Metal additive manufacturing, which uses a layer-by-layer approach to fabricate parts, has many potential advantages over conventional techniques, including the ability to produced complex geometries, fast new design part production, personalised production, have lower cost and produce 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 also 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 steps such as shock peening, heat treatment and rolling. At the end of the paper, an outlook is presented with a view towards potential avenues for further research required in the field of metal AM.
Metadata
Item Type:
Article (Published)
Refereed:
Yes
Additional Information:
Article number: 30
Uncontrolled Keywords:
Additive Manufacturing; Powder Bed Fusion; Selective laser melting; Industry 4.0; Smart manufacturing; Numerical modelling; Monitoring; Quality control; Process control
Science Foundation Ireland (SFI) under Grant Numbers 16/1571 RC/3872 and 19/US-C2C/3579 and is co-funded under the European Regional Development Fund., Open Access funding provided by the IReL Consortium
ID Code:
27065
Deposited On:
26 Apr 2022 11:29 by
Annalina Caputo
. Last Modified 23 Mar 2023 16:07