Hindustan Aeronautics Limited (HAL) has initiated an innovation drive through its DRISHTI challenge framework, calling for the development of a high-fidelity digital twin software model for a gas turbine starter engine. The initiative underscores HAL’s growing focus on leveraging data-driven technologies to improve performance monitoring, predictive maintenance, and lifecycle management in aerospace systems.
The envisioned digital twin will simulate the real-world performance of a gas turbine starter engine using advanced modeling techniques, enabling virtual testing, diagnostics, and optimization. By utilizing a data-centric approach tailored to user needs, the system aims to deliver accurate performance insights across different operating conditions, reducing the need for expensive physical trials and enhancing decision-making processes.
A key aspect of the challenge is the creation of a modular software architecture that combines analytics, prognostics, and visualization layers. This design will enable efficient data integration, predictive fault detection, and intuitive visual outputs, ensuring both technical precision and ease of use.
The program places significant importance on validation and verification processes to guarantee the digital twin’s accuracy and reliability. In aerospace applications, maintaining high model fidelity is essential, as even small deviations between simulated and actual performance can lead to critical risks.
HAL has specified comprehensive deliverables, including full source code, detailed documentation, and training modules, indicating a broader goal of embedding the solution within operational and maintenance ecosystems for sustained use.
The development will follow a phased lifecycle approach, incorporating risk management strategies and clearly defined customer acceptance checkpoints. This structured methodology is intended to ensure progressive validation, on-time delivery, and alignment with HAL’s operational requirements throughout the project.
