distributionspray dust reduction efficiencyorthogonal experimentregression analysismean square deviation decision method

江丙友、章玉前、余昌飞、计犇、王浩宇、刘壮

展开 >

安徽理工大学工业粉尘防控与职业安全健康教育部重点实验室,安徽 淮南 232001

安徽理工大学安全科学与工程学院,安徽 淮南 232001

安徽理工大学深部煤炭安全开采与环境保护全国重点实验室,安徽 淮南 232001

煤尘粒径分布 喷雾降尘效率 正交试验 回归分析 均方差决策法

2024

煤炭科学技术
煤炭科学研究总院

煤炭科学技术

CSTPCD北大核心
影响因子:2.095
ISSN:0253-2336
年,卷(期):2024.52(12)