Optimal Modified Starch Content in UF Resin for Glulam Based on Bonding Strength Using Artificial Neural Network

Optimal Modified Starch Content in UF Resin for Glulam Based on Bonding Strength Using Artificial Neural Network

The purpose of this study was to present an application of the artificial neural network (ANN) that predicts the bonding strength of glulam manufactured from plane tree (<i>Platanus orientalis</i> L.) wood layers adhered with a combination of modified starch adhesive and UF resin. Bondin...

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Bibliographic Details
Main Authors: Morteza Nazerian, Masood Akbarzade, Payam Ghorbanezdad, Antonios N. Papadopoulos, Elham Vatankhah, Dafni Foti, Mojtaba Koosha
Format: Article
Language:English
Published: MDPI AG 2022-09-01
Series:Journal of Composites Science
Subjects:
glulam
bonding strength
modified starch
nano zinc oxide
urea/formaldehyde resin
ANN
Online Access:https://www.mdpi.com/2504-477X/6/10/279

Internet

https://www.mdpi.com/2504-477X/6/10/279

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