Measurement, analysis and prediction of fretting wear damage in a representative aeroengine spline coupling
Measurement, analysis and prediction of fretting wear damage in a representative aeroengine spline coupling
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DOI：
10.1016/j.wear.2004.08.003
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发表时间：
2004-12-01
期刊：
影响因子：
5
通讯作者：
Soh, HP
中科院分区：
文献类型：
--
作者：
Ratsimba, CHH;McColl, IR;Soh, HP
描述了一种预测复杂联轴器中微动磨损的方法，并对从一个缩小规模的航空发动机型花键联轴器承受复杂的循环载荷情况下获得的结果进行了验证。该方法使用三维有限元分析，连同从行程控制的圆对平微动磨损试验获得的摩擦系数数据，以确定花键齿接触压力和滑移分布;后者作为加载循环次数的函数。一个修改后的Archard方程是用来计算磨损深度的接触压力和滑移分布使用的磨损系数从圆对平微动试验。的滑移分布，并伴随着，磨损分布，被发现强烈地依赖于，摩擦系数，这反过来又取决于润滑状态和加载周期数。对于恒定的摩擦系数，随着加载循环次数的增加，滑移分布迅速稳定。对于缩尺航空发动机型联轴器的基本载荷控制试验，该方法预测在轻度润滑条件下的磨损比不添加润滑条件下的磨损更大。磨损深度趋势预测正确，无论是轴向沿着花键齿和周围的齿面，和预测的磨损深度括号的测量值，取决于所考虑的润滑条件;后者归因于花键磨损的敏感性，在测试过程中不断变化的摩擦系数。该方法为进一步发展奠定了基础。(C)2004 Elsevier B. V.保留所有权利。
A methodology to predict fretting wear in complex couplings is described and validated against results obtained from a reduced scale aeroengine-type spline coupling subjected to complex cyclic load cases. The methodology uses three-dimensional finite element analysis, together with coefficient of friction data obtained from stroke controlled round-against-flat fretting tests, to determine spline tooth contact pressure and slip distributions; the latter as a function of number of loading cycles. A modified Archard equation is used to calculate wear depths from the contact pressure and slip distributions using wear coefficients obtained from the round-against-flat fretting tests. The slip distributions, and, concomitantly, the wear distributions, are found to depend strongly on the,coefficient of friction, which, in turn, depends on the state of lubrication and number of loading cycles. For constant coefficient of friction, the slip distributions stabilise quickly with increasing numbers of loading cycles. The methodology predicts greater wear under lightly lubricated conditions than without added lubrication for the essentially load-controlled tests on the reduced scale aeroengine-type coupling. The wear depth trends are predicted correctly, both axially along the spline teeth and around the tooth flank, and the predicted wear depths bracket the measured values, dependent on the lubrication conditions considered; the latter attributable to the sensitivity of spline wear to the evolving coefficient of friction during testing. The methodology provides a basis for further development. (C) 2004 Elsevier B.V. All rights reserved.