摘要
目的为弥补目前磨损系数值均为近似值而非真实值,提出一种能够获得摩擦副真实磨损系数的可靠方法.方法开展氮化硅圆柱销与块体的磨损试验,获得块体磨损深度及表面形貌;基于有限元数值仿真与Umeshmotion子程序相结合实现氮化硅摩擦副磨损过程仿真分析;通过试验磨损形貌及深度与仿真磨损形貌及深度的对比,确定氮化硅材料的真实磨损系数.结果通过以上方法确定在接触载荷为40 N,干摩擦条件下,氮化硅陶瓷材料的磨损系数为1.825×10-7 MPa-1,与磨损系数的估计值(1.15×10-8 MPa-1)相比,准确率提高了59%.结论有限元方法能够考虑摩擦副接触界面各点处的局部压力,重现磨损试验的真实过程,因此采用有限元数值仿真与磨损试验相结合的方法能够有效、可靠地获得材料的真实磨损系数.
In order to compensate for the fact that the wear coefficients are approximate values rather than true values,a reliable method is proposed to obtain the true value of wear coefficients of friction pairs.The wear test of silicon nitride cylindrical pins and wear blocks has been carried out to acquire the wear depth and surface topography of the wear block.Based on the combination of finite element numerical simulation and Umeshmotion subroutine,the simulation analysis of the wear process of silicon nitride friction pairs is achieved.By comparing the wear appearance and depth gained from the test with the simulated wear appearance and depth,the true value of the wear coefficient of silicon nitride materials is determined.The wear coefficient of silicon nitride ceramics is 1.825×10-7 MPa-1 under the condition of dry friction and when the contact load is 40 N.Compared with the estimated wear coefficient(1.15×10-8 MPa-1),the accuracy has been improved by 59%.By taking the local pressure at each point of the contact interface of friction pairs into consideration,the finite element method can reappear the real process of the wear test.Therefore,the true value of the wear coefficient of materials can be obtained effectively and reliably by combining the finite element numerical simulation with a wear test.
作者
李颂华
李爽
张宇
曲秋红
LI Songhua;LI Shuang;ZHANG Yu;QU Qiuhong(School of Mechanical Engineering,Shenyang Jianzhu University,Shenyang,China,110168;National-Local Joint Engineering Laboratory of NC Machining Equipment and Technology of High-Grade Stone,Shenyang Jianzhu University,Shenyang,China,110168)
出处
《沈阳建筑大学学报（自然科学版）》
CAS
CSCD
北大核心
2020年第5期910-916,共7页
Journal of Shenyang Jianzhu University：Natural Science
基金
国家重点研发计划项目(2017YFC0703900-03)
辽宁省自然科学基金项目(20170540739)
沈阳市科技计划项目(RC170216)。
