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首页> 外文期刊>Journal of Advanced Mechanical Design, Systems, and Manufacturing >Defects formation mechanism and evaluation of surface roughness in machining Al/SiCp composites
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Defects formation mechanism and evaluation of surface roughness in machining Al/SiCp composites

机译:Al / SiCp复合材料加工中的缺陷形成机理和表面粗糙度评估

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摘要

During machining Al/SiCp composites, the machined surface takes on many defects such as grooves, pits, voids and protuberances, which greatly affect the characterization parameters of surface topography. However, a detailed investigation of the formation mechanism of surface defects in machining Al/SiCp composites is still lacking, and few surface roughness evaluation methods have been developed for separating the surface defects from roughness. In this paper, the formation mechanism of surface defects is revealed, and a roughness extraction method based on DT-CWT is established to extract the surface defects from roughness and conduct a roughness evaluation on the machined surface of Al/SiCp composites. Compared with the least-square method and Gaussian filter, the roughness extraction method based on DT-CWT has higher stability and can effectively distinguish between surface roughness and surface defects. According to the surface roughness evaluation based on the roughness extraction method, it is found that the surface roughness value of 2024Al/SiCp composite is lower compared to 6063Al/SiCp composite.
机译:在加工Al / SiCp复合材料的过程中,加工后的表面会出现许多缺陷,例如凹槽,凹坑,空隙和凸起,这些缺陷会极大地影响表面形貌的表征参数。然而,仍缺乏对加工Al / SiCp复合材料中的表面缺陷的形成机理的详细研究,并且很少开发用于将表面缺陷与粗糙度分离的表面粗糙度评估方法。本文揭示了表面缺陷的形成机理,建立了基于DT-CWT的粗糙度提取方法,从粗糙度中提取表面缺陷,并对Al / SiCp复合材料的加工表面进行了粗糙度评估。与最小二乘法和高斯滤波器相比,基于DT-CWT的粗糙度提取方法具有更高的稳定性,可以有效地区分表面粗糙度和表面缺陷。根据基于粗糙度提取方法的表面粗糙度评估,发现2024Al / SiCp复合材料的表面粗糙度值比6063Al / SiCp复合材料低。

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