| Abstract Scope |
Many software tools advertise the ability to predict and correct component distortion in PBF-LB. However, without extensive and costly trials, end-users lack visibility into the functionality, accuracy, and value of available options. Here we present insights from the ASTRO-InSPIRE challenge on distortion prediction and compensation in PBF-LB wherein commercial solutions were assessed using real-world components with well-defined geometric requirements.
Each solution was used to predict component distortion and, where possible, generate distortion-compensated geometry. Distortion prediction and compensation performance was compared to actual parts created with a commercial PBF-LB machine (Colibrium Additive M2 Series 5). Here, we present our evaluations of the solutions, including the accuracy, computational efficiency, usability, and value. |