Development of an Artificial Neural Network Model to Minimize Power Consumption in the Milling of Heat-Treated and Untreated Wood

ÖZŞAHİN, ŞÜKRÜ; Singer, Hilal

doi:10.17475/kastorman.662699

Development of an Artificial Neural Network Model to Minimize Power Consumption in the Milling of Heat-Treated and Untreated Wood

Atıf İçin Kopyala

ÖZŞAHİN Ş., Singer H.

KASTAMONU UNIVERSITY JOURNAL OF FORESTRY FACULTY, cilt.19, sa.3, ss.317-328, 2019 (ESCI)

Yayın Türü: Makale / Tam Makale
Cilt numarası: 19 Sayı: 3
Basım Tarihi: 2019
Doi Numarası: 10.17475/kastorman.662699
Dergi Adı: KASTAMONU UNIVERSITY JOURNAL OF FORESTRY FACULTY
Derginin Tarandığı İndeksler: Emerging Sources Citation Index (ESCI), TR DİZİN (ULAKBİM)
Sayfa Sayıları: ss.317-328
Karadeniz Teknik Üniversitesi Adresli: Evet

Özet

Aim of study: The power consumption of machining operations is an important part of the total production cost. Therefore, in this study, an artificial neural network (ANN) model was developed to model the effects of treatment, rotation speed, cutting depth, and feed rate on power consumption in the wood milling process.