Digital Engineering 24/7

Helping design and engineering professionals discover, evaluate and specify technologies and processes that shorten the design cycle and enable success.

Siemens, CADENAS Extend Partnership on STEM Education

Students will have free access to PARTcommunity technology.

By DE Editors  

December 6, 2013

Siemens' product lifecycle management (PLM) software business unit and CADENAS have extended their partnership to provide students in science, technology, engineering and math (STEM) related fields, with free access to CADENAS' PARTcommunity technology.

Siemens PLM Software's academic partners will be able to find and download standard parts from more than 400 manufacturers using the solution.

"Our academic program is focused on developing a highly trained and heavily recruited PLM workforce," said Bill Boswell, senior director of partner strategy, Siemens PLM Software. "Student engineers and computer scientists who work with real-world data like this can be stronger graduates. In addition, they can save time and increase their productivity using standard parts, just like our customers do every day."

Engineering excellence can only be achieved with practical orientation," said Jurgen Heimbach, CEO of CADENAS. "Students are now able to use the same resources as the industry pros."

For more information, visit Siemens PLM Software and CADENAS.

Sources: Press materials received from the company and additional information gleaned from the company's website.

 
 

From our Sponsors

Meltio Takes Metal Additive to the Next Level
Meltio's DED technology enables industries to tailor and customize their solutions to create & repair metal parts.
Easing the Transition from ETO to CTO with Configuration Lifecycle Management
Manufacturers are discovering that the Configure-to-Order (CTO) model provides significant benefits when it comes to customization.
Siemens + Altair = The Next Chapter in Design and Simulation
With its acquisition of Altair, Siemens creates a unified simulation portfolio combining generative design with high-performance computing and AI workflows.