Investigating the influence of work piece geometry on the specific energy use in size reduction with a multi-blade shaft mill

This study investigated the specific milling energy of rectangular pine (Pinus sylvestris L.) boards using a new size reduction technology, which can produce fine wood powders in single-step operation. Multilinear regression (MLR) analysis was used to model multi-blade shaft mill through designed series experiments having three input parameters: moisture content board, blade speed and board feeding speed. The observed ranged from 60 172 kWh t−1 [DM] MLR showed it proportional content. results suggest that is two-dimension extension singular circular with regard work piece shape sawblade teeth engagement effects. findings were compared logs obtained previous study.