Modeling the water absorption rate of wood impregnated with silicone-based chemicals using an artificial neural network

• Autorzy: Gürgen Ayşenur , Kiliç Ceyhun , Yildiz Ümit Cafer , Yildiz Sibel

Identyfikatory

DOI

10.12841/wood.1644-3985.283.07

• Języki publikacji: EN

Abstrakty

EN

In this study, the water absorption rate of wood impregnated with silicone-based chemicals was predicted by an artificial neural network (ANN). For this purpose, spruce (Picea orientalis L.) and beech (Fagus orientalis L.) wood samples impregnated with five commercial silicone-based chemicals were tested. Wood specimens were impregnated with these chemicals in concentrations of 10% and 50%, and the water absorption rates of samples at different times (2, 4, 8, 24, 48, 72, 168 and 336 hours) were calculated. These results were then modeled by an ANN. Wood species, silicone-based chemical, concentration and time in water were used as the input variables, and water absorption rate as the output variable. The results show that an ANN can be used successfully for predicting the water absorption rate of wood impregnated with silicone-based chemicals.

Słowa kluczowe

EN

artificial neural networks; beech, modeling; silicone-based chemicals; spruce; water absorption

• Wydawca: Sieć Badawcza Łukasiewicz - Poznański Instytut Technologiczny
• Czasopismo: Drewno : prace naukowe, doniesienia, komunikaty
• Rocznik: 2019
• Tom: vol. 62, nr 204
• Strony: 55--69
• Opis fizyczny: Bibliogr. 27 poz., rys., tab.

Twórcy

autor

Gürgen Ayşenur

• Karadeniz Technical University, Faculty of Forestry, Department of Forest Industry Engineering, Trabzon, Turkey

autor

Kiliç Ceyhun

• Department of Non-Forest Products, Eastern Karadeniz Forestry Research Institute, Trabzon, Turkey

autor

Yildiz Ümit Cafer

• Karadeniz Technical University, Faculty of Forestry, Department of Forest Industry Engineering, Trabzon, Turkey

autor

Yildiz Sibel

• Karadeniz Technical University, Faculty of Forestry, Department of Forest Industry Engineering, Trabzon, Turkey

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Uwagi

Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2020).