Automobiles are significant sources of Carbon Footprint. To mitigate the Carbon Footprint and promote sustainability, the automobile industries are developing automobiles in compliance with the Circular Economy Model and therefore incorporating natural fiber-reinforced polymer composites for the body material on a wide scale. However, the sole incorporation of natural fiber as reinforcement to polymer composite materials may lead to premature mechanical failure. Therefore, this study examined the impact behaviour and cost of hybrid polymer composites composed of carbon fiber, hemp fiber, and ramie fiber for an automobile door panel. An experimental-based Machine Learning Framework was used to predict the Impact strength and cost of hybrid polymer composites for varied combinations of fiber volume fraction, fiber type, thickness, and fiber orientation. Crushing behaviour under Impact loading was analyzed through FEM for automobile door panels for the developed hybrid polymer composites. Furthermore, fractographic analyses were also carried out for the developed hybrid polymer composites.
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