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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
Effective design and operation of production systems necessitates a comprehensive grasp of the behavior of multiphase flow. Utilizing flow modeling and simulation offers critical insights into the dynamics of flow, encompassing the physical principles that govern movement throughout the entire production system, starting from the reservoir's pore spaces and extending to processing facilities. The Olga dynamic multiphase flow simulator is adept at modeling transient flow behaviors, which are crucial for optimizing production capabilities. Such transient modeling is vital for conducting feasibility assessments and designing field developments. In deepwater contexts, dynamic simulation plays a pivotal role and is frequently employed in both offshore and onshore projects to analyze transient behaviors in pipelines and wellbores. By employing the Olga simulator for transient simulation, engineers can gain deeper insights beyond steady-state analyses, enabling them to forecast system dynamics, including fluctuations in flow rates, variations in fluid compositions, changes in temperature, the buildup of solids, and alterations in operational parameters. Consequently, mastering these transient characteristics is essential for improving efficiency and reliability in production operations.
API Access
Has API
API Access
Has API
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Integrations
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Integrations
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Pricing Details
Free
Free Trial
Free Version
Pricing Details
No price information available.
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
SLB
Founded
1926
Country
United States
Website
slb.com
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
Product Features
Oil and Gas
Compliance Management
Equipment Management
Inventory Management
Job Costing
Logistics Management
Maintenance Management
Material Management
Project Management
Resource Management
Scheduling
Work Order Management