开发一种理论模型来估算聚合物复合材料的侵蚀磨损率

Raffi Mohammed
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摘要

如今,用合成纤维增强的聚合物材料因其较高的刚度、出色的强度重量比以及电、热和耐磨特性,在日常生活的几乎所有领域都发挥着令人难以置信的作用。与纤维增强复合材料相比,微填料或微粒在使用合成材料纤维增强的聚合物部件中的积聚可提高其性能。固体颗粒对聚合物复合材料工程部件的侵蚀是一个主要的工业问题,它受到部件机械特性和工作环境的显著影响。因此,研究聚合物复合材料的固体颗粒侵蚀特性至关重要。其中一个研究关注度较低的领域是颗粒填料和 E 玻璃纤维增强材料对侵蚀磨损特性的影响。由于其对科学和工业的重要性,该领域尤其需要对颗粒填料进行研究。此外,要正确设计机器或结构部件并使用可提高耐磨性的材料,就必须全面掌握每个系统变量对磨损率的影响。在这篇研究文章中,为了估算固体颗粒撞击复合材料所引起的侵蚀破坏,在不在喷气侵蚀试验台上进行实验的情况下,提出了一个理论模型。该理论模型的成功实施可降低实验成本,并具有良好的定量准确性。
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DEVELOPMENT OF A THEORETICAL MODEL TO ESTIMATE THE EROSION WEAR RATE OF POLYMER COMPOSITES
Nowadays Polymeric materials reinforced with synthetic fibers play an incredible role in almost all spheres of day-to-day life due to their elevated stiffness, outstanding strength-to-weight ratio, and electrical, thermal, and wear properties. The accumulation of micro-fillers or particulates in polymeric components reinforced with fibers made from synthetic materials may enhance their properties compared to fiber-reinforced composites. Solid particle erosion of engineering components made up of polymer composites is a major industrial problem, and it is significantly affected by the components' mechanical characteristics and their working environment. Therefore, it's essential to research the polymer composites' solid particle erosion properties. One area that has attracted less research attention is the impact of particle fillers and E-glass fiber reinforcing on erosion wear characteristics. Because of its significance to science and industry, research in this area is especially needed about particle fillers. Furthermore, to properly design a machine or structural component and use materials that will increase wear resistance, one must have a thorough grasp of how every system variable affects wear rate. In this research article, to estimate the erosion damage induced by solid particle impact on composites without conducting the experiment on an air jet erosion test rig, a theoretical model is proposed. The successful implementation of this theoretical model can reduce the experimentation cost with good quantitative accuracy.
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