表面技术2025,Vol.54Issue(17):67-79,13.DOI:10.16490/j.cnki.issn.1001-3660.2025.17.006
纳米镶嵌式自润滑采煤机滑靴摩擦性能优化
Optimization of Frictional Performance of Nano-embedded Self-lubricating Coal Mining Machine Sliding Shoe
摘要
Abstract
As a key component of the walking mechanism in coal mining machines,the sliding shoe plays a supportive and guiding role during operation.Due to the influence of mining processes and the harsh underground environment,the sliding shoe frequently undergoes friction and impact with conveyors and sprockets under complex loading conditions.Its contact surfaces are often contaminated with impurities such as sand,gangue,dust,and coal fragments.This makes the sliding shoe highly susceptible to damage and failure under heavy load,low speed,and dry friction conditions.Therefore,it is crucial to find more effective lubrication methods to enhance the service life and wear resistance of the coal mining machine guiding sliding shoe,so as to reduce its friction and wear losses. To address the severe frictional wear issue of coal mining machine sliding shoes,a nano-embedded self-lubricating coal mining machine sliding shoe is proposed,where solid self-lubricating materials are embedded into the contact surface of the sliding shoe.The study focuses on the optimal topology and texture distribution model of the nano-embedded self-lubricating coal mining machine sliding shoe,determining the optimal friction and wear parameters.Additionally,the surface friction and wear characteristics of the nano-embedded self-lubricating coal mining machine sliding shoe are investigated. Different nano-self-lubricating material-filled specimens are fabricated and tested using a friction and wear testing machine,so as to determine the friction coefficients of various materials,and select the best one.Through simulation studies,the friction force,volume wear,and frictional stress of sliding shoes with different topologies at texture area ratios of 10%,20%,and 30%are compared,and their overall performance are analyzed to identify the optimal topology.Two circular embedded structure models are established for simulation analysis,and the distribution and structural parameters are optimized using the response surface method to select the best embedded structure and parameters.Finally,the friction characteristics and wear conditions of the nano-embedded self-lubricating coal mining machine sliding shoes are verified through friction-wear tests and super-depth 3D microscopic observations. The optimal nano self-lubricating material identified through experiments is graphene,with an average friction coefficient of 0.1.A comprehensive analysis of friction force,volume wear rate,and frictional stress reveals that the optimal embedded structure topology is circular,with an average factor of 1.007.The best distribution and structural parameters for the embedded structure are a longitudinal center distance of 12.3 mm,lateral center distance of 11 mm,radius of 4.1 mm,and texture size parameters of 7.2 mm and 12.7 mm.The staggered distribution model exhibits the best friction-reducing lubrication effect.During friction,adhesive and abrasive wear occur on the surface.The staggered distribution model shows a global average friction coefficient of 0.1423,with a maximum surface scratch depth of 35.76 μm,reducing friction and scratch damage by 30.55%and 58.58%,respectively,compared with non-textured specimens.The main forms of surface damage include scratches,spalling,pits,and cracks. The circular staggered distribution of nano-embedded graphene self-lubricating coal mining machine slippers exhibits the best friction-reducing and lubrication performance,effectively enhancing the wear resistance and extending the service life of the sliding shoes.This provides valuable insights for the anti-wear design of coal mining machine sliding surfaces.关键词
纳米自润滑/镶嵌结构/摩擦磨损/采煤机滑靴Key words
nano self-lubrication/embedded structure/frictional wear/coal mining machine sliding shoes分类
机械制造引用本文复制引用
沈佳兴,杨景辉,范林浩,杨乐冲..纳米镶嵌式自润滑采煤机滑靴摩擦性能优化[J].表面技术,2025,54(17):67-79,13.基金项目
辽宁省教育厅项目(LJ212410147032)Liaoning Provincial Department of Education Project(LJ212410147032) (LJ212410147032)