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Aydın Demir
Aydın Demir
Forest Industry Engineering, Karadeniz Technical University
在 ktu.edu.tr 的电子邮件经过验证 - 首页
标题
引用次数
引用次数
年份
Determination of CNC processing parameters for the best wood surface quality via artificial neural network
A Demir, EO Cakiroglu, I Aydin
Wood Material Science & Engineering 17 (6), 685-692, 2022
212022
Comparison of Birch and Beech Wood in Terms of Economic and Technological Properties for Plywood Manufacturing
EO Cakiroglu, A Demir, I Aydin
Drvna industrija: Znanstveni časopis za pitanja drvne tehnologije 70 (2 …, 2019
172019
The effect of some technological properties of plywood panels on seismic resistant performance of wooden shear wall
A Demir, C Demirkir, I Aydin
Sigma J Eng & Natur Sci 10 (1), 37-45, 2019
102019
Effect of veneer drying temperature on thermal conductivity of veneer sheets.
İ Aydın, A Demİr, H Ozturk
102015
Yangın Geciktirici Emprenye Maddelerinin Çeşitli Ağaç Türlerinden Üretilen Kontrplakların Isıl İletkenliğine Etkileri
A Demir
Yüksek Lisans Tezi, KT Ü., Fen Bilimleri Enstitüsü, Trabzon, 2014
102014
Effects of CNC processing parameters on surface quality of wood-based panels used in furniture industry
A Demir, EO Cakiroglu, I Aydin
Drv. Ind 73, 363-371, 2022
82022
Formaldehyde release from plywood manufactured with two types of urea formaldehyde resins after fire retardant treatment of veneers
A Demir, I Aydin, H Ozturk
Drvna industrija 69 (2), 193-199, 2018
82018
Prediction of optimum CNC cutting conditions using artificial neural network models for the best wood surface quality, low energy consumption, and time savings
EO Çakıroğlu, A Demir, İ Aydın, Ü Büyüksarı
BioResources 17 (2), 2501, 2022
72022
Optimization of Veneer Drying Temperature for the Best Mechanical Properties of Plywood via Artificial Neural Network
Ş Özşahin, A Demir, İ Aydın
Journal of Anatolian Environmental and Animal Sciences 4 (4), 589-597, 2019
62019
Some technological properties of plywood after fire retardant treatment in different concentrations.
A Demır, I Aydın, EA Salca
62017
Some techonological properties of plywood produced using with nylon waste as adhesive
S Colak, H Ozturk, A Demir
İleri Teknoloji Bilimleri Dergisi 5 (2), 21-27, 2016
62016
Effect of fire retardant chemicals on formaldehyde emission of plywood
D Aydin, A Ismail, O Hasan
Proceedings of the 25th International Scientific Conference, 63-66, 2014
62014
Determination of the effect of valonia tannin when used as a filler on the formaldehyde emission and adhesion properties of plywood with artificial neural network analysis
A Demir
International Journal of Adhesion and Adhesives 123, 103346, 2023
52023
Optimization of pressing parameters for the best mechanical properties of wood veneer/polystyrene composite plywood using artificial neural network
H Ozturk, A Demir, C Demirkir
European Journal of Wood and Wood Products 80 (4), 907-922, 2022
52022
Determination of the surface characteristics of medium density fibreboard processed with CNC machine and optimisation of CNC process parameters by using artificial neural network
A Demir, AU Birinci, H Ozturk
CIRP Journal of Manufacturing Science and Technology 35, 929-942, 2021
52021
Determination of the optimum feed rate and spindle speed depending on the surface roughness of some wood species processed with CNC machine
EO Çakıroğlu, A Demir, İ Aydın
Journal of Anatolian Environmental and Animal Sciences 4 (4), 598-601, 2019
52019
Investigation of some surface properties and thermogravimetric analysis of veneer sheets treated with fire retardants
A Demir, I Aydin
Maderas. Ciencia y tecnología 21 (1), 25-34, 2019
52019
The effects of fire retardant chemicals on thermal conductivity of plywood produced from different wood species
A Demir
Master’s Thesis, 2014
52014
Surface free energy, wettability and bonding of plywood after fire-retardant treatment with various chemicals
A Demir, I Aydin
Journal of Adhesion Science and Technology 37 (2), 284-295, 2023
42023
Effect of various fire retardant chemicals in different concentrations on formaldehyde emission of plywood
A Demir, I Aydin, S Çolak
Kastamonu University Journal of Forestry Faculty 17 (3), 509-516, 2017
42017
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