Page 9 - 3DMP Summer 2022

nesses, splatter particle percentage, grain size and defect detection.
• Colorado School of Mines (Golden, CO)—$956,888
This project will examine new optical metrologies to enable real-time process feedback and control to achieve process-based qualification and certifica- tion of metallic parts made by AM.
• Auburn University (Auburn, AL)— $949,075
The goal of this project is to establish a data-driven framework with computer vision and machine learning for the non- destructive qualification of AM materials and parts for applications that cannot afford failures due to fatigue.
• General Electric, GE Research (Niskayuna, NY)—$873,999
GE Research teamed with GE Addi- tive and the University of Texas at El Paso to establish the Intelligent Stitch Integration for Testing and Evaluation program to extend existing standardized methods and build correlations between
sensor response, material behavior and mechanical properties.
Materialise Embeds Native CAD Workflows into Magics via Siemens’ Parasolid
Materialise has licensed Siemens’ Parasolid software for integration with Magics, Materialise’s software for data and build preparation. With Parasolid technology, Materialise adds native CAD workflows within Magics 26, pro- viding an additional toolset on top of mesh functionality. This combination allows users to continue iterating CAD designs in Magics to prepare for AM processes, improving productivity and providing cleaner, more accurate and fit-for-purpose data, according to com- pany officials.
Magics 26 reportedly enables users to seamlessly transition from design opti- mization in CAD to mesh-based file
preparation. This allows users to simply review and edit parts with designers and engineers who are familiar with CAD sys- tems before transitioning to mesh for platform and build preparation.
Developed by Siemens Digital Indus- tries Software, Parasolid, a 3D geometric modeling kernel, provides the core of the Siemens’ Xcelerator portfolio’s open ecosystem. Its Convergent Modeling technology enables mesh data to be mixed with traditional CAD geometry in a unified environment, reportedly remov- ing the need for time-consuming and error-prone data translation.
Materialise: www.materialise.com Siemens: www.sw.siemens.com
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