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What is NeuralMould?

NeuralMould, created by Emmi AI, represents a cutting-edge Large Engineering Model tailored for injection molding, establishing a new standard in AI-enhanced engineering solutions by integrating any geometry, material, and injection gate configuration all within a unified framework. This system allows users to select from an array of geometries while experimenting with various injection parameters, materials, and gate placements, thereby facilitating swift simulations of filling dynamics, quick scenario evaluations, optimization of crucial performance metrics, and avoidance of frozen flow fronts. The intricate nature of injection molding simulations is attributed to the requirement for multi-physics computations that precisely replicate the transient flow of viscous plastics through complexly designed thin-walled forms under conditions of high pressure and temperature. NeuralMould adeptly captures these vital phenomena across a range of injection scenarios and mold configurations, delivering outcomes that compete with conventional solvers, yet do so in markedly shorter computation times. Furthermore, this model accommodates multi-material applications, enabling rapid prototyping, supporting multi-gate arrangements, and managing diverse processing parameters, all thanks to its scalable transformer-based architecture. This revolutionary methodology places NeuralMould as an essential resource for engineers aiming to improve both efficiency and accuracy within the injection molding domain, ultimately paving the way for more innovative manufacturing solutions. With its advanced features, NeuralMould is set to transform the landscape of injection molding technology.

What is Fire Dynamics Simulator (FDS)?

The Fire Dynamics Simulator (FDS) is an open-source tool designed for simulating and visualizing fire-influenced flow dynamics. This computational fluid dynamics software adeptly resolves a modified version of the Navier–Stokes equations specifically aimed at low-velocity, thermally-driven airflow, with an emphasis on the movement of smoke and heat generated by fires. By utilizing large-eddy simulation techniques, it effectively captures the complexities of fire-plume behavior and is applicable to a variety of situations, including those involving wind effects, sprinkler systems, ventilation strategies, and different materials that influence fire characteristics. Users can define their scenarios through text-based input files, perform simulations with FDS, and analyze the resulting data afterward. The software provides visual outputs from both FDS and CFAST simulations using sophisticated OpenGL-powered 3D graphics, which include scientific visualization methods like animated smoke patterns, tracer particle animations, and two- and three-dimensional shaded surfaces, along with iso-surfaces, temperature gradients, and flow vector displays indicating both movement direction and strength. Moreover, FDS undergoes regular updates to improve its usability and features, ensuring it remains an essential resource for both researchers and fire safety experts. As a result, its continuous development further solidifies its significance in enhancing fire safety and understanding fire dynamics.

Media

Media

Integrations Supported

FireFlow Studio for FDS
OpenGL

Integrations Supported

FireFlow Studio for FDS
OpenGL

API Availability

Has API

API Availability

Has API

Pricing Information

Free
Free Version
Free Trial Offered?

Pricing Information

Free
Free Version
Free Trial Offered?

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Emmi AI

Company Location

Austria

Company Website

www.emmi.ai/models/neuralmould

Company Facts

Organization Name

NIST

Date Founded

1901

Company Location

United States

Company Website

pages.nist.gov/fds-smv/

Categories and Features

Engineering

2D Drawing
3D Modeling
Chemical Engineering
Civil Engineering
Collaboration
Design Analysis
Design Export
Document Management
Electrical Engineering
Mechanical Engineering
Mechatronics
Presentation Tools
Structural Engineering

Categories and Features

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