Siemens announced a new Additive Manufacturing (AM) Process Simulation solution for predicting distortion during 3D printing. Building on Siemens’ comprehensive digital innovation platform and the Simcenter™ portfolio, the AM Process Simulation solution uses a digital twin to simulate the build process prior to printing, anticipating distortion within the printing process and automatically generating the corrected geometry to compensate for these distortions. This simulation is paramount for constructing a ‘first time right’ print, and necessary for achieving the efficiencies required of a fully industrialized additive manufacturing process.
When metal parts are 3D printed, the method used to fuse the layers of the print typically involves heat. As the layers build up, the residual heat can cause parts to warp inside the printer, causing various problems, from structural issues within the part itself to print stoppage. Issues such as these cause many prints to fail, and make getting a “first-time-right” print very difficult. Simulation of the printing process can help to alleviate many of these problems.
Siemens’ new process simulation product is integrated into the Powder Bed Fusion Process chain in the Siemens PLM Software Additive Manufacturing portfolio and is used to predict distortion for metal printing. The product provides a guided workflow to the user that allows for the assessment of distortions, the prediction of recoater collisions, prediction of areas of overheating, and other important feedback about the print process. The AM Process Simulation solution offers the ability to iterate on a solution between the design and build tray setup steps of the workflow, and the simulation step. This closed feedback loop is possible due to the tightly integrated nature of the Siemens digital innovation platform. The simulation data created feeds into the digital thread of information which informs each step of the printing process. This digital backbone enables the system to develop pre-compensated models and, more importantly, to feed those seamlessly back into the model design and manufacturing processes without additional data translation. This high level of integration is what customers need today in order to be successful in industrializing additive manufacturing.
“This solution is the latest addition to our integrated additive manufacturing platform, which is helping customers industrialize additive manufacturing by designing and printing useful parts at scale,” said Jan Leuridan, senior vice president for Simulation and Test Solutions at Siemens PLM Software. “By using a combination of empirical and computational methods we can increase the accuracy of the simulation process, feeding the digital twin and helping customers better predict their real-world print results. We have proven this over months of real-world testing with some selected first adopter companies. Providing corrected geometry and closed loop feedback can ultimately allow our customers to get better results from their additive manufacturing processes, helping to achieve that first-time-right print and realize innovation with this technology.”