1. School of Mechanical Engineering,Heilongjiang University of Science & Technology,Harbin　 150022,China; 2. Department of Academic Research,Hei-longjiang University of Science & Technology,Harbin　 150022,China

为研究煤岩截割破碎载荷谱特征及性能的评价方法,通过对实验瞬态载荷谱及其细观特征量的提取,提出载荷谱能量积聚段梯度、幅值增量和能量的3种特征量的算法,给出载荷谱细观特征推演宏观截割性能评价的数学描述,采用熵理论对载荷谱进行关联性分析,建立了载荷谱特征量熵和综合加权熵的数学模型,以截齿截割煤岩的力学过程为例,在时域范畴内探讨不同滚筒转速的煤岩破碎载荷谱特征及效果。结果表明:在最大切削厚度相同的条件下,载荷谱熵随转速增大呈增大的变化规律,随转速的增大,载荷谱序列的无序度随之增大,表征煤岩破碎程度和粉尘量的相对变化趋势,载荷谱特征量熵和综合加权熵与比能耗和破碎程度等性能指标间呈正相关性。提出的载荷谱熵模型与算法可作为截割性能评价的一种有效方法。

Aiming to research the feature and performance evaluation method of random load spectrum,this paper pres- ents three methods to describe the characteristics of the energy spectrum,including the gradient of the energy accumu- lation,the amplitude increment and the energy based on experimental transient load and meso-feature,and the meso- feature of random load spectrum are used to deduce the macro-cutting performance evaluation. In this paper,taking the mechanical process of cutting coal and rock as example,entropy theory is applied to analyze the correlation of random load spectrum,and the mathematical model of the feature entropy and the weighted entropy of the random load spec- trum are proposed to discuss the feature and effect of crushing load spectrum of coal and rock in the time domain. The results show that the load spectrum entropy is increased with the rotational speed increase at the same maximum cut- ting thickness,it reveals that the disorder degree of the load spectrum is also increased with the rotational speed in- crease,and illustrates the relative trend of coal-rock fragmentation and dust content,moreover,there is a positive corre- lation between the characteristic entropy and the weighted entropy of the load spectrum and the specific energy con- sumption and the degree of fragmentation. Hence,the proposed load spectrum entropy model and algorithm can be used as an effective method for the cutting performance evaluation.

国家自然科学基金面上资助项目(51674106；51274091)；

LIU Chunsheng,YUAN Hao,LI Degen,et al. Meso-feature of load spectrum and entropy model for cutting performance evaluation[ J]. Journal of China Coal Society,2017,42(9):2468-2474.