Machine Synthetic Data Generator¶

1. Product Description¶

1.1. Solution Overview¶

AI-MDG (Artificial Intelligence-Machine Synthetic Data Generator) is a cloud-hosted simulation platform developed by IANUS Simulation GmbH. It enables engineers and decision-makers to perform high-fidelity simulations on digital representations of physical systems—so-called Digital Twins—without requiring local installation or specialized hardware on the client side.

The platform combines state-of-the-art computational methods with a user-friendly interface to support the entire simulation lifecycle, from model upload to result interpretation. AI-MDG is designed to handle complex, multi-parameter simulation scenarios, with particular focus on fluid dynamics, extrusion processes, and thermal behavior in industrial applications.

Delivered via a web browser, AI-MDG empowers users with scalable compute resources, including GPU acceleration and HPC backend compatibility, while ensuring accessibility, maintainability, and data security through centralized deployment.

1.2 Features¶

🔹 Web-Based Access¶

No installation required
Cross-platform compatibility (Windows, macOS, Linux)
Accessible through all major modern browsers

🔹 Digital Twin Management¶

Upload and manage 3D models (STEP format)
Interactive 3D viewer with rotation, pan, and predefined views
Version control and simulation history tracking

🔹 Simulation Engine¶

High-performance backend supporting complex CFD and thermodynamic simulations
Customizable input parameters: material, temperature, throughput, etc.
Simulation status tracking with live progress indicators

🔹 Automated Report Generation¶

Downloadable PDF reports for each completed simulation
Includes detailed process data, mesh statistics, inflow/outflow behavior
Graphical plots: pressure, velocity, viscosity, shear rate, residence time, and more

🔹 Interactive Visualization¶

Real-time 3D rendering of geometry and flow conditions
Advanced data visualizations including streamlines and cut planes

1.3. Prerequisites¶

• Hardware Requirements¶

To ensure optimal performance of the AI-MDO system, a compute environment equivalent to the JURECA Pre-Exascale Supercomputer is required. The recommended hardware configuration includes:

CPU: 2× AMD EPYC 7742 (2× 64 cores, 2.25 GHz)
Memory: 512 GB DDR4 RAM (16× 32 GB, 3200 MHz)
GPU: 4× NVIDIA A100 GPUs (each with 40 GB HBM2e)
Networking: 2× InfiniBand HDR interfaces (NVIDIA Mellanox ConnectX-6)

Note: Lower-tier hardware may result in significantly reduced performance or unsupported execution of AI-MDG workloads.

• Software Requirements¶

No additional software installation is required on the client side. The AI-MDO platform is accessed entirely via a modern web browser. We recommend using the latest version of one of the following:

Google Chrome
Mozilla Firefox
Microsoft Edge

Note: JavaScript and WebGL support must be enabled in the browser.

• External Dependencies¶

A valid user account issued by IANUS Simulation GmbH
An active and stable connection to the public internet

2. Installation¶

No installation is required to use the AI-MDO system. The application is fully web-hosted and is delivered as a Software-as-a-Service (SaaS) platform.

Users can access the system exclusively through a supported web browser. There are no client-side components, plugins, or local deployments necessary.

Note: Ensure that your browser is up to date and meets the requirements listed in the Software Requirements section.

3. Initial Configuration¶

3.1. First Steps¶

3.2. Main Workflows¶

• Simulations Tab¶

Each simulation is represented by a geometry tile, with a status indicator in the top-right corner:

✅ Check mark: Simulation completed successfully.
❌ Cross mark: Simulation was cancelled or failed.
⏳ Hourglass: Simulation is currently in progress. To start a new simulation:

Click “New Simulation” (top-right or sidebar)
Enter:
- Simulation Name
- Select Digital Twin
- Inflow Temperature [°C]
- Material
- Throughput [kg/h]
Click Next to review input
Click Start Simulation

A success or error message will appear after submission. Progress can be monitored in the Simulations tab. ¶

• Digital Twins Tab¶

Users can manage digital twins through a 3D geometry viewer.

Interaction:¶

Left-click + drag: Rotate
Right-click + drag: Pan
Home button: Reset view
Cube icon: Top, bottom, front, back, left, right views

To exit the viewer, click the “X” icon.

Create a New Digital Twin:¶

Click “New Digital Twin”
Upload a STEP file via drag-and-drop or file browser
Name the digital twin
Click Create

A confirmation message appears upon success. The twin is now available for simulation. ¶

• Viewing Results¶

Click on a ✅ simulation to access its results:

Simulation metadata
3D model preview
Input parameters

Under the Results tab, download the PDF report. Screen without authentication

Report Includes:¶

Process Data: Temperature, Throughput, Mesh Cell Count
Inflow: Material, Inlets, Melt Density, Pressure
Outflow: Velocity, Cell Count
Visuals:
- Pressure & Velocity Plots
- Mesh & Streamlines
- Viscosity and Shear Rate
- Residence Time & Distribution
- Material Flow Paths

4. General Queries¶

4.1. Installation and Configuration Contact (If Service Provided)¶

For assistance with setup, credentials, or login issues:

Contact: support@ianus-simulation.de

4.2. Technical Support¶

Company: IANUS Simulation GmbH
Website: https://ianus-simulation.de/en/
Logo: IANUS Logo

4.3 Licensing and Commercial Terms¶

AI-MDO is available under the following models:

AGPLv3 (open source)
Private/Commercial License

Subject	Value
Payment Model	Available on quotation
Price	Available on quotation

Contact IANUS for licensing and pricing details.

5. Appendices¶

5.1. Glossary of Terms¶

Term	Definition
AI-MDO	Simulation platform for Digital Twin-based design optimization
Digital Twin	Virtual representation of a physical component or system
Simulation	Numerical model used to predict real-world behavior
STEP File	3D geometry exchange file format
3D Viewer	Interactive tool to inspect geometries
Mesh	Computational grid for simulation