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Analysis of some top surface treatment materials with the artificial neural network method

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info:eu-repo/semantics/closedAccess

Date

2021

Author

Tan, Hüseyin

Metadata

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Citation

Tan, H. (2021). Analysis of some top surface treatment materials with the artificial neural network method. Fresenius Environmental Bulletin, 30 (11 A), 12421-12429.

Abstract

In this study, the effect of nano technological varnish on some mechanical properties (such as bending strength, modulus of elasticity and compressive strength) of oriental spruce (Picea orientails L. Link) wood and the effect of boric acid on mechanical properties of nano-technological varnished wood were investigated. Moreover, it was aimed to estimate bending strength, modulus of elasticity and compressive strength values of impregnated and nano-technological varnished wood material by using artificial neural network models. Nano-technological varnish increased the bending strength, modulus of elasticity and compressive strength parallel to fiber of the samples. It was found that MAPE values are low for bending strength, modulus of elasticity and compressive strength. This situation showed that artificial neural network (ANN) gives very successful results.

Source

Fresenius Environmental Bulletin

Volume

30

Issue

11A

URI

https://hdl.handle.net/11436/6467

Collections

  • Teknik Bilimler Meslek Yüksekokulu Koleksiyonu [201]
  • WoS İndeksli Yayınlar Koleksiyonu [5260]



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