Soldamatic AR Welding Simulator
Short Summary
The Soldamatic AR Welding Simulator is an augmented-reality training system designed to support experimentation, validation, and deployment of digital welding training processes in a safe and controlled environment. It replicates real welding equipment, including the torch, helmet, and workpiece, within a simulated environment, enabling realistic training without the need for physical consumables. The system provides real-time feedback and supports the development of welding skills and muscle memory through interactive training scenarios. It enables efficient and cost-effective training while reducing material usage and operational risks. The TestBed offers an accessible environment for training, performance assessment, and Proof-of-Concept activities in digital welding and immersive learning technologies. It supports DeepTech applications in augmented reality and digital manufacturing, and aligns with Industry 5.0 principles by enabling safe, human-centred skill development.
Domain
DeepTech Area(s)
Extended Reality
Application Domain
Manufacturing
Hosting Institution and Principal Investigator Information
- Name of host organization
- ABICOR BINZEL Varilna tehnika d.o.o.
- Name of building
- Pomurje Technology Park
- Physical Address
- Plese 9 A, 9000 Murska Sobota
- Website Links
- https://binzel-abicor.com/SI/slv/
- Institutional contact name
- Goran Rajnar
- Institutional contact email
- info@binzel-abicor.si
- Principal Investigator name
- Goran Rajnar
- Position / Institutional role
- Director
-
For access through CITADELS project please contact Pomurje Technology Park at info@p-tech.si or marko@p-tech.si
- Funding source(s) for TestBed's acquisition
- ABICOR BINZEL Varilna Tehnika d.o.o.
Technical Description
Hardware
- AR welding helmet: Headset and HD display integrated into a real welding helmet, enabling augmented-reality visualisation during training.
- Physical welding torch: Equipped with haptic sensors and multi-axis tracking for realistic interaction and motion capture.
- Workpiece models: Physical components with marker recognition enabling precise positioning and tracking within the AR environment.
- Computer unit: High-performance system with GPU supporting real-time rendering and simulation of welding processes.
Software
- Soldamatic simulation software: Provides real-time augmented-reality visualisation and simulation of welding processes, including MIG/MAG, TIG/GTAW, FCAW, and SMAW.
- Learning management system (LMS): Supports course management, performance tracking, and analytics for training activities.
Standards that apply
- The system is designed in accordance with applicable safety standards, including ISO 12100, as well as relevant CE machinery requirements. In addition, the TestBed follows ISO 9606 as a reference for welding process qualification in training scenarios and aligns with applicable UNE standards supporting welding training and certification frameworks. These standards ensure safe operation and consistency with recognised industrial training practices.
Application Cases
- Welding skill training and certification - Use of the system for training, assessment, and certification of welders through realistic simulated
welding tasks. - Proof-of-Concept for AR-based manufacturing training - Validation of augmented-reality technologies in industrial training environments and digital manufacturing education.
- Ergonomic research and simulation - Use of the TestBed for studying operator behaviour, ergonomics, and process efficiency in simulated welding environments.
- Remote AR-based learning - Application of the system in remote and distributed training programmes for geographically dispersed training centres.
- Educational and industrial deployment - Use of the TestBed in vocational schools, industry academies, and R&D environments. The system is deployed in over 80 countries, supporting global training initiatives.
Potential Stakeholders
Non-academic stakeholders
Industrial partners
SMEs
Startups
Professional associations
Academic stakeholders
Undergraduate students
MSc students
PhD students
Researchers
Exploitation Scenarios
- Internal academic research
- No
- Collaborative research with external academic partners
- Yes
- Contract research / Proof-of-Concept for industry
- Yes
- Pilot / DeepTech Deployment in operational environment
- Yes
- Training services (courses, workshops, certification)
- Yes
- Service provision (testing, benchmarking, validation)
- Yes
- Open access for walk-in users (e.g. open days / hackathons)
- No
