Drying stress and strain of wood: A Review
Q Yin, HH Liu - Applied Sciences, 2021 - mdpi.com
Wood drying stress causes various drying defects, which result from the wood microstructure
and the transfer of heat and mass during the drying. It is the fundamental way to solve the …
and the transfer of heat and mass during the drying. It is the fundamental way to solve the …
[HTML][HTML] Mechanical properties and probabilistic models of wood and engineered wood products: a review of green construction materials
Q Wang, Z Wang, X Feng, Y Zhao, Z Li - Case Studies in Construction …, 2024 - Elsevier
Wood and engineered wood products are green construction materials with excellent
mechanical properties, widely utilized in various buildings and bridges. This paper reviews …
mechanical properties, widely utilized in various buildings and bridges. This paper reviews …
An artificial neural network model for predicting compression strength of heat treated woods and comparison with a multiple linear regression model
This paper aims to design an artificial neural network model to predict compression strength
parallel to grain of heat treated woods, without doing comprehensive experiments. In this …
parallel to grain of heat treated woods, without doing comprehensive experiments. In this …
Assessing the accuracy of ANFIS, EEMD-GRNN, PCR, and MLR models in predicting PM2. 5
S Ausati, J Amanollahi - Atmospheric environment, 2016 - Elsevier
Since Sanandaj is considered one of polluted cities of Iran, prediction of any type of pollution
especially prediction of suspended particles of PM 2.5, which are the cause of many …
especially prediction of suspended particles of PM 2.5, which are the cause of many …
The prediction of MOE of bamboo-wood composites by ANN models based on the non-destructive vibration testing
G You, B Wang, J Li, A Chen, J Sun - Journal of Building Engineering, 2022 - Elsevier
The mechanical properties of bamboo-wood composites (BWC) remain crucial for potential
further employment. Nevertheless, the approach to detecting its mechanical properties is …
further employment. Nevertheless, the approach to detecting its mechanical properties is …
Optimization of some panel manufacturing parameters for the best bonding strength of plywood
Plywood is one of the most important wood based composites with its more than 81 million
m 3 production and a market value of approximately 19 billion dollars in exports and imports …
m 3 production and a market value of approximately 19 billion dollars in exports and imports …
Predicting modulus of rupture (MOR) and modulus of elasticity (MOE) of heat treated woods by artificial neural networks
In this study, MOR and MOE of the heat-treated wood were predicted by artificial neural
networks (ANNs). For this purpose, samples were prepared from beech wood (Fagus …
networks (ANNs). For this purpose, samples were prepared from beech wood (Fagus …
Predicting moisture content in kiln dried timbers using machine learning
The uniformity of final moisture content within a drying timber batch is crucial. Lack of such
uniformity leads to undesirable moisture ranges, thus producing large percentages of over …
uniformity leads to undesirable moisture ranges, thus producing large percentages of over …
Using artificial neural networks for modeling surface roughness of wood in machining process
Surface quality of solid wood is very important for its effective utilization in further
manufacturing processes. In this study, the effects of wood species, feed rate, number of …
manufacturing processes. In this study, the effects of wood species, feed rate, number of …
Harnessing artificial neural networks and linear regression models for modeling thermal modification processes: Characterization by FTIR and prediction of the …
Y Elrhayam, FE Bennani, M Berradi… - Journal of Analytical and …, 2024 - Elsevier
In the present study, an artificial neural network model and multiple linear regression
method were constructed to establish a relationship between the parameters of the thermal …
method were constructed to establish a relationship between the parameters of the thermal …