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ArchItecture foR The dIGital researcH facTory - AIRTIGHT

Reference number
Coordinator GKN Aerospace Sweden AB
Funding from Vinnova SEK 1 000 000
Project duration September 2023 - October 2024
Status Ongoing
Venture Strengthened Swedish aeronautical research and development

Purpose and goal

The goal is to develop a concept for an architecture that can integrate Digital Twins of products & processes in the jet engine industry. AIRTIGHT will carefully examine challenges, needs, opportunities, and investigate suitable technologies. The work will start with a study of the state of the art, an analysis of the current state. The concept development & implementation of proof of concept evaluations in a test environment at the GTC in Trollhättan will follow. The results will be included in a future roadmap for digitalization, Digital Twin and AI development & implementations.

Expected effects and result

The long term goal & expected impact is that such an architecture will facilitate integration in a systematic way that enables e.g. simulation and virtual validation, AI/ML decision support & adaptive process control. Through an improved integration between digital systems, an improved management & access of data is generated. It will enable different usage, including product development, process optimization, planning of repairs & the manufacture of more reliable engines. The short term effects are to get a better roadmap for future R&D, & setup of test bed & demonstrators.

Planned approach and implementation

Traditional project and pre-study methodology will be used during this relatively short, 12 month project. In addition to the work package for project management, there are 3 technically oriented work packages: - Literature study, reference models, etc. (State of the art review) and planning of subsequent surveys/interviews. - Survey at GKN Current State and Future State (requirements and functions) - Concept design for visionary “Digital Factory and AI” roadmap

The project description has been provided by the project members themselves and the text has not been looked at by our editors.

Last updated 27 June 2024

Reference number 2023-01563