Issue |
Int. J. Metrol. Qual. Eng.
Volume 13, 2022
|
|
---|---|---|
Article Number | 12 | |
Number of page(s) | 8 | |
DOI | https://doi.org/10.1051/ijmqe/2022012 | |
Published online | 13 October 2022 |
Research Article
Analysis of defects on machined surfaces of aluminum alloy (Al 7075) using imaging and topographical techniques
Department of Manufacturing and Materials Engineering, International Islamic University Malaysia, 53100 Kuala Lumpur, Malaysia
* Corresponding author: aishahnajiah@iium.edu.my
Received:
9
August
2022
Accepted:
24
September
2022
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.
Key words: Aluminum alloy / machining / topography / defect / roughness
© A.N. Dahnel et al., published by EDP Sciences, 2022
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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