Project

This project looks at different operational variables of a marine engine from large cargo ships, with the aim of detecting and trending damage onset on different engine sub-components. This information can be used by owners to expedite O&M interventions and maximize ship availability.

In ShipWeldFlow, we develop novel digital analysis and optimization tools to support the workflow of robotic welding in shipbuilding operations. We use Digital Twins to address the needs of two companies, Odense Maritime Technology and Inrotech, by joint development of the required digital tools to innovate the central workflow in modern steel ship production.

Industrial PhD project at Roskilde University together with with SeaLytix on the development of stowage algorithms and AI for energy efficient liner shipping.