MOISTURE CONTENT PREDICTION OF WOOD DRYING PROCESSUSING FUZZY LOGIC
Yazarlar (2)
Prof. Dr. Selahattin BARDAK Sinop Üniversitesi, Türkiye
Timuçin Bardak Bartın Üniversitesi, Türkiye
Makale Türü Açık Erişim Özgün Makale (Diğer hakemli uluslarası dergilerde yayınlanan tam makale)
Dergi Adı Acta Sci. Pol.Silv. Colendar. Ratio Ind. Lignar.
Dergi ISSN 2450-7997
Dergi Tarandığı Indeksler index copernicus, cab direct, ebsco publishing, agro
Makale Dili İngilizce Basım Tarihi 03-2019
Kabul Tarihi Yayınlanma Tarihi 30-03-2019
Cilt / Sayı / Sayfa 18 / 1 / 71–75 DOI 10.17306/J.AFW.2019.1.8
Makale Linki https://www.forestry.actapol.net/
UAK Araştırma Alanları
Veri Madenciliği
Özet
The fuzzy logic method might be used with various applications, for example, timber production, air conditioners, washing machines, and molecular biology. Fuzzy logic systems are trusted. At the same time easy to use and flexible. Temperatures and relative humidity vary depending on the room where the wood is used. Moisture in wood-based products is one of the key points. Because it directly affects the usage area and production. In the present study, the effects of temperature and drying time on moisture content were modeled and predicted in the wood drying process. For this purpose, the wood test materials were prepared, and their moisture contents were measured. The fuzzy logic model was established by taking references of the observed values. With this fuzzy logic model, the moisture contents of the wood were predicted in relation to drying temperature and time. Then, experimental results were compared with modeling data. 97.16% accuracy was observed with the fuzzy logic model.
Anahtar Kelimeler
BM Sürdürülebilir Kalkınma Amaçları
Atıf Sayıları
Google Scholar 3
MOISTURE CONTENT PREDICTION OF WOOD DRYING PROCESSUSING FUZZY LOGIC

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