Machine learning-assisted wood materials: Applications and future prospects

Y Feng, S Mekhilef, D Hui, CL Chow, D Lau - Extreme Mechanics Letters, 2024 - Elsevier
Wood and wood-based materials, surpassing their conventional image as mere stems and
branches of trees, have found extensive utilization in diverse industrial sectors due to their …

Advances in wood drying research and development

D Elustondo, N Matan, T Langrish, S Pang - Drying Technology, 2023 - Taylor & Francis
Wood drying is a key operation of wood processing to ensure that the wood retains its
physical integrity and stability in remanufacturing and in use. However, in industrial drying …

The role of drying schedule and conditioning in moisture uniformity in wood: A machine learning approach

S Rahimi, V Nasir, S Avramidis, F Sassani - Polymers, 2023 - mdpi.com
Monitoring the moisture content (MC) of wood and avoiding large MC variation is a crucial
task as a large moisture spread after drying significantly devalues the product, especially in …

Machine learning-based prediction of internal moisture variation in kiln-dried timber

S Rahimi, S Avramidis, F Sassani… - Wood Material Science & …, 2024 - Taylor & Francis
Monitoring the moisture content uniformity in kiln-dried wood and preventing large gradients
is vital as nonuniformity renders dried timbers susceptible to warpage and degrade. This …

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, 2022 - mdpi.com
Drilling is one of the oldest and most important methods of processing wood and wood-
based materials. Knowing the optimum value of factors that affect the drilling process could …

Benchmarking moisture prediction in kiln-dried Pacific Coast hemlock wood

S Rahimi, V Nasir, S Avramidis… - … Wood Products Journal, 2022 - journals.sagepub.com
The uniformity of final moisture content within a drying timber batch is crucial. Lack of such
uniformity leads to producing large percentages of over-dried and under-dried timber …

Intelligent Lumber Production (Sawmill 4.0): Opportunities, Challenges, and Pathways to Adoption

V Nasir, S Rahimi, A Mohammadpanah… - … Systems: Data Driven …, 2024 - Springer
In transiting from automated to smart lumber manufacturing, the sawmilling industry should
adopt cutting-edge technologies for efficient and cost-effective lumber production. This …

Decoding dynamic bamboo cell shrinkage with time-lapse microscopy and machine-learning

L Liu, Z Fang, Y Zhang, S Wang, L Zhang… - Industrial Crops and …, 2024 - Elsevier
The shrinkage of bamboo can be traced to the cellular scale; however, research on the
shrinkage of bamboo cells' scale is rare. This gap primarily arises from the intrinsic …

In-situ shrinkage/swelling behavior and displacement based on vascular bundle morphological difference

J Yuan, Q Wei, Z Liu, B Mi, Q Chen, L Chen… - Industrial Crops and …, 2024 - Elsevier
The swelling/shrinking behavior is a complex process of interactions between multiscale
structures, and it is also a major problem affecting the processing and utilization of bamboo …

Drying behavior of hardwood components (sapwood, heartwood, and bark) of red oak and yellow-poplar

S Rahimi, K Singh, D DeVallance, D Chu, M Bahmani - Forests, 2022 - mdpi.com
This paper presents differences in the drying behavior of red oak and yellow-poplar
sapwood, heartwood, and bark and their relationship with selected physical characteristics …