| Abstract Scope |
Metal additive manufacturing has many potential advantages over conventional techniques, including the ability to produced complex geometries, fast and personalised part production, lower cost and less material waste. While these advantages make AM an attractive option for industry, determining process parameters which result in specific properties, such as the level of porosity and tensile strength, can be a long and costly endeavour. In this review, the state-of-the-art in the control of part properties in AM is examined, including the effect of microstructure on part properties. The simulation of microstructure formation via numerical simulation and machine learning is examined which can provide process quality control and has the potential to aid in rapid process optimisation via closed loop control. In-situ monitoring of the AM process is discussed as a route to enable first time right production in the AM process, along with the hybrid approach of AM fabrication with post-processing. |