This software establishes a machine learning model between adhesive strength and process parameters such as temperature, pressure, and time. It can quickly find the optimal process window that ensures the lowest release of harmful substances like formaldehyde while maintaining adhesive quality. The advantage lies in directly assisting enterprises in producing high-quality glued wood products that meet the highest environmental standards (such as ENF level).
