Detection of grains in aluminium metal matrix composites using image fusion
Abstract Aluminium metal matrix composites are lightweight, corrosion-resistant, and extremely durable. Because of their low mass density, stiffness, and high specific strength, aluminium alloys with ceramic-reinforced particles are more appealing in aircraft, transportation, and industrial applicat...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Springer
2025-06-01
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| Series: | Discover Applied Sciences |
| Subjects: | |
| Online Access: | https://doi.org/10.1007/s42452-025-07197-6 |
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| Summary: | Abstract Aluminium metal matrix composites are lightweight, corrosion-resistant, and extremely durable. Because of their low mass density, stiffness, and high specific strength, aluminium alloys with ceramic-reinforced particles are more appealing in aircraft, transportation, and industrial applications. This piece of work illustrates an image fusion approach using discrete wavelet transform (DWT) for the detection of grains present in the hybrid composite to study the metallographic characterization. The fusion approach combines the same composite's images with different resolutions and intensities acquired by scanning electron microscope to produce an integrated image that is more suited for identifying grains and grain boundaries that are difficult to locate from images in other modalities. Some statistical evaluation measures are used to investigate the effectiveness and significance of the suggested fusion technique. The statistical measure’s indicate that the recommended methodology is commendable. According to the statistical analysis, the proposed fusion process successfully retains the maximal content of visual truth in material characterization, allowing for faster and more accurate metallographic characterization of hybrid composites. |
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| ISSN: | 3004-9261 |