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Grey-Fuzzy Logic Based Approach in Multi-Response Optimization of Semi-Solid Forging of A356 Aluminium Alloy

机译:基于灰色模糊逻辑的A356铝合金半固体锻造的多响应优化方法

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摘要

This paper presents an effective approach for the optimization of the semi-solid forging process of A356 Al-alloy based on the orthogonal array with the grey relational analysis and fuzzy logic analysis. Through the grey-fuzzy logic analysis, the optimization of complicated multiple performance characteristics can be converted into the optimization of a single grey-fuzzy reasoning grade. In this semi-solid forging process of A356 Al-alloy, the forging process parameters, namely the forging temperature, percent deformation, and die temperature are optimized with considerations of multiple performance characteristics including the tensile strength and hardness. The experimental results for the optimal setting have shown that the above performance characteristics in the semi-solid forging process of A356 Al-alloy can be improved effectively together through this approach.
机译:本文介绍了基于灰色关系分析和模糊逻辑分析的正交阵列优化A356 Al合金半固体锻造过程的有效方法。通过灰色模糊逻辑分析,可以将复杂多种性能特性的优化转换为单个灰色模糊推理等级的优化。在A356 Al合金的这种半固态锻造过程中,锻造工艺参数,即锻造温度,变形百分比和模具温度经过多种性能特征,包括拉伸强度和硬度。最佳设定的实验结果表明,通过这种方法可以有效地提高A356 Al合金的半固体锻造过程中的上述性能特性。

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