The Centre for Modeling & Simulation (CFMS) in the UK has announced it will be leading the Future Engineering System (FES) Project. FES brings together CFMS, aerospace prime Rolls-Royce, leading global engineering and technology services company Siemens, systems integrator Sysemia and digital quality specialist eQ-Technologic with academic specialists from the Sheffield Advanced Computing Research Centre and Leeds University Socio-Technical Centre. The consortium will develop and demonstrate a prototype future engineering system infrastructure to fully integrate engineering data sources within the process lifecycle management (PLM) tool chain.
Creation of complex, high-value aerospace products & components is underpinned by Product Lifecycle Management (PLM) systems,” said Sam Paice, Chief Operating Officer, CFMS. “PLM allows companies to manage the entire lifecycle of a product efficiently and cost effectively, from ideation, design and manufacture, through service and disposal. To date, the high volume and complex format of such raw engineering data sources has made it difficult to handle within PLM. Thus the opportunity to actively manage transient data; correlation of related data sources and uncertainty in those data sources from within a unified platform is lost. Alternative integration platforms for engineering analysis data sources do exist. FES will demonstrate the reduced effort required to integrate packages into enterprise systems. Hosted at CFMS, it will provide a platform for wider dissemination and community engagement.”
With a project value of £4.22m, FES began on 1st April 2016 and will run for three years, completing in 2019. The project is supported by the joint industry and government aerospace R&D funding program, delivered as a partnership between the Department for Business, Innovation & Skills (BIS), the Aerospace Technology Institute (ATI) and Innovate UK.
Within the FES, the project will demonstrate the integration of raw data from CFD and FEA analyses via JT Open to Siemens PLM, with Uncertainty Quantification and Management (UQ&M) functions and automated agent-based quality control. This will be exercised against real industrial use cases from Rolls Royce and demonstrated within a prototype system at CFMS. Dissemination to the wider community – including the aerospace, civil, automotive and renewable energy sectors – will be via a program of open events.