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Optimization of Machining Process Parameters for Surface Roughness of Al-Composites

机译:复合材料表面粗糙度的加工工艺参数优化

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Metal matrix composites (MMCs) have become a leading material among the various types of composite materials for different applications due to their excellent engineering properties. Among the various types of composites materials, aluminum MMCs have received considerable attention in automobile and aerospace applications. These materials are known as the difficult-to-machine materials because of the hardness and abrasive nature of reinforcement element-like silicon carbide particles. In the present investigation Al-SiC composite was produced by stir casting process. The Brinell hardness of the alloy after SiC addition had increased from 74 ± 2 to 95 ± 5 respectively. The composite was machined using CNC turning center under different machining parameters such as cutting speed (S), feed rate (F), depth of cut (D) and nose radius (R). The effect of machining parameters on surface roughness (Ra) was studied using response surface methodology. Face centered composite design with three levels of each factor was used for surface roughness study of the developed composite. A response surface model for surface roughness was developed in terms of main factors (S, F, D and R) and their significant interactions (SD, SR, FD and FR). The developed model was validated by conducting experiments under different conditions. Further the model was optimized for minimum surface roughness. An error of 3-7 % was observed in the modeled and experimental results. Further, it was fond that the surface roughness of Al-alloy at optimum conditions is lower than that of Al-SiC composite.
机译:金属基复合材料(MMC)凭借其出色的工程性能,已成为针对不同应用的各种类型复合材料中的领先材料。在各种类型的复合材料中,铝MMC在汽车和航空航天应用中受到了相当大的关注。由于增强元素状碳化硅颗粒的硬度和磨蚀性,这些材料被称为难加工材料。在本研究中,Al-SiC复合材料是通过搅拌铸造工艺生产的。加入SiC后合金的布氏硬度分别从74±2增加到95±5。使用CNC车削中心在不同的加工参数下加工复合材料,例如切削速度(S),进给速度(F),切削深度(D)和刀尖半径(R)。使用响应表面方法研究了加工参数对表面粗糙度(Ra)的影响。具有每个因素三个级别的面心复合材料设计用于开发的复合材料的表面粗糙度研究。根据主要因素(S,F,D和R)及其显着相互作用(SD,SR,FD和FR)开发了用于表面粗糙度的响应表面模型。通过在不同条件下进行实验来验证所开发的模型。此外,针对最小表面粗糙度对模型进行了优化。在建模和实验结果中观察到3-7%的误差。此外,还认为在最佳条件下铝合金的表面粗糙度低于Al-SiC复合材料的表面粗糙度。

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