Nadir Ayrilmis

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...

Epoxy polymer composites reinforced using Caryota biofiber: fiber characterization, mechanical performance, and tribological behavior

Abstract In this study, the potential of a novel Caryota (CY) biofiber as a reinforcement for epoxy-based polymer composites was systematically evaluated. The fiber was characterized using scanning electron microscopy (SEM), energy-dispersive X-ray spectroscopy (EDS), X-ray diffraction (XRD), and Fourier transform infr...

A critical review on advances and future strategies in eco-friendly processing technologies of agro-based waste lignocellulosic fibers: driving sustainable innovation

Effects of heat treatment, Zn3BO6 addition, and their combination on the mechanical properties and water absorption behavior of beech wood/polypropylene composites

Individual and combined effects of thermal treatment and zinc borate (ZB) addition were studied relative to the mechanical properties and water resistance of oriental beech (Fagus orientalis Lipsky) wood-plastic composites (WPCs). Wood flour was thermally treated at 150 °C for 120 min under saturated steam before compo...