Menu
Search

Online

 

Online
  • 26th January 2022
    9:00 am - 10:00 am

Free to Attend Webinar | Time: 09:00 AM GMT | Wednesday, January 26, 2022

In this webinar, we’ll illustrate the importance of obtaining correct material property information as an indispensable step in getting realistic simulation results. That’s why Moldex3D values a complete digital twin model with the structural feature of the instrument and the testing process. This will not only correct and improve the measurement data but also be a powerful tool for material development and measurement.

Echoing the trend of design-for-recycling and environmental friendliness, Moldex3D has put its efforts into making more accurate simulation for recycled materials. However, reused plastics possess rather different physical properties compared to the virgin materials mainly due to degradation and the number of recycling. In this webinar, we’ll introduce several solutions to this specific problem. Our expert will also showcase the Material Cloud Hub which is the most comprehensive material database for plastics processing industry. Users can easily navigate the web-based data bank which provides more than 7,000 material entries.

What You Will Learn:

  • What is material digital twin
  • What Moldex3D can do in simulating recycled plastics
  • Features of Material Hub Cloud

Registration / Further Information

Simply choose one of the following options to receive further information or to register.

Please note that this event is free to attend but registration is essential. Registration Deadline: One day before the webinar.
The join link will not be provided to the registration on the webinar day.

Location

Venue:  

Address:
Online

Description:
Details on how to join the webinar will be emailed to you once registered.

What You Will Learn:

  • What is material digital twin
  • What Moldex3D can do in simulating recycled plastics
  • Features of Material Hub Cloud

Registration / Further Information

Please refer to our Privacy Policy regarding how we may process any personal data you submit within this form.

© 2024 Wilde Analysis Ltd.

Web design and hosting by BFI®