id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
brj-23240	Eroğlu, Mustafa Altay; Altun, Suat; Ciritcioğlu, Hasan Hüseyin	Modeling of Mechanical Properties of Wood-Polymer Composites with Artificial Neural Networks	2024	18	.pdf	application/pdf	8025	386	55	4468 Modeling of Mechanical Properties of Wood-Polymer Composites with Artificial Neural Networks Mustafa Altay Eroğlu,a,* Suat Altun,b and Hasan Hüseyin Ciritcioğlu c Mechanical properties (tensile strength (TS), modulus of elasticity in tensile (MET), flexural strength (FS), modulus of elasticity (MOE)) of the material to be obtained depending on the production parameters in the production of high-density polyethylene (HDPE) wood-polymer composites with Scots pine wood flour additive were predicted using Artificial Neural Networks (ANN) model and without destructive testing. The variety of materials and production parameters used in the manufacture of wood polymer composites results in a wide range of mechanical properties of the resulting material.	cache/brj-23240.pdf	txt/brj-23240.txt