About this Abstract |
Meeting |
2022 TMS Annual Meeting & Exhibition
|
Symposium
|
Computational Thermodynamics and Kinetics
|
Presentation Title |
Modelling Informed Strategy for the Additive Manufacturing of High-strength Al-alloys |
Author(s) |
Giuseppe Del Guercio, William Reynolds, Adam Clare, Marco Simonelli |
On-Site Speaker (Planned) |
Giuseppe Del Guercio |
Abstract Scope |
Material properties of components manufactured by laser powder bed fusion are heavily influenced by the thermal gradients and solidification rates experienced during processing. These factors cause high strength aluminium alloys to suffer from detrimental cracking phenomena. Controlling the thermal gradients and solidification rates are key in eliminating cracking and increasing their mechanical performance. Here we show how the calculation of processing parameters deliberately conceived to lower thermal gradients, eliminates cracking from a popular high strength aluminium alloy, AA2024. This work shows how the computation from an inverse solution method can lead directly to parameters that are able to achieve crack free 99.6% dense AA2024. In addition, we show how cracking can be predicted in high strength aluminium alloys and the mechanical performance improvements for crack-free AA2024. These results show how the pairing of computational modelling and materials science can result in the crack-free AA2024 components without chemistry modification. |
Proceedings Inclusion? |
Planned: |
Keywords |
Additive Manufacturing, Aluminum, Computational Materials Science & Engineering |