首页> 外文会议>International Conference on Manufacturing Science and Engineering >Multi-objective Inversion Design of Cutting Head by Hard Rock Boring Machine Based on Fuzzy Theory and Genetic Algorithms
【24h】

Multi-objective Inversion Design of Cutting Head by Hard Rock Boring Machine Based on Fuzzy Theory and Genetic Algorithms

机译:基于模糊理论和遗传算法的硬岩镗床切割头的多目标反转设计

获取原文

摘要

Along with the shearer's developed in the mining process, especially the rock tunnel boring roadway driving has become a major factor restricting the efficiency of coal, development of a suitable rock tunnel boring machine is very important, this paper use of rock excavation and after the release of stress concentration broken rock rolling theory, inverse problem approach using indirect parameters of the cutting head of, on the cutting head of the energy efficiency and the lowest maximum, minimum tool wear characteristics of multi-objective, were normalized, transformed into single objective problem, a genetic algorithm. The results showed that: the inversion of multi-objective design method is feasible to design a new type of driving hard rock cutting efficiency of institutions to provide 9%, compared with 20% reduction in energy consumption, lower tool wear 55.2% for the rock tunnel excavation needs.
机译:除了采煤过程中开发的采煤过程中,尤其是岩石隧道无聊道路驾驶已成为限制煤炭效率的主要因素,合适的岩石隧道镗床的发展非常重要,本文使用岩石挖掘和释放后的岩石挖掘机压力浓度破碎岩轧理论,使用切割头的间接参数的逆问题方法,在能效的切割头上,多目标的最大刀具磨损特性,被标准化,转化为单个客观问题,一种遗传算法。结果表明:多目标设计方法的反演是设计一种新型的驾驶硬岩切割效率,提供9%,减少能耗降低,较低的工具磨损55.2%的岩石隧道挖掘需求。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号