散热器对PEEK/钢副摩擦热效应的影响(基于OpenFOAM模型的数值计算和实验)

T. Kogawa, Nao Ogasawara, D. Mori, T. Akagaki
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引用次数: 0

摘要

PEEK材料由于具有较高的机械耐久性,已被应用于电厂系统的滑动轴承系统中。在PEEK材料的固体摩擦中,由于摩擦热引起的温度升高导致试样的摩擦系数迅速增大,因此摩擦热成为重要的因素。为了保持PEEK材料的低摩擦系数,需要开发有效的PEEK材料冷却方法。本文提出了一种将散热器贴附在PEEK材料上的被动冷却方法。为了对PEEK材料的冷却方法进行评价,采用开源软件OpenFOAM建立了计算模型。利用OpenFOAM的一些函数和库,对散热器的摩擦热、热阻和换热系数进行了建模。进行了滑动轴承实验,测量了环试件内温度和摩擦系数随时间的变化。将环形试件的温度变化与计算结果进行了比较。从数值计算结果来看,所建立的计算模型在适当模拟摩擦系数、热阻和换热系数变化的情况下,可以模拟实验中得到的环的温度时间变化。最后,对所考虑情况下OpenFOAM的计算预测能力进行了评价。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Effects of heat sink on frictional heat effect in PEEK/Steel Pair(Numerical calculation using OpenFOAM model and experiments)
The PEEK material has been applied to a sliding bearing system in a power plant system because of its high mechanical durability. In the solid friction of the PEEK materials, the frictional heat becomes the important factor because the temperature increasing due to the frictional heat causes the rapidly increasing of the frictional coefficient of the specimen. In order to maintain the low frictional coefficient of the PEEK materials, the effective cooling method for the PEEK materials needs to be developed. In this study, the passive cooling method, which attaches the heat sink to the PEEK materials, was suggested. For evaluating the suggested cooling method of the PEEK materials, the calculation model adopting OpenFOAM, which is the open source software, has been developed. Adopting some functions and library of OpenFOAM, the frictional heat, heat resistance, and heat transfer coefficient on the heat sink were modeled. The sliding bearing experiment was conducted and time variation of the temperature and friction coefficient in the ring specimen were measured. The temperature variation in the ring specimen was compared with the calculation result. From the numerical calculation results, the developed calculation model could simulate the temperature time variation of the ring obtained in the experiment, when variation of the frictional coefficient, heat resistance, and heat transfer coefficient were modeled appropriately. Finally, the calculation predict ability using OpenFOAM in the considered situation was evaluated.
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