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Optimization of the Surface Roughness Parameters of Ti–Al Intermetallic Based Composite Machined by Wire Electrical Discharge Machining

机译:电线电气放电加工加工Ti-Al金属间复合材料表面粗糙度参数的优化

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This work presents a comprehensive research using the Taguchi method and response surface methodology (RSM) to predict surface roughness parameters in wire electrical discharge machining (WEDM) manufacturing for a novel Ti–Al intermetallic based composite that was developed at Supmeca, a composite design laboratory for aeronautical applications in Paris, France. At the first stage, a detailed microstructure analysis was carried out on this composite. After that, the cutting parameters of the WEDM process were determined: Start-up voltage U, Pulse-on-time Ton, speed advance S and flushing pressure p were selected to find out their effects on surface roughness Ra. In the second stage, analyses of variance (ANOVA) were used as the statistical method to define the significance of the machining parameters. After that, an integrated method combining the Taguchi method and the response surface methodology (RSM) was used to develop a predictive model of the finish surface. The microstructure of the surface and subsurface of the cut edge, the micro-cracks, debris and craters and surface roughness of the specimens cut at the altered conditions were evaluated by scanning electron microscopy (SEM) and 3D-Surfscan.
机译:该工作采用了综合研究,使用Taguchi方法和响应面方法(RSM)来预测用于在Supmeca,复合设计实验室开发的新型Ti-Al金属间组合材料中的线放电加工(WEDM)制造中的表面粗糙度参数用于法国巴黎的航空应用。在第一阶段,对该复合材料进行了详细的微观结构分析。之后,确定了WEDM过程的切割参数:选择启动电压U,选择脉冲导通时间,速度预付款和冲洗压力P,以找出它们对表面粗糙度Ra的影响。在第二阶段,使用方差(ANOVA)的分析用作定义加工参数的重要性的统计方法。之后,使用组合Taguchi方法和响应表面方法(RSM)的集成方法来开发表面表面的预测模型。通过扫描电子显微镜(SEM)和3D-Surfscan评估切割边缘,微裂纹,碎屑和裂隙剂的表面和地下的微观结构,微裂纹,碎屑和凹凸,并在改变条件下切割的样品的表面粗糙度。

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