Aluminium Industry

Aluminium Industry

Revolutionising Smelting and Casting Operations with XR

The aluminium industry operates in high-stakes environments where precision, safety, and equipment uptime are critical. As global demand for sustainable and high-purity aluminium grows, plant operators require advanced digital tools to manage complex smelting, casting, and maintenance processes while minimising industrial risks. 

  • Operational Precision: 3D guidance for complex furnace and casting procedures. 
  • Safety-First Training: Risk-free simulations for hazardous task mastery. 
  • Real-Time Monitoring: XR-integrated IoT data for equipment and thermal health. 
  • Remote Collaboration: Instant XR link between floor teams and specialised engineers. 
Aluminium Industry

Partners involved:

OVERVIEW & GOALS OF PILOT

Focus: Optimising industrial workflows and worker safety for heavy metal production through AI-integrated XR solutions. 

Process & Impact: This pilot focuses on digitising the “tribal knowledge” of the smelting floor. By converting massive industrial SOPs (Standard Operating Procedures) into interactive AI-driven knowledge graphs, the project provides workers with heads-up displays for hands-free operation. The goal is to reduce downtime in the casting line and ensure that critical safety protocols are followed with 100% compliance, ultimately lowering the carbon footprint through improved energy efficiency. 

Validation & Innovation: The pilot moves beyond the laboratory to the factory floor, testing XR hardware durability in high-heat and high-electromagnetic environments. It validates the MOTIVATE XR platform’s ability to handle large-scale industrial “Digital Twins,” ensuring the system can sync real-time sensor data with holographic instructions for heavy-duty industrial use. 

  • Enhanced Occupational Safety: Minimising physical exposure to hazardous zones through remote monitoring and XR-guided safety checks. 
  • Rapid Skill Acquisition: Reducing the “time-to-competence” for new operators through high-fidelity immersive training modules. 
  • Minimised Production Downtime: Faster identification of mechanical fatigue in kilns and conveyors through AR-enhanced inspections. 
  • Data-Driven Decision Making: Real-time visualisation of molten metal temperatures and chemical compositions directly in the operator’s field of view. 
  • Resource Efficiency: Reducing scrap rates and energy waste by ensuring precise adherence to casting parameters. 
  • Scalable Industrial Expertise: Digitising expert knowledge to ensure consistent operational quality across multiple global smelting sites. 

Training Context & Objectives: AAA transitioned from traditional training – which relied on static 2D drawings and printed manuals – to an immersive XR workflow at its industrial facilities to better support aluminum fabricators and engineers. By deploying the Narrative Editor, RTXR Player, and Streaming Editor, the pilot addressed common challenges like the misinterpretation of complex cross-sections and the lack of remote on-site support. These tools allow for the creation of 3D instructional content, real-time visualisation of assembly sequences via XR glasses, and remote supervision by senior engineers. This initiative not only improved assembly accuracy and safety but also established a long-term capacity for AAA to independently update and manage digital training materials within their upskilling programs. 

XR Training Implementation: The implementation of the XR training was a joint effort between AAA and D3, following a structured three-stage evaluation that moved from instructor training to hands-on assembly. Using the Narrative Editor, AAA engineers digitised the M450 assembly process by importing 3D models, creating animations, and adding safety checkpoints, which allowed them to refine the instructional flow based on real manufacturing practices. This preparation phase ensured that the digital content was accurate and intuitive before being deployed to the trainees. 

During the practical experience, trainees used XR glasses equipped with the RTXR Player to follow 3D animations and multimedia guides, which significantly reduced the ambiguity typically found in 2D manuals. Simultaneously, instructors used the Streaming Editor to monitor real-time video feeds from the trainees’ headsets, providing immediate corrective guidance and documenting the process. The pilot concluded that the MOTIVATE XR toolchain effectively improves assembly accuracy and user confidence, confirming its potential for wide-scale industrial adoption and remote supervision. 

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VIDEO SECTION

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