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Bogdan Bedelean
Bogdan Bedelean
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Jahr
Effective thermal conductivity models applied to wood briquettes
D Sova, M Porojan, B Bedelean, G Huminic
International Journal of Thermal Sciences 124, 1-12, 2018
242018
Effect of the dowel length, dowel diameter, and adhesive consumption on bending moment capacity of heat-treated wood dowel joints
S Georgescu, AM Varodi, S Răcășan, B Bedelean
BioResources 14 (3), 6619-6632, 2019
112019
Application of response surface methodology to optimization of wood drying conditions in a pilot-scale kiln
D Sova, B Bedelean, V Sandu
Baltic Forestry 22 (2), 348-356, 2016
112016
Optimization of Wood Particleboard Drilling Operating Parameters by Means of the Artificial Neural Network Modeling Technique and Response Surface Methodology
B Bedelean, M Ispas, S Răcășan, MN Baba
Forests 13 (7), 1045, 2022
92022
Combining Artificial Neural Network and Response Surface Methodology to Optimize the Drilling Operating Parameters of MDF Panels
B Bedelean, M Ispas, S Răcășan
Forests 14 (11), 2254, 2023
82023
Application of artificial neural networks and Monte Carlo method for predicting the reliability of RF phytosanitary treatment of wood
B Bedelean
European Journal of Wood and Wood Products 76 (4), 1113-1120, 2018
82018
Heating characteristics of softwoods in a high frequency field.
C LĂZĂRESCU, B BEDELEAN, S AVRAMIDIS
Pro Ligno 8 (4), 2012
82012
Comparative research on the structure, chemistry, and physical properties of Turkey oak and sessile oak wood
I Deaconu, M Porojan, MC Timar, B Bedelean, M Campean
BioResources 18 (3), 5724-5749, 2023
72023
Property Improvement of Thin High-Density Fiberboard Panels Used as Door-Skins.
N Badin, M Campean, K Lengyel, M Ispas, B Bedelean
BioResources 13 (1), 2018
72018
Comparison Between Artificial Neural Networks and Response Surface Methodology to Predict the Bending Moment Capacity of Heat-treated Wood Dowel Joints
VAM Racasan S, Bedelean B, Georgescu S
Bioresources 15 (3), 5764-5775, 2020
52020
Effect of heat treatment on compressive and tensile strength of end to edge butt joint.
S Georgescu, B Bedelean
52017
Improving properties of particleboards with reduced density
K Lengyel, MC Barbu, M Campean, N Badin, B Bedelean
Bioresources 13 (1), 1289-1302, 2018
42018
Predicting RF heating rate during pasteurization of green softwoods using artificial neural networks and Monte Carlo method
B Bedelean, C Lazarescu, S Avramidis
Wood Res 60 (1), 83-94, 2015
42015
Comparative analysis between a drying kiln designed with and without top baffles
B Bedelean
Journal of the Indian Academy of Wood Science 11, 39-44, 2014
42014
Performance assessment of a laboratory drying kiln designed with and without baffles.
B BEDELEAN, D ŞOVA
Pro Ligno 8 (2), 2012
42012
Investigations into possibility of minimising aerodynamic resistance of kiln drying stacks
B Bedelean, S Daniela
International Wood Products Journal 1 (2), 62-69, 2010
4*2010
Optimizing wood composite drilling with artificial neural network and response surface methodology
B Bedelean, M Ispas, S Răcășan
Forests 15 (9), 1600, 2024
32024
Applying the Artificial Neural Network and Response Surface Methodology to Optimize the Drilling Process of Plywood
B Bedelean, M Ispas, S Răcășan
Applied Sciences 13 (20), 11343, 2023
32023
The influence of the number and position of dowels on the bending moment capacity of heat-treated wood dowel joints
BI Bedelean, I Neculaes, CG Spirchez, S Racasan
Bulletin of the Transilvania University of Brasov. Series II: Forestry• Wood …, 2021
32021
Influence of various options to baffles setup on air velocity and its uniformity in a drying kiln.
B BEDELEAN
Pro Ligno 11 (4), 2015
32015
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