College of Forestry

WBC LIFE Forms

Q-08-LE: Optimization of log conditioning and peeling process and online monitoring of veneer surface roughness by cost-effective sensory framework for producing high-quality veneer and wood products with enhanced properties

PI: Scott Leavengood, Vahid Nasir, Mariapaola Riggio, and Lawrence Schimleck | Site: OSU
 

Development of an intelligent monitoring model for real-time estimation of veneer surface roughness using lathe vibration data and veneer roughness information to predict the bonding performance of veneer-based products.