Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Moldex3D stands out as the premier CAE solution for the plastic injection molding sector globally. Its advanced analysis capabilities enable comprehensive simulations across a diverse array of injection molding techniques, facilitating the optimization of product designs and manufacturability. Furthermore, Moldex3D boasts exceptional compatibility with leading CAD systems, creating a versatile design platform driven by simulation. Tailored for automotive manufacturers and design engineers, it allows for the simulation and validation of intricate auto parts and molds utilizing authentic 3D technology. By employing Moldex3D, automotive designers and manufacturers can effectively oversee the entire product life cycle, from initial concept through to design and production. This proactive approach assists component designers and suppliers in identifying and resolving potential issues at an early stage, enhancing overall efficiency. Additionally, the capability to visualize the complete injection molding process for auto parts empowers users to devise solutions more swiftly and effectively, ultimately streamlining their operations.
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.
API Access
Has API
API Access
Has API
Integrations
Abaqus
Ansys Cloud Direct
Creo
PTC FlexPLM
SOLIDWORKS
Pricing Details
No price information available.
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
Moldex3D
Country
Taiwan
Website
www.moldex3d.com
Vendor Details
Company Name
Emmi AI
Country
Austria
Website
www.emmi.ai/models/neuralmould
Product Features
Computer-Aided Engineering (CAE)
CAD/CAM Compatibility
Finite Element Analysis
Fluid Dynamics
Import / Export Files
Integrated 3D Modeling
Manufacturing Process Simulation
Mechanical Event Simulation
Multibody Dynamics
Thermal Analysis
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
Alternatives
Alternatives
No Alternatives