Author/Authors
BUDAKÇI, Mehmet Düzce Üniversitesi - Teknoloji Fakültesi - İmalat Mühendisliği Bölümü, Turkey , AKKUŞ, Memiş Düzce Üniversitesi - Teknik Eğitim Fakültesi - Mobilya ve Dekorasyon Eğitimi Bölümü, Turkey
Title Of Article
Modeling The Resistance of the Veneer Adhesion Strength on Some Wood Based Panels by Artificial Neural Networks
شماره ركورد
15717
Abstract
In this study, the use of Artificial Neural Networks (ANN), which are one of the artificial intelligence methods used in many areas obtaining the values closer to the actual data results, in quality control tests of furniture and decoration elements is intended. First of all to provide example data for training inputs on experimental study was made. With this purpose the average adhesion strength of wood veneer and laminate on surface of 18 mm particleboard, medium density fiberboard (MDF) and ply-wood material in different amount (100, 150, 200 g/m²) which were glued with isocyanate were determined. Afterwards, interval values of glue amount factor which are 125 g/m² and 175 g/m², were modeled by ANN. A result of obtained data it was determined that using ANN for the quality control of furniture and decoration elements, as a non-destructive analysis to be an alternative method.
From Page
63
NaturalLanguageKeyword
Artificial neural networks , particleboard , medium density fiberboard , ply , wood , isocyanate glue
JournalTitle
Journal Of Polytechnic
To Page
71
JournalTitle
Journal Of Polytechnic
Link To Document