SLIDING WEAR PERFORMANCE OF NANO CUO PARTICLES - SHORT SISAL FIBERS - POLYAMIDE 66 HYBRID COMPOSITES

P. Rajasekhar, G. Ganesan, M. Senthilkumar
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Abstract

Polymers and their composites are being increasingly employed in view of their good strengths and corrosion resistance. The features that make the polymer composites in industrial applications are the opportunities to tailor their properties with special fillers. For instance, short carbon and glass fibers have been successfully employed to improve the strength and therefore the load carrying capacity of polyamide composites can also be improved Optimization of parameters is an important in the tribological process. Response surface methodology (RSM) based optimal parameter analysis was performed to investigate the change of responses like wear rate (WR) and coefficient of friction (COF) with the change of input parameters to determine optimum setting of process parameters such as normal force, sliding velocity and reinforcement for achieving minimum WR and COF. The regression model generates the response surfaces. The present study is to optimize the parameter setting for combined responses.
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纳米铜颗粒-短剑麻纤维-聚酰胺66混杂复合材料的滑动磨损性能
聚合物及其复合材料由于具有良好的强度和耐腐蚀性而得到越来越多的应用。使聚合物复合材料在工业应用中的特点是有机会使用特殊填料来定制其性能。例如,已成功地采用短碳纤维和玻璃纤维来提高聚酰胺复合材料的强度,从而也可以提高其承载能力,优化参数是摩擦学过程中的一个重要环节。基于响应面法(RSM)的最优参数分析,研究了磨损率(WR)和摩擦系数(COF)等响应随输入参数变化的变化规律,确定了法向力、滑动速度和配筋等工艺参数的最优设置,以实现最小的磨损率和摩擦系数。回归模型生成响应面。本研究旨在优化组合响应的参数设置。
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来源期刊
Academic Journal of Manufacturing Engineering
Academic Journal of Manufacturing Engineering Engineering-Industrial and Manufacturing Engineering
CiteScore
0.40
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