Modelling of Induction Pre-Heating in Additive Manufacturing for accurate prediction and control of deformations (MANTIS))

Purpose and goal

The project increases the ability and accuracy in the design and optimization of DED-LB/w where a greater variety of components potentially can be manufactured in the long term. Through methods for modeling and AI; a new in-situ, inductive preheating method combined with AM is explored. The goal is to significantly reduce deformations that occur during the manufacturing. Validating in-situ and post AM experiments are included with advanced measurements for temperature, strain and deformation.

Expected effects and result

Simulation methods and strategy for experimental validation are developed, which will result in increased predictive ability and ways to reduce shape deviations that occur during AM in titanium. This is done through process control during inductive preheating stage of the manufacturing process. The potential is demonstrated through the experimental setup for combined AM and inductive preheating that is being developed, contributing to increased collaboration, competence and to GKN´s competitiveness in the area.

Planned approach and implementation

The project strategy is based on initiating specific industrial development needs with support of research. Component geometries, specific requirements and prerequisites are identified. FE analyses at different levels of complexity are applied, creating conditions for industrial implementation. Evaluation of AI tools and experimental activities are included to generate validating data, demonstrate potential and explore challenges and risks. International research collaboration is initiated.