Effects of Inlet Moisture Content on Drying Performance and Feed Value of Italian Ryegrass Using a Multi-Stage Conveyor-Type Hot-Air Dryer
This study demonstrated that inlet moisture content is a critical factor influencing drying efficiency, production rate prediction accuracy, and feed value changes of Italian ryegrass (IRG) in a multi-stage conveyor-type hot-air forage dryer. The experiment was conducted by uniformly loading IRG at a fixed drying height of approximately 25 cm with four different inlet moisture contents (30, 40, 50, and 60%). Drying time increased exponentially with increasing inlet moisture content, and a strong linear relationship was observed between inlet moisture content and the time required to reach 15% moisture, enabling the development of a reliable drying time prediction model. The proposed model showed high applicability and prediction accuracy at inlet moisture contents of 30–40%, where predicted and measured production rates were in close agreement. However, at inlet moisture contents of 60% or higher, the model substantially overestimated production rates, indicating limitations under high-moisture conditions. This behavior was attributed to reduced airflow penetration and diminished heat and mass transfer efficiency caused by increased material thickness and particle mass at high moisture levels. Feed value analysis revealed that crude protein content decreased by 12–20% following hot-air drying compared with fresh material, while ether extract, crude ash, and fiber components were not significantly affected. No significant differences in crude protein loss were observed among treatments with inlet moisture contents of 60% or lower. In conclusion, the multi-stage conveyor-type hot-air dryer and the proposed prediction model are suitable for drying Italian ryegrass at inlet moisture contents of 40% or lower and can be effectively applied under practical operating conditions. However, at inlet moisture contents of 60% or higher, improvements in airflow distribution within the dryer or the incorporation of moisture-dependent correction factors are required to enhance drying performance and prediction accuracy.