首页> 外文期刊>The International Journal of Advanced Manufacturing Technology >Single and multiobjective optimization of Inconel 718 nickel-based superalloy in the wire electrical discharge machining
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Single and multiobjective optimization of Inconel 718 nickel-based superalloy in the wire electrical discharge machining

机译:Inconel 718镍高超合金中的单一和多目标优化在线电气放电加工

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摘要

Inconel 718 is widely used in high-temperature environments, high-performance aircraft, and hypersonic missile weapon systems; however, it is very difficult to machine using conventional techniques. This study employed an L9 Taguchi orthogonal array for the analysis of wire electrical discharge machining parameters when used for the machining of Inconel 718. Our aim was to determine the optimal combination of parameters to minimize surface roughness while maximizing the material removal rate. The Taguchi method is widely applied in mechanical engineering with the aim of identifying the optimal combination of processing parameters as they pertain to single quality characteristics. Unfortunately, Taguchi analysis often leads to contradictory results when seeking to rectify multiple objectives. To resolve this issue, this study implemented gray relational analysis in conjunction with Taguchi method to obtain the optimal combination of parameters to deal specifically with multiple quality objectives. For the dual objectives of surface roughness and material removal rate, the optimal combination of parameters derived using gray relational analysis resulted in a mean surface roughness of 2.75 mu m. In L9 orthogonal array experiments, run 1 produced the best gray relational grade with mean surface roughness of 2.80 mu m, representing an improvement of 1.8%. The material removal rate achieved after the application of gray relational analysis was 0.00190 g/s, whereas the L9 experiment achieved a material removal rate of 0.00123 g/s, representing an improvement of 54.5%.
机译:Inconel 718广泛应用于高温环境,高性能飞机和高超声音导弹武器系统;然而,使用传统技术非常困难。该研究采用了L9 Taguchi正交阵列,用于分析用于加工Inconel 718的加工线电气放电加工参数。我们的目的是确定参数的最佳组合,以最大限度地减少材料粗糙度,同时最大化材料去除率。田口方法被广泛用识别,因为它们涉及到单个质量特性处理参数的最佳组合的目的施加在机械工程。不幸的是,在寻求纠正多个目标时,Taguchi分析通常会导致矛盾的结果。为了解决这个问题,本研究结合Taguchi方法实现了灰色关系分析,以获得专门处理多种质量目标的最佳参数组合。对于表面粗糙度和材料去除率的双重目标,使用灰色关系分析的参数的最佳组合导致平均表面粗糙度为2.75μm。在L9正交阵列实验中,运行1产生了最佳的灰色关系等级,平均表面粗糙度为2.80 mu m,提高1.8%。在灰色关系分析施加后实现的材料去除率为0.00190g / s,而L9实验达到了0.00123g / s的材料去除率,其提高为54.5%。

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