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A new method for evaluating the influences of surface topography on fatigue propriety of the random machined surfaces

机译:一种评估表面形貌对随机加工表面疲劳性能影响的新方法

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The Stress concentration factor (SCF) induced by the machined surface is more complex than that resulting from macro-geometry discontinuities and has great effect on fatigue life of structure. However, another important parameter, stress gradient (SG), was always ignored. The notch roots or valleys of the wave surface constitute fatigue hot points, where cracks occur, so it is essential to study the SCF and SG at valleys rather than just the root-mean-square SCF variable. In this work, a new method for evaluating the influences of surface topography on fatigue propriety of the random machined surfaces was given. An analytical method using Fourier transformation to simulate machined surface topography is presented. Analytical formulae for SCF and SG for random machined surfaces are derived subjected to a general loading and validate these formulae via finite element method (FEM). Joint probability-distribution function for SCF and SG at the valleys of the random machined-surface topography of the machined sample was obtained after different cycles fatigue test. This method gave us how the surface topography effect the fatigue properties of machined components. Fatigue test of machined sample for a single crystal nickel based alloy were established for validated this method. The obtained results should be useful in studying and evaluating fatigue properties of machined components.
机译:机加工表面引起的应力集中系数(SCF)比宏观几何不连续引起的应力集中系数更复杂,并且对结构的疲劳寿命有很大影响。但是,另一个重要参数应力梯度(SG)始终被忽略。波浪表面的缺口根或谷构成了疲劳热点,在该处出现裂纹,因此研究谷的SCF和SG至关重要,而不仅仅是均方根SCF变量。在这项工作中,给出了一种评估表面形貌对随机加工表面疲劳特性的影响的新方法。提出了一种使用傅里叶变换来模拟机加工表面形貌的分析方法。推导了随机加工表面上的SCF和SG的解析公式,并通过有限元方法(FEM)验证了这些公式。经过不同的循环疲劳试验,获得了机加工样品随机加工表面形貌谷处SCF和SG的联合概率分布函数。该方法为我们提供了表面形貌如何影响机加工部件的疲劳性能。建立了单晶镍基合金加工样品的疲劳试验,以验证该方法的有效性。获得的结果将有助于研究和评估机械零件的疲劳性能。

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