中国安全科学学报 ›› 2023, Vol. 33 ›› Issue (1): 88-94.doi: 10.16265/j.cnki.issn1003-3033.2023.01.0175

• 安全工程技术 • 上一篇    下一篇

基于响应面法的抑尘剂组分配比优选模型

李明(), 唐姣, 宋欣筑, 杨怀振, 李治   

  1. 中南大学 资源与安全工程学院,湖南 长沙 410083
  • 收稿日期:2022-09-12 修回日期:2022-12-11 出版日期:2023-01-28 发布日期:2023-07-28
  • 作者简介:

    李明 (1979—),男,湖南怀化人,博士,副教授,博士生导师,主要从事粉尘控制技术与理论、矿山安全与环保等方面的研究。E-mail:

    李治, 副教授

  • 基金资助:
    国家自然科学基金资助(51674289); 中南大学中央高校基本科研业务费专项资金资助(2022ZZTS0146); 中南大学研究生创新项目(2021XQLH003)

Optimization model of dust suppressant component ratio based on response surface methodology

LI Ming(), TANG Jiao, SONG Xinzhu, YANG Huaizhen, LI Zhi   

  1. School of Resources and Safety Engineering, Central South University, Changsha Hunan 410083, China
  • Received:2022-09-12 Revised:2022-12-11 Online:2023-01-28 Published:2023-07-28

摘要:

为解决抑尘剂多功能组分优选过程中存在的非线性问题,提出基于响应面法(RSM)的抑尘剂配比优化模型,在分析影响因素与响应值、各影响因素之间的交互作用特征的基础上,通过分析响应面的变化特征获得抑尘剂的最优配比。采用星点设计法,以润湿、保湿、黏结组分的体积分数为自变量,以粉尘沉降时间、失水率和风蚀率为因变量,在室内试验数据的基础上,开展多元线性方程拟合和方差分析,获得最优配比的预测结果,并进行试验验证。研究结果表明:星点设计—RSM模型的预测值与试验值偏差小于6.0%,优选组相比对照组(水)而言,粉尘沉降时间缩短23倍,失水率和风蚀率分别降低3.00%和2.64%,说明优选组具有优良的润湿、保湿和黏结性能,证明所构建的优化模型对抑尘剂多组分非线性优化问题具有良好的预测性能。

关键词: 响应面法(RSM), 抑尘剂, 配比优选, 星点设计, 非线性优化

Abstract:

In order to solve the nonlinear problem of the optimization process for dust suppressants composed of multi-functional components, a ratio optimization model was proposed based on the response surface method. The variation laws among the influencing factors and between the influence factors and response values were discussed, and the optimal formula of dust suppressant was obtained according to the results of response surface analysis. Based on the central composite design method, the volume fractions of wetting, moisturizing and bonding components were taken as the independent variables, and the dust deposition time, water loss rate and wind erosion rate were taken as the dependent variables. The equation fitting of multiple linear and variance analysis were carried out according to the data of the laboratory experiment, and the prediction results of the optimal formula were obtained, and then a test was carried out to verify the results. The variance analysis and verification test show that the deviation between the predicted values and the experimental values is less than 6.0%. Compared with the control group (water), the dust deposition time of the optimized group is 23 times faster. The water loss rate and wind erosion rate are 3.00% and 2.64% lower, respectively. It shows that the optimized group has excellent wetting, moisturizing and bonding properties, which proves that the optimization model has good predictive performance for the nonlinear problem of the optimization process for multi-components dust suppressant.

Key words: response surface methodology(RSM), dust suppressant, ratio optimization, central composite design, nonlinear optimization