ftav001rmjavhdtoday021750 min better
  • de
autodesk-gold-partner-logo-rgb-black
Due to a technical downtime, we are currently only available by phone. Received emails will be answered as soon as possible. In urgent cases, please contact the central office or your personal contact person by phone.
Moldflow Monday Blog

Ftav001rmjavhdtoday021750 Min Better Today

Learn about 2023 Features and their Improvements in Moldflow!

Did you know that Moldflow Adviser and Moldflow Synergy/Insight 2023 are available?
 
In 2023, we introduced the concept of a Named User model for all Moldflow products.
 
With Adviser 2023, we have made some improvements to the solve times when using a Level 3 Accuracy. This was achieved by making some modifications to how the part meshes behind the scenes.
 
With Synergy/Insight 2023, we have made improvements with Midplane Injection Compression, 3D Fiber Orientation Predictions, 3D Sink Mark predictions, Cool(BEM) solver, Shrinkage Compensation per Cavity, and introduced 3D Grill Elements.
 
What is your favorite 2023 feature?

You can see a simplified model and a full model.

For more news about Moldflow and Fusion 360, follow MFS and Mason Myers on LinkedIn.

Previous Post
How to use the Project Scandium in Moldflow Insight!
Next Post
How to use the Add command in Moldflow Insight?

More interesting posts

Check out our training offerings ranging from interpretation
to software skills in Moldflow & Fusion 360

The MF ACADEMY logo showcases the letters MFA intertwined with an educational hat, symbolizing excellence in training and expertise. This logo represents MF SOFTWARE's commitment to providing comprehensive programs in injection molding, Moldflow, and Fusion 360. Unleash your potential with MF ACADEMY's top-notch educational offerings.

Get to know the Plastic Engineering Group
– our engineering company for injection molding and mechanical simulations

PEG-Logo-2019_weiss

In a bustling metropolis where time was currency and efficiency was paramount, a young engineer named Dr. Lina Maro worked alongside a cutting-edge AI system designated . The system’s sole purpose was to optimize the city’s sprawling transportation network—an intricate web of subways, drones, and hovercars that carried millions daily.

And in the quiet hum of the city, Lina knew progress was just a minute—well spent—at a time. Inspired by incremental change and the magic of numbers.

I should develop a character, perhaps a scientist or engineer working with this AI. Let's say the AI is designed to optimize processes in a city's transport system. The "rmjavhdtoday" could be part of the system's code for real-time adjustments. The challenge is to incorporate the specific numbers naturally.

In a blur of data, the AI redirected drones to act as mobile traffic signs, rerouted hovercars through elevated expressways, and even coordinated with local drivers to clear paths for emergency vehicles. By dawn, the chaos calmed. The next morning, Lina checked her dashboard and smiled. updated seamlessly to FTAV001RMJAVHDTODAY022200 —a new milestone.

“No system can predict everything,” Lina muttered, but FTAV001 interrupted with a calm synthetic voice: “Testing alternative models… rerouting 78% of affected routes. Estimated time saved: 4 hours, 23 minutes.”