Experimental and Numerical Computation of Delamination Factor of Hybrid Composite Laminates using Soft Computing Technique
Due to their enhanced qualities, such as high rigidity and high strength, fibre reinforced polymers are widely employed in the automotive and aviation industries. To reduce the weight of aviation components, hybrid laminates containing fibre and aluminium layers, such as ARALL (Aramid Aluminium Lami...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Polish Academy of Sciences
2025-06-01
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| Series: | Archives of Metallurgy and Materials |
| Subjects: | |
| Online Access: | https://journals.pan.pl/Content/135520/AMM-2025-2-16-Jenarthanan.pdf |
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| Summary: | Due to their enhanced qualities, such as high rigidity and high strength, fibre reinforced polymers are widely employed in the automotive and aviation industries. To reduce the weight of aviation components, hybrid laminates containing fibre and aluminium layers, such as ARALL (Aramid Aluminium Laminate) and GLARE (Glass Laminates Aluminum Reinforced Epoxy), have recently been developed. Due to the delamination surrounding the holes in GLARE composites, which is the main cause of their low quality, drilling operations are difficult. In this study, a statistical model for delamination during drilling is created using the Response Surface Methodology (RSM), with a core composite design which has two elements and three layers and it is also examined how the input parameters (spindle speed and feed rate) affect the output response (delamination) when working with fiber-metal laminates. The fuzzy logic technique is employed to predict the delamination factor as a function of diverse combination of the input process parameters. |
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| ISSN: | 2300-1909 |