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What is Simcenter EDEM?

Simcenter EDEM is a sophisticated software application that employs the Discrete Element Method to effectively simulate the behavior of bulk materials and particles, allowing engineers to gain crucial insights into how granular substances interact with handling equipment in different operational and processing contexts. It adeptly models and assesses the dynamics of a variety of materials, including coal, minerals, soils, fibers, grains, tablets, powders, rocks, and crops. With an extensive collection of pre-calibrated material model libraries for various substances such as rocks, ores, soils, and powders, users can swiftly initiate their simulations, while the validated physics models support a range of material behaviors, including those that are dry, sticky, or compressible. Moreover, Simcenter EDEM is particularly proficient in simulating complex, large-scale particle systems comprising millions of individual particles, providing fast and scalable computing options across CPU, GPU, and multi-GPU setups. This adaptability positions it as an essential tool for engineers aiming to enhance the handling and processing of granular materials in a multitude of industries. The software not only streamlines workflows but also enables users to explore innovative solutions to common challenges in material handling.

What is PhysicsX?

The PhysicsX Platform is a cutting-edge engineering solution powered by artificial intelligence, designed to enhance design, manufacturing, and operational processes across critical industrial sectors worldwide, leading to remarkable improvements in performance, efficiency, and speed. This innovative platform integrates simulation, physics AI, data, and engineering applications into a unified software infrastructure that works harmoniously with the existing tools engineers commonly use. Tailored to support every stage of the product lifecycle—from the initial concept and design phase through to manufacturing and operational implementation—PhysicsX integrates AI deeply within the engineering workflow rather than considering it an extra feature. By enabling businesses to rapidly develop, implement, and scale a new generation of AI tools within complex engineering tasks, PhysicsX empowers teams to train and deploy physics AI directly into tangible design and manufacturing scenarios, thereby boosting both productivity and creativity. As a result, this platform signifies a revolutionary advancement toward the future landscape of engineering, paving the way for unprecedented innovations and efficiencies. The adoption of such transformative technologies is crucial for industries aiming to maintain competitiveness in an evolving market.

Media

Media

Integrations Supported

ANSYS SpaceClaim
Abaqus
Amazon Web Services (AWS)
CATIA
Microsoft Azure
Siemens NX
Simcenter STAR-CCM+

Integrations Supported

ANSYS SpaceClaim
Abaqus
Amazon Web Services (AWS)
CATIA
Microsoft Azure
Siemens NX
Simcenter STAR-CCM+

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Siemens

Date Founded

1847

Company Location

Germany

Company Website

www.siemens.com/en-us/products/simcenter/fluids-thermal-simulation/edem/

Company Facts

Organization Name

PhysicsX

Company Location

United Kingdom

Company Website

www.physicsx.ai/platform

Categories and Features

Artificial Intelligence

Chatbot
For Healthcare
For Sales
For eCommerce
Image Recognition
Machine Learning
Multi-Language
Natural Language Processing
Predictive Analytics
Process/Workflow Automation
Rules-Based Automation
Virtual Personal Assistant (VPA)

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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