A UK-led consortium has launched the Digitally Efficient Propeller (DEEP) project, which aims to combine Additive Manufacturing (AM) with digital twin technology to create intelligent ship propellers capable of monitoring their own performance. Supported by funding from the UK's national innovation agency, Innovate UK, through the Clean Maritime Demonstration Competition (CMDC6), the project has received a grant to conduct a techno-economic feasibility study for the digital manufacturing of efficient propellers.
The DEEP project will explore the potential of various additive manufacturing methods within the complex and heavily regulated shipping industry. It will evaluate the performance of these methods compared to traditional techniques like casting and establish a structured process to secure class society approval and type certification. This ensures the project not only drives technological advancement but also provides a practical framework for industry application and regulatory compliance.
Digital Twins and Additive Manufacturing
The combination of additive manufacturing with digital twin technology and AI-driven modeling has gained significant attention in recent months. It is being explored as a potential means to enhance performance, support certification processes, and strengthen operational monitoring across various industries.
For instance, Meta's Reality Labs Research released a digital twin catalog containing over 2,400 high-fidelity, millimeter-accurate 3D models of everyday objects. These digital twins help accelerate research into 3D object reconstruction for applications like immersive reality and e-commerce.
In China, a startup named Second Life raised $10 million to expand its AI algorithms and digital twin capabilities, enabling more robust 3D scanning, personalization, and the printing of avatars, thereby blurring the lines between physical forms, digital twins, and manufacturing.
Most recently, the UK government supported the STRATA project, led by Honeywell and partners including simulation software companies, metal additive manufacturing specialists, and academic organizations. This project aims to co-develop AI-powered aerospace components, where simulation and modeling work closely with additive manufacturing to meet the stringent safety, performance, and certification requirements of regulated industries.