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首页> 外文期刊>The International Journal of Advanced Manufacturing Technology >Optimisation of machining parameters of glass-fibre-reinforced plastic (GFRP) pipes by desirability function analysis using Taguchi technique
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Optimisation of machining parameters of glass-fibre-reinforced plastic (GFRP) pipes by desirability function analysis using Taguchi technique

机译:利用Taguchi技术进行期望函数分析来优化玻璃纤维增​​强塑料(GFRP)管的加工参数

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摘要

This paper presents a new approach for optimizing the machining parameters on turning glass-fibre-reinforced plastic (GFRP) pipes. Optimisation of machining parameters was done by an analysis called desirability function analysis, which is a useful tool for optimizing multi-response problems. In this work, based on Taguchi's L{sub}18 orthogonal array, turning experiments were conducted for filament wound and hand layup GFRP pipes using K{sub}20 grade cemented carbide cutting tool. The machining parameters such as cutting velocity, feed rate and depth of cut are optimized by multi-response considerations namely surface roughness, flank wear, crater wear and machining force. A composite desirability value is obtained for the multi-responses using individual desirability values from the desirability function analysis. Based on composite desirability value, the optimum levels of parameters have been identified, and significant contribution of parameters is determined by analysis of variance. Confirmation test is also conducted to validate the test result. It is clearly shown that the multi-responses in the machining process are improved through this approach. Thus, the application of desirability function analysis in Taguchi technique proves to be an effective tool for optimizing the machining parameters of GFRP pipes.
机译:本文提出了一种优化玻璃纤维增​​强塑料(GFRP)车削加工参数的新方法。通过称为合意函数分析的分析完成了加工参数的优化,这是优化多响应问题的有用工具。在这项工作中,基于Taguchi的L {sub} 18正交阵列,使用K {sub} 20级硬质合金切削刀具对细丝缠绕和手工敷设的GFRP管进行了车削实验。诸如切削速度,进给速度和切削深度之类的加工参数是通过多响应因素进行优化的,即表面粗糙度,后刀面磨损,弹坑磨损和加工力。使用来自期望函数分析的单独的期望值来获得针对多个响应的复合期望值。基于综合合意值,确定了最佳参数水平,并通过方差分析确定了参数的显着贡献。还将进行确认测试以验证测试结果。很明显,通过这种方法可以改善加工过程中的多响应。因此,期望函数分析在田口技术中的应用被证明是优化玻璃钢管道加工参数的有效工具。

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