Webinar: Material Intelligence for Sustainable Automotive Design and Engineering

Webinar: Material Intelligence for Sustainable Automotive Design and Engineering
by Admin on 08-29-2023 at 12:58 pm

Implementing a strategy for sustainable automotive design starts early in the design phase.  It is estimated 80% of all product-related environmental impacts are decided at concept phase. Therefore, automotive suppliers and OEMs should utilize technology solutions to increase visibility, transparency and traceability

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Webinar: Five Challenges you Can Solve with Better Material Selection

Webinar: Five Challenges you Can Solve with Better Material Selection
by Admin on 02-06-2023 at 2:04 pm

Making better-informed material choices early in design is ideal for solving various engineering challenges. This upcoming webinar looks at the tradeoff between different material properties and the technical, economic, and environmental data inside Ansys Granta.

TIME:
FEBRUARY 9, 2023
11 AM EST / 4 PM GMT / 9:30 PM IST

Venue:

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Ansys 2022 R2: Beginners Guide to Ansys Material Calibration

Ansys 2022 R2: Beginners Guide to Ansys Material Calibration
by Admin on 08-22-2022 at 2:07 pm

Our 2022 R2 release introduces a new easy-to-use application for Ansys Mechanical users to turn experimental material data into simulation-ready material models. Simulate product performance with new materials faster and with more accuracy.

TIME:
SEPTEMBER 8, 2022
11 AM EDT / 4 PM BST / 8:30 PM IST

About this Webinar

Build simulation-ready

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Advancing the Dry Etching Process – through Supply Chain Robustness and Material Innovation

Advancing the Dry Etching Process – through Supply Chain Robustness and Material Innovation
by Admin on 08-12-2022 at 3:47 pm

Date & time: August 31, 2022 | 16:00-17:00 CET

Speakers: Sung-Ho Kim, Director, Head of Global Marketing, Clean & Etch, Specialty Gas, *EMD Electronics
James Nehlsen, Head of R&D, Specialty Gases, *EMD Electronics

*The Electronics business of Merck KGaA, Darmstadt, Germany

Through Supply Chain Robustness and

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