Analysis of defects on machined surfaces of aluminum alloy (Al 7075) using imaging and topographical techniques

A. Dahnel, Muhamad Ali Abdul Ghani, N. A. Raof, Suhaily Mokhtar, N. K. M. Khairussaleh
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Abstract

Aluminum alloys 7075 (Al 7075) are widely used for various industrial components in which machining operations are often conducted during their manufacturing process. However, the machining operations could introduce defects on the machined surfaces of the components which will be carried over and may lead to either issues in the subsequent fabrication process or failure during the products' service life. This study investigates the machined surface's defects of Al 7075 underwent drilling operations using imaging and topographical techniques which include optical microscope, scanning electron microscope and 3D surface profiler. Surface roughness was analysed with respect to the surface defects to investigate the correlation between the roughness parameters and topographical features of the machined surfaces. The defects found on the machined surfaces of Al 7075 are microcrack, adhesion, feed mark and burr. Surface roughness was found to be highly influenced by topographical features particularly feed mark. Thus, in addition to measuring the roughness, inspection through imaging and 3D topographic techniques is important for analyzing the surface characteristic in order to determine the defects, hence deducing the detailed surface features and deformation caused by the drilling operations.
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用成像和形貌技术分析铝合金(al7075)加工表面缺陷
铝合金7075 (Al 7075)广泛用于各种工业部件,在其制造过程中经常进行机械加工操作。然而,加工操作可能会在零件的加工表面上引入缺陷,这些缺陷将被延续下去,并可能导致后续制造过程中的问题或产品使用寿命期间的故障。本研究利用光学显微镜、扫描电镜和三维表面轮廓仪等成像和形貌技术,对Al 7075钻孔加工表面缺陷进行了研究。对表面缺陷进行了表面粗糙度分析,探讨了粗糙度参数与加工表面形貌特征之间的关系。在al7075加工表面发现的缺陷主要有微裂纹、附着、进给痕迹和毛刺。表面粗糙度受地形特征,特别是进给痕迹的影响很大。因此,除了测量粗糙度外,通过成像和三维地形技术进行检测对于分析表面特征以确定缺陷,从而推断出钻井作业引起的详细表面特征和变形非常重要。
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来源期刊
International Journal of Metrology and Quality Engineering
International Journal of Metrology and Quality Engineering Engineering-Safety, Risk, Reliability and Quality
CiteScore
1.70
自引率
0.00%
发文量
8
审稿时长
8 weeks
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