Energy consumption forecasting for laser manufacturing of large artifacts based on fusionable transfer learning
Abstract This study Full UPH Panel Headboard presents an energy consumption (EC) forecasting method for laser melting manufacturing of metal artifacts based on fusionable transfer learning (FTL).To predict the EC of manufacturing products, particularly from scale-down to scale-up, a general paradigm was first developed by categorizing the overall p