Siemens and Interspectral to accelerate industrialization for AM with a 3D visualization tool
3D-visualization (AR and VR) is a key factor that will foster the industrialization of additive manufacturing and other tools. Siemens and Interspectral give an insight into how they will collaborate to accelerate industrialization.
As seen in the February issue of 3D ADEPT Mag, Siemens gas turbine business in Finspång is part of the subsidiaries of Siemens that demonstrates the potential of the company in applying additive manufacturing. The company has demonstrated its capabilities to integrate AM solutions by overcoming the challenges brought at the software level. Those challenges did not only enable production in series, but open a new possibility to embrace the industry 4.0.
Interspectral on the other hand, specializes in software and custom solutions for professional 3D visualization. The Sweden-based company supplies a software technology with volumetric rendering and 3D-visualization of real captured data.
In the constant search for revolutionizing the way Siemens produce industrial turbines, the two teams decided to work on the complexities brought by metal AM. “To improve and ultimately industrialize the process you need to capture, explore and understand large amounts of heterogenous data from the manufacturing process and increase domain knowledge. There is a need for a tool that generates true insights and new knowledge from the data”, Andreas Graichen, Head of Additive Manufacturing Center of Competence at Siemens.
Interspectral thus develops a new 3D visualization tool. Called AM Explorer, the product is based on the company’s core visualization technology and aims to support interactive exploration and collaboration.
CAD files, data from sensors and cameras, simulations, and metrology systems such as laser scanners and CT scanners, can be fused and visualized using the same tool. Engineers can filter, navigate, explore and analyze the data in an intuitive way. They can detect anomalies and trace why and where in the manufacturing process the anomaly appeared.
The overall goal is to enable engineers to gain insights into the additive manufacturing process and to be able to easily bring out the challenges.
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