37ce2b4b8176fef2a4f3cb9c47f76b93.jpg

Print Parts collaborates with PostProcess on NYC COVID contract Marketing and Content

Manhattan-based Additive Manufacturing service, Print Parts Inc., collaborated with PostProcess Technologies to rapidly scale efforts used in the production of 3D printed nasopharyngeal (NP) swabs for New York City’s COVID-19 Test Kits. At the peak of the pandemic, Print Parts began working with NYC to scale up production of NP swabs for the emergency supply of COVID test kits.

c94a8fe2a8cb164e49be2964910a97e6.jpg

Brazilian medical company Sartori invests in metal PBF equipment from SLM Solutions Medical

Sartori, a Brazil-based manufacturer of orthopedic implants and instruments, invested in selective laser melting technology from SLM Solutions. With the acquisition of a new SLM®280 the company is taking an important step in successfully implementing additive manufacturing in the healthcare sector in Brazil and addresses the expected growth in demand of high-quality and economical medical devices in the market.

c3ea62469d56ba7d971f3a375d1d4ad2.jpg

Sintavia and Siemens drive AM automation with end-to-end software AM Industry

Sintavia, a metal AM provider specializing in aerospace and defense applications, is partnering with Siemens Digital Industries Software to develop an end-to-end additive manufacturing software solution. The software program, which will be informed by Sintavia’s testing and technical feedback, will be included in Siemens’ Xcelerator portfolio. As part of the collaboration, Sintavia will also become one of Siemens’ preferred AM partners and gain access to the software before its market release.

e3fd77ca3e63d8d4438cefb9fa373e7e.jpg

ETH Zurich demonstrates automated DfAM framework with custom nozzles Research & Education

There is no question about additive manufacturing’s ability to produce complex, highly integrated geometries: in fact, this capability is one of the technology’s main advantages. Despite this, one of the hurdles to the broad implementation of AM has been actually creating these complex designs in the first place. That is, many parts with complex 3D printed structures are realized thanks to the deep application-specific knowledge of engineers and entail a fairly time-consuming modeling process. In recent years, we’ve seen the emergence of topology optimization software, which generates structures based on the requirements input by the user. However, even this approach often requires some degree of manual interpretation.