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April 2026 Special Focus Issue: Generative Design
In this Special Focus Issue, Digital Engineering takes a look at how generative design solutions can be used across different types of design problems and with a variety of manufacturing approaches to accelerate design space exploration, and…
Electrum utilizes the 3DEXPERIENCE platform on the cloud to develop their new electric motorcycle
Electrum, a new brand of electric motorcycles, utilizes the 3DEXPERIENCE platform. Their mission is to support Indonesia’s shift to low-carbon, sustainable transport and to ultimately help the country’s government achieve its vision of net…
In Long Beach, California, aerospace and defense suppliers, contractors, and manufacturers gather for the AeroDef Manufacturing Conference (April 29-May 1), produced by the Society for Manufacturing Engineers (SME).
A growing area of interest for the attendees is the deployment of digital twins -- not just for objects, such as jet engines and helicopters, but also for entire factories, plants, and processes.
Exhibitors such as JR Automation and Siemens highlight the technologies available for digital twins in their booths.
Also at the show are Creaform, which develops 3D scanning devices; and 3D Systems, an additive manufacturing (AM) system developer.
Attendees and featured panelists discuss the concerns for cyberphysical security, among others.
This week, ANSYS buys DfR Solutions, known for Sherlock software.
Sherlock software can be used to simulate and verify temperature and power cycling, harmonic vibration, mechanical shock and bending, among others. It belongs to the electronics design automation (EDA) sector.
EDA's role is critical in the IoT era, where many devices have features driven by electronics components and software instead of mechanical features.
By combining its own software and Sherlock, ANSYS says it wants to offer a designer-level toolkit.
Simcenter™ software, from Siemens Digital Industries Software, uniquely combines system simulation, 3D CAE and test to help you predict performance across all critical attributes earlier and throughout the entire product lifecycle. By combining…
Making the Case for Artificial Intelligence and Machine Learning in Engineering
In this paper, Siemens Digital Industries Software and Digital Engineering will provide an overview of how AI/ML-enabled software can improve design workflows, while also addressing common questions and concerns around implementing this technology in an engineering organization.
Kenneth Wong is Digital Engineering's resident blogger and senior editor. Email him at [email protected] or share your thoughts or suggestions at digitaleng.news/facebook.
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