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Experimental Investigation and Prediction of Flatness and Surface Roughness during Face Milling Operation of WCB Material

机译:WCB材料面部研磨操作期间平坦度和表面粗糙度的实验研究及预测

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In this work, effect of machining parameters spindle speed, feed and depth of cut were investigated during Face Milling of Wrought Cast Steed grade B (WCB). WCB is widely used in manufacturing valves due to its less cost. 23 full factorial design with four centre points is selected to perform the reliable experiments. Here the response parameters selected are surface roughness and flatness, a form control of Geometric Dimensioning & Tolerancing (GD&T). The values of flatness and surface roughness affect a lot during leakage testing of dual plate check valve. To achieve the desire value of flatness and surface roughness machining parameters need to be controlled. The right selection of process parameters can be achieved through a predictive model. ANOVA has been carried out to know the significance of input parameters. The values predicted from the model and experimental values are very close to each other.
机译:在这项工作中,研究了在面部研磨的锻炼镍渣B级(WCB)的磨削过程中加工参数主轴速度,进给和深度的影响。由于其成本较低,WCB广泛用于制造阀。 23选择具有四个中心点的完整因子设计,以执行可靠的实验。这里,选择的响应参数是表面粗糙度和平坦度,形成几何尺寸和公差(GD&T)的形式控制。在双板止回阀泄漏测试期间平坦度和表面粗糙度的值会影响很多。为了实现平坦度和表面粗糙度加工参数的欲望值,需要控制。可以通过预测模型实现过程参数的正确选择。 ANOVA已经开展了解输入参数的重要性。从模型和实验值预测的值彼此非常接近。

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