Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Conduct a swift and straightforward stability assessment of both surface and underground crown pillars, as well as laminated roof beds, through the utilization of three distinct limit equilibrium analysis techniques: rigid plate, elastic plate, and Voussoir (no tension) plate analysis. Additionally, carry out a probabilistic evaluation to ascertain the likelihood of failure by incorporating statistical distributions to account for variability in factors such as geometry, location of force application, joint and bedding strength, water pressure, external loads, and more. By executing a sensitivity analysis with a variety of values, you can assess how modifications to model parameters impact the factor of safety. The methodology, initially tailored for steeply dipping ore body configurations, allows for the estimation of crown geometry and the classification of stope geometry as either steep or shallow, thus enabling the application of the most relevant empirical relationships to your analysis. This comprehensive approach ensures a robust evaluation of stability across diverse geological conditions.
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
No details available.
Integrations
No details available.
Pricing Details
$495 per year
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
Rocscience
Founded
1996
Country
Canada
Website
www.rocscience.com/software/cpillar
Vendor Details
Company Name
Emmi AI
Country
Austria
Website
www.emmi.ai/models/neuralmould
Product Features
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