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A Study on Using Glass Micro-Spheres in Erosion Resistant Coatings and Polymer Composites

机译:玻璃微球在耐蚀涂料和聚合物复合材料中的应用研究

摘要

The present work reports the performance of a new class of glass micro-sphere based coatings and glass micro-sphere filled polymer composites with emphasis on the general trends observed in their properties and erosion wear behavior. A wealth of property data has been generated by conducting various tests under controlled laboratory conditions and the analysis of the test results is presented in the thesis.ududThe quality of coating in terms of mechanical, micro-structural and functional characteristics depends on a large number of variables that include both materials as well as operational parameters. While the composition of coating material and the substrate play an important role in determining the coating quality, the influence of plasma torch input power is also equally important; thisudis reflected in the research findings of the present investigation. This work suggests that glass micro-spheres are coatable and deposition of such coatingsudon metallic substrates using plasma spraying route is possible. The variations of different coating characteristics such as coating adhesion strength,deposition efficiency, coating thickness and micro-hardness with the plasma torch input power are evident in the illustrations presented in this thesis. These coatings possess desirable characteristics such as good adhesion strength, hardness etc.Pre-mixing of micro-sized Al2O3 or TiO2 particles improves the coatability of glass micro-spheres. Such coatings also exhibit improved interfacial adhesion strength. The strength is greatly affected by the plasma torch input power. ududGlass micro-sphere possesses ample reinforcing potential to be used as a functional filler in both thermoset and thermoplastic polymers. Successful fabrication of epoxy composites reinforced with glass micro-spheres is possible by simple hand-lay-up technique. Similarly, glass micro-sphere filled polypropylene composites can be fabricated by injection/compression molding routes. These glass micro-sphere filled composites possess very low amount of ix porosity (maximum ≈ 2%) and improved micro-hardness. They also exhibit improved impact strength as compared to that of the neat polymers. The tensile and flexural strength of the composites are affected, though marginally, by the weight fraction of glass micro-spheres in the composites. With improved hardness, these composites have the potential to be used in wear relatedudapplications. ududSolid particle erosion wear characteristics of glass micro-sphere coatings and glass micro-sphere filled polymer composites have been successfully analyzedudusing Taguchi technique. Significant factors affecting the erosion rate of these coatings and composites are identified through successful implementation ofudsignal-to-noise response approach. Two predictive models; one based on artificial neural networks (ANN) approach and the other on Taguchi approach are proposed in this work. It is demonstrated that these models well reflect the effects of various factors on the wear loss and their predictive results are consistent with the experimental observations. Neural computation is successfully applied in this investigation to predict and simulate the wearudresponse of these coatings and composites under various test conditions within and beyond the experimental domain.
机译:本工作报告了新型的基于玻璃微球的涂料和玻璃微球填充的聚合物复合材料的性能,重点是观察到的性能和侵蚀磨损行为的总体趋势。通过在受控的实验室条件下进行各种测试,已经获得了大量的性能数据,并且在本文中对测试结果进行了分析。 ud ud在机械,微观结构和功能特性方面,涂层的质量取决于大量的变量,包括材料和操作参数。虽然涂层材料和基材的成分在决定涂层质量方面起着重要作用,但等离子炬输入功率的影响也同样重要。这反映在本次调查的研究成果中。这项工作表明玻璃微球是可涂覆的,并且可以使用等离子喷涂路线沉积此类涂层/乌冬面金属基材。在本文给出的图示中,可以明显看出等离子炬输入功率对不同涂层特性如涂层附着强度,沉积效率,涂层厚度和显微硬度的影响。这些涂层具有所需的特性,例如良好的粘合强度,硬度等。预先混合微米级的Al2O3或TiO2颗粒可改善玻璃微球的可涂布性。这样的涂层还表现出改善的界面粘合强度。强度受等离子炬输入功率的很大影响。玻璃微球具有足够的增强潜力,可在热固性和热塑性聚合物中用作功能性填料。通过简单的手糊技术可以成功地制造用玻璃微球增强的环氧复合材料。类似地,玻璃微球填充的聚丙烯复合材料可以通过注射/压缩成型路线来制造。这些玻璃微球填充的复合材料具有极低的ix孔隙率(最大≈2%)和更高的显微硬度。与纯聚合物相比,它们还显示出改进的冲击强度。复合材料的玻璃微球的重量分数对复合材料的拉伸强度和弯曲强度有一定的影响,尽管影响很小。这些复合材料具有提高的硬度,有可能用于与磨损有关的 ud应用中。 使用田口技术已经成功地分析了玻璃微球涂料和玻璃微球填充的聚合物复合材料的固体颗粒侵蚀磨损特性。通过成功实施“ 信噪比”响应方法,可以确定影响这些涂层和复合材料腐蚀速率的重要因素。两种预测模型;本文提出了一种基于人工神经网络(ANN)的方法,另一种基于田口方法的方法。结果表明,这些模型很好地反映了各种因素对磨损的影响,其预测结果与实验观察结果一致。神经计算已成功应用于这项研究中,以预测和模拟这些涂层和复合材料在实验范围内外的各种测试条件下的磨损/响应。

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    Gupta Gaurav;

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  • 年度 2015
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