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Description
NeuralMould, developed by Emmi AI, is an advanced Large Engineering Model specifically designed for injection molding, setting a new benchmark in AI-driven engineering solutions by accommodating any geometry, material, and injection gate configuration within a single framework. Users can easily choose from various geometries while testing different parameters related to injection, materials, and gate placement, allowing for quick simulations of filling behavior, rapid scenario comparisons, optimization of key performance indicators, and the prevention of frozen flow fronts. The complexity of injection molding simulations arises from the necessity to conduct multi-physics calculations, which accurately model the transient flow of viscous plastics through intricately designed thin-walled shapes under high-pressure and high-temperature conditions. NeuralMould effectively captures these critical phenomena across diverse injection scenarios and mold designs, achieving results that rival traditional solvers but with significantly reduced computation times. Additionally, the model is capable of handling multi-material applications, facilitating quick prototyping, accommodating multi-gate setups, and managing a variety of processing parameters thanks to its scalable transformer-based architecture. This innovative approach uniquely positions NeuralMould as a vital tool for engineers seeking to enhance efficiency and precision in the injection molding process.
Description
Yade is a versatile and open-source framework aimed at discrete numerical modeling, particularly utilizing the Discrete Element Method. The core computational components are developed in C++, leveraging a flexible object model that facilitates the standalone implementation of new algorithms and interfaces. Meanwhile, Python serves as the language for quick and efficient construction of scenes, control of simulations, postprocessing tasks, and debugging processes. This framework is particularly suited for researchers and engineers who require the ability to create, execute, analyze, adjust, and expand particle-based simulations through scripts, interactive commands, graphical interfaces, and reusable simulation elements. Users can construct simulations using specialized generators or directly through Python scripts, offering considerable freedom in developing custom models, importing geometries, reusing code, and managing the entire simulation loop. Each simulation is represented as a scene that encompasses bodies, interactions, and the forces resulting from them, with the bodies characterized by their geometry, material properties, and state variables. Additionally, Yade's architecture promotes collaboration and sharing of advancements within the research community, enabling continuous improvement of simulation techniques.
API Access
Has API
API Access
Has API
Integrations
C++
Python
Pricing Details
Free
Free Trial
Free Version
Pricing Details
Free
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Emmi AI
Country
Austria
Website
www.emmi.ai/models/neuralmould
Vendor Details
Company Name
Yade
Founded
2009
Country
Czech Republic
Website
yade-dem.org/doc/
Product 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