Numerical optimization of wear performance - Utilizing a metamodel based friction law

Numerical optimization of wear performance - Utilizing a metamodel based friction law
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磨损性能的数值优化 - 利用基于元模型的摩擦定律

DOI:
10.1016/j.compstruc.2015.11.013
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发表时间:
2016
影响因子:
4.7
通讯作者:
Kaliske
Kaliske
中科院分区:
工程技术2区
文献类型:
--
作者:
Serafinska;Hassoun;Kaliske

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在这方面的贡献,结构设计优化方法的重点是提高磨损性能,采用有限元分析和遗传优化算法,提出。基于本构磨损和摩擦方程,对两滑动体间的磨损进行了数值分析。由于局部应力集中被确定为磨损的起源,切向应力的局部特性应适当地捕获的装置的摩擦本构方程。因此,开发了一种新的摩擦模型,能够通过利用元模型,特别是人工神经网络来解释摩擦系数对接触界面中的局部接触压力和滑动速度的非线性依赖性。借助于所提出的摩擦本构方程,可以适当地计算由于摩擦引起的能量耗散率,该能量耗散率用于磨损模型内的磨损率的评估。数值磨损分析耦合到一个基于二进制编码的遗传算法的优化方法。由于几何结构的变化,由于磨损可以建模的帮助下,所利用的磨损分析,追求减少磨损量和规则的磨损分布的标准开发和实施到制定的优化任务。作为一个例子,所提出的方法的充气轮胎设计任务的应用。
In this contribution, a structural design optimization approach focusing on the enhancement of wear performance, which employs the finite element analysis and a genetic optimization algorithm, is presented. The numerical wear analysis between two sliding bodies is based on constitutive wear and friction equations. Since local stress concentrations are identified as the origin of wear, the local characteristics of tangential stresses should be appropriately captured by means of the constitutive equation for friction. Therefore, a new friction model is developed, enabling to account for the nonlinear dependency of the friction coefficient on the local contact pressure and sliding velocity in the contact interface through the utilization of metamodels, especially artificial neural networks. With the help of the proposed constitutive equation for friction, the energy dissipation rate due to friction, which is utilized for the evaluation of the wear rate within the wear model, can be properly calculated. The numerical wear analysis is coupled to an optimization approach based on a binary coded genetic algorithm. Since geometrical configuration changes due to wear can be modeled with the help of the utilized wear analysis, criteria to pursue a reduced wear volume and a regular wear distribution are developed and implemented into the formulation of the optimization task. The application of the presented methods to a pneumatic tire design task is shown as an example.
DOI: --
发表时间: 1996
期刊: Philosophical Transactions of the Royal Society of London. Series A: Mathematical, Physical and Engineering Sciences
影响因子: --
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发表时间: 2001
期刊:
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发表时间: 1939-02-01
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