Siemens Digital Industries Software has announced Additive Manufacturing Path Optimiser, a beta technology integrated in NX software, to help customers solve overheating challenges and help reduce scrap and increase production yield to achieve the industrialisation of AM, or the use of AM at the industrial scale. Siemens has developed this simulation technology to help maximise the production yield and quality of powder bed-fusion manufactured parts.
Building on the Simcentre Additive Manufacturing Process Simulation solution announced in November 2018, AM Path Optimiser complements Siemens’ strategy for the digital twin of the manufacturing process and addresses errors originated from suboptimal scan strategies and process parameters. These can lead to systematic failures due to overheating, which can cause scrap and inconsistencies in component quality.
Siemens has had success demonstrating this beta technology with TRUMPF as a partner. “With the AM Path Optimiser, Siemens and TRUMPF can push industrialisation of additive technologies further forward,” said Jeroen Risse, at TRUMPF. “In our demonstrations we saw an improvement of geometrical accuracy, elimination of re-coater errors caused by overheating, as well as a more homogenous surface quality. Also, the scrap rate is expected to be reduced significantly.”
The technology uses an innovative approach combining physics-based simulation with machine learning to analyse a full job file in few minutes before execution on the machine. This technology is expected to help achieve ‘first time right’ prints and reduce trial and error. It can also help reduce printing costs and enable the printing of components that are nearly impossible to achieve today.