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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

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

SpecFlow simplifies the test automation process by fostering collaboration within the team, enabling each member to leverage their unique abilities more effectively. Instead of spending time hunting for the right definitions within your binding classes, you can simply right-click to navigate directly to the corresponding code. Additionally, you can utilize hooks, or event bindings, to implement extra automation logic at designated moments, such as performing necessary setup before a scenario runs. The framework also incorporates a dependency injection system that facilitates the creation and injection of context into scenarios. This capability allows for the organization of shared state within context classes, making it easy to inject them into every binding class that requires access to that common state. By streamlining these processes, SpecFlow enhances overall efficiency and collaboration in testing efforts.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

.NET
AWS CodeBuild
AppVeyor
Azure DevOps Server
Bitbucket
BrowserStack
Buddy
CloudBees
CodeShip
GitHub
GitLab
GoCD
Jenkins
NCrunch
Playwright
Sauce Labs
Semaphore
TestingBot
Visual Studio
Xamarin

Integrations

.NET
AWS CodeBuild
AppVeyor
Azure DevOps Server
Bitbucket
BrowserStack
Buddy
CloudBees
CodeShip
GitHub
GitLab
GoCD
Jenkins
NCrunch
Playwright
Sauce Labs
Semaphore
TestingBot
Visual Studio
Xamarin

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

SpecFlow

Country

Austria

Website

specflow.org

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

Alternatives

No Alternatives

Alternatives

Selenium Reviews

Selenium

Software Freedom Conservancy