Ö. Bozkurt

Optimizing formulation of raw materials, polymer type, filler size, and process temperature in wood polymer composites using deep learning-enhanced digital twin

Abstract An innovative predictive surrogate framework based on deep learning and particle swarm optimisation (PSO) has been used to efficiently integrate wood or other lignocellulosic reinforcements into wood-plastic composites (WPCs). A total of 300 high-throughput data points for the loading level of wood filler, par...