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Average Ratings 0 Ratings

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ease
features
design
support

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Write a Review

Description

Bulk Flow Analyst serves as a Discrete Element Method (DEM) simulation tool tailored for engineers seeking to assess and enhance the flow of bulk materials in transfer chutes and conveyor systems. Created by engineers who possess in-depth knowledge of transfer chute design, this software aims to simplify DEM simulations, allowing users to concentrate on the performance of the chutes rather than getting bogged down by intricate DEM settings. The tool is capable of simulating various transfer challenges involving bulk materials traversing through chutes, hoppers, feeders, conveyor transfer points, and other related material-handling devices. It enables designers to visualize and assess how particles flow, collide, accumulate, discharge, and interact with their surroundings under varying operational conditions. By utilizing DEM, the software assists in addressing complex conveyor design issues, such as flow dynamics, chute blockages, wear on belts and chute surfaces, dust generation, material spillage, degradation, and impact behavior, thus providing a comprehensive solution for engineers in the field. Additionally, it helps to ensure that material handling systems operate efficiently, minimizing possible disruptions and enhancing overall productivity.

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

Screenshots View All

Screenshots View All

Integrations

Amazon Web Services (AWS)

Integrations

Amazon Web Services (AWS)

Pricing Details

$1,000 one-time payment
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

Overland Conveyor Company

Founded

1996

Country

United States

Website

www.overlandconveyor.com/bulk-flow-analyst

Vendor Details

Company Name

Emmi AI

Country

Austria

Website

www.emmi.ai/models/neuralmould

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

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Alternatives

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