摘要
为了降低刨煤机刨削比能耗、刨链损伤、刨刀磨损及提高日生产量,选择上行刨削深度、下行刨削深度、上行刨速、下行刨速、刨链预紧力为设计参数,采用改进NSGA-Ⅱ(Non-dominated sorting Genetic Algorithms)算法对刨煤机进行了多目标优化设计。优化结果表明:刨煤机比能耗降低了16.7%,刨刀磨损量降低了17.1%,刨链损伤降低了13.6%,日生产能力提高13.9%,大幅优化了刨煤机刨削参数及运行参数,有效提高了刨煤机的整机工作性能,为刨煤机的设计及改进提供了理论依据。
In order to reduce the energy consumption of the ploughing and cutting ratio,plough and chain failure and plough cutter wear and to improve the daily production,an upward ploughing and cutting depth,downward ploughing and cutting depth,upward ploughing speed,downward ploughing speed and plough and chain pre-tension were selected as the design parameters. An improved NSGA-II（ Nondominated sorting Genetic Algorithms） was applied to the multi-objective optimized design of the coal plough. The optimized results showed that the specific energy consumption of the coal plough was reduced by 16.7%,the wear loss of the plough cutter was reduced by 17.1%,the plough and chain failure was reduced by 13.6% and the daily production capacity of the plough was improved by 13.9%. The ploughing and cutting parameters and operation parameters of the plough were highly optimized and the total working performances of the plough were effectively improved and would provide the theoretical basis to the design and improvement of the coal plough.
出处
《煤炭科学技术》
CAS
北大核心
2017年第10期135-139,149,共6页
Coal Science and Technology
基金
国家科技重大专项资助项目(2012ZX04005-021)
河南省科技重点攻关资助项目(152102210196)
安阳工学院2014年度科研基金资助项目(yjj2014011)
关键词
刨煤机
改进NSGA-Ⅱ算法
多目标优化
coal plough
improved NSGA-II algorithm
multi-objective optimization
