工程设计学报2025，Vol.32Issue(1)：92-101,10.DOI:10.3785/j.issn.1006-754X.2025.04.118
掘进机回转台疲劳寿命预测及影响因素研究
Study on fatigue life prediction and influencing factors of roadheader rotary platform
摘要
Abstract
The rotary platform of the roadheader bears eccentric load and strong impact when cutting coal and rock,and its performance affects the working efficiency and safety of the roadheader.To explore the influencing factors of fatigue life of the rotary platform and identify the optimal service parameters of the roadheader,a fatigue life prediction method for the rotary platform based on the Kriging surrogate model and DEM-MFBD(discrete element method-multi flexible body dynamics)bidirectional coupling technology was proposed.Firstly,the spatial force models for the cutting part and rotary platform of the roadheader were established,and the force law of the cutting part and rotary platform was clarified.Then,the bidirectional rigid-flexible coupling dynamics simulation analysis for the rotary platform was conducted by combining RecurDyn and EDEM software to obtain the stress distribution of the rotary platform under the working condition.Finally,15 groups of service parameters of roadheader were selected by Latin hypercube sampling method as input,and the corresponding Kriging surrogate model was established with the fatigue life of the rotary platform as the response.The surrogate model was optimized by particle swarm optimization algorithm to obtain the fatigue life of the rotary platform under the optimal service parameters.The results showed that the fatigue life of the rotary platform was maximum when the cutting head speed of the roadheader was 54 r/min,the lateral swing speed of rotary platform was 1.003 m/min,and the vertical swing angle of cutting arm was 7°.Combining DEM-MFBD bidirectional coupling technology,Kriging surrogate model and particle swarm optimization algorithm to explore the optimal service parameters of the roadheader can provide new ideas for the optimization design of rotary components.关键词
回转台/DEM-MFBD双向耦合技术/疲劳寿命预测/Kriging代理模型/粒子群优化算法Key words
rotary platform/DEM-MFBD bidirectional coupling technology/fatigue life prediction/Kriging surrogate model/particle swarm optimization algorithm分类
矿山工程引用本文复制引用
田立勇,张佳豪,于宁,于晓涵,张硕..掘进机回转台疲劳寿命预测及影响因素研究[J].工程设计学报,2025,32(1):92-101,10.基金项目
国家自然科学基金面上项目(52174143) （52174143）
