基于AFSA算法的掘进机外喷雾效率最高的参数优化设计  

Parameter Optimization of Maximum External Spray Efficiency for Roadheader Base on AFSA Algorithm

作　　者：李晓豁[1] 邓云 朴京爱[1] 战林 

机构地区：[1]辽宁工程技术大学机械工程学院,阜新123000 [2]郑州四维机电设备制造有限公司,郑州450001

出　　处：《世界科技研究与发展》2012年第3期387-389,426,共4页World Sci-Tech R&D

基　　金：国家自然科学基金(59774033);中国煤炭工业协会科学技术研究指导性计划项目(MTKJ-08-311);国家煤矿安全监察局安全生产科技发展指导性计划项目(05-082);辽宁省第二批科学技术计划项目(2008403010);辽宁省安全生产监督管理局安全生产科技发展(辽安监规划[2009]88号文)资助

摘　　要：为了提高掘进工作面的降尘效率,通过对喷雾降尘机理的研究,分析了影响降尘效率的因素,建立了纵轴式掘进机外喷雾降尘效率的数学模型。以外喷雾降尘效率最高为优化目标,采用人工鱼群算法(AFSA)对喷雾压力、喷嘴和工作面的距离、喷嘴直径和喷嘴的雾化角进行了优化。优化的结果表明,在保证一定的雾流流量和一定的雾粒存活时间的条件下,喷雾的耗水量减少了3.48%,降尘效率增加了15.33%。该项研究对于合理设计掘进机外喷雾参数,提高喷雾降尘性能,改善掘进工作面环境等具有一定的指导作用和参考价值。In order to improve the spraying efficiency of leading face, affecting factors of reducing dust efficiency are analyzed by studying the mechanism of reducing dust with spray. Mathematical models of reducing dust efficiency by external spray are established for longitudinal roadheader. With maximum extemal spray efficiency chosen as the optimization objective, spray pressure, distance from nozzle to forming dust place, nozzle diameter and nozzle spray angle are optimized by AFSA algorithm （AFSA）. Optimized results indicate that spray water con- sumption reduction of 3.48 % and spraying reddce dust efficiency increase of 15.33 % are gotten when spraying flow and spray particles＇ sur- vival time are constant. The study indicates some guidance and reference value for designing reasonably spray parameters of roadbeader, improving the performance of reducing dust, making better the environment of leading face.

关 键 词：纵轴式掘进机 外喷雾 降尘效率 AFSA算法 

分 类 号：TD714.4[矿业工程—矿井通风与安全]