Abstract：In order to improve the efficiency of reducing dust for roadheader external spray, reduce amounts of dust in coal heading face, better mining working face environment and human health, enhance cutting head service life of the roadheader, the mathematical models of the efficiency for reducing dust are established for roadheader external spray, the main influence parameters of efficiency of reducing dust for roadheader external spray are optimized by using genetic algorithm and by taking the spray pressure, spray effective length, spray diffusion angle, and nozzle diameter as design parameters, the maximum efficiency of reducing dust for roadheader external spray is chosen as optimal objective. Corresponding constraint conditions are established, and the optimization model is processed without constraints. Optimized results indicate while the spray pressure increases 9.79%, the spray effective length reduces 8%; the spray diffusion angle reduces 11.15%, and the efficiency of reducing dust increases 15.19% for roadheader external spray. The study provides a theory basis for engineering practice, offers the basis both for the entire optimization of the structural parameters of roadheader external spray system and for the entire functions reaching at their best, and furnishes important reference for modeling and optimizing methods of roadheader internal spray system with some guidance significances.
沙永东;李晓豁;康晓敏;侯静. 基于遗传算法的掘进机外喷雾降尘效率最大的参数优化[J]. , 2012, 30(26): 35-38.
SHA Yongdong;LI Xiaohuo;KANG Xiaomin;HOU Jing. The Parameter Optimization of the Maximum Efficiency of Reducing Dust for Roadheader External Spray Based on Genetic Algorithm. , 2012, 30(26): 35-38.
2012, Vol. 30 
