An Isothermal Surface Imaging and Transfer Learning Framework for Fast Isothermal Surface Prediction and 3D Temperature Field Reconstruction in Metal Additive Manufacturing

Key Points

• The research aims to develop a fast framework for predicting isothermal surfaces and reconstructing temperature fields in metal additive manufacturing.
• Utilized isothermal surface imaging techniques
• Applied transfer learning for data efficiency
• Implemented a 3D reconstruction approach
• Achieved rapid temperature predictions during additive manufacturing
• Demonstrated improved accuracy in temperature field reconstruction
• Supported the premise that temperature control enhances component quality