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Parametric modeling and optimization for wire electrical discharge machining of Inconel 718 using response surface methodology

机译:使用响应面方法对Inconel 718的电火花线加工进行参数化建模和优化

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摘要

Inconel 718 is a high-nickel-content superalloy which possesses excellent strength at elevated temperatures and resistance to oxidation and corrosion. This alloy has wide applications in the manufacturing of aircraft engine parts such as turbine disks, blades, combustors and casings, extrusion dies and containers, and hot work tools and dies, but the inherent problems in machining of superalloys with conventional techniques necessitate the use of alternative machining processes. The wire electrical discharge machining (WEDM) process has been recently explored as a good alternative of conventional machining methods, but there is lack of data and suitable models for predicting the performance of WEDM process particularly for Inconel 718. In the present work, empirical modeling of process parameters of the WEDM has been carried out for Inconel 718 using a well-known experimental design approach called response surface methodology. The parameters such as pulse-on time, pulse-off time, peak current, spark gap voltage, wire feed rate, and wire tension have been selected as input variables keeping others constant. The performance has been measured in terms of cutting rate and surface roughness. The models developed are found to be reliable representatives of the experimental results with prediction errors less than +/- 5 %. The optimized values of cutting rate and surface roughness achieved through multi-response optimization are 2.55 mm/min and 2.54 mu m, respectively.
机译:Inconel 718是一种高镍含量的高温合金,在高温下具有出色的强度,并具有抗氧化和抗腐蚀性能。这种合金在飞机发动机零件的制造中具有广泛的应用,例如涡轮盘,叶片,燃烧器和壳体,挤压模具和容器以及热加工工具和模具,但是采用常规技术加工高温合金所固有的问题使得必须使用替代加工过程。近年来,已经探索了电火花加工(WEDM)工艺作为传统加工方法的一种很好的选择,但是缺乏数据和合适的模型来预测WEDM工艺的性能,尤其是对于Inconel718。在当前工作中,经验建模已经使用称为响应面方法的众所周知的实验设计方法对Inconel 718进行WEDM的工艺参数设置。选择了诸如脉冲接通时间,脉冲断开时间,峰值电流,火花隙电压,焊丝进给速率和焊丝张力之类的参数作为输入变量,其他参数保持不变。已经根据切削速度和表面粗糙度测量了性能。发现开发的模型是实验结果的可靠代表,预测误差小于+/- 5%。通过多响应优化获得的切削速率和表面粗糙度的优化值分别为2.55 mm / min和2.54μm。

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