During the project's first 18 months the main achievement interfacing all ENGINE deliverables and milestones has been the MVP of the ENGINE demonstrator.
This involves particularly the detailed work associated with the main ENGINE system and its components:
-ENGINE exchange for the data management and platform solution for interacting with end users
-ENGINE toolbox to provide the modeling, simulation and artificial intelligence (AI) solutions of the project
-ENGINE production to provide real time interface to monitoring production and product quality, interfacing to AI analysis and inspection of production online.
Additionally, the work has defined the project demonstrator and design workflow ranging all the way from manufacturing product associated materials in steelmaking to post-operational decisions whether to scrap, refurbish or repair used components and everything in between. This workflow is covered parallel to the physical workflow by modeling, simulation and AI solutions to enable the development and improvement of defect free manufacturing methods and practices. These workflows include life-cycle analysis (LCA) and life-cycle cost (LCC) assessment, in addition to development of sensoring to support defect free production and performing of respective experimental activities and trials to support and drive forwards the demonstrator work.
The project has been worked to implement its technical capabilities across work packages while contributing to the project demonstrator (WP1). This involves all the key elements of the activity, developing the ENGINE system (WPs 1-2), data management and interoperability solutions and layers (WP2), modeling and simulation capabilities (WP3), production monitoring and sensoring (WP4), LCA/LCC associated with the project scope (WP6) as well as carrying out experimental programmes (WP5). ENGINE has been active with respect to publication, networking and collaborative activities (WP8), including work refining and assessing our approach for project KERs. The training and education (WP7) have established and are working with the 1st set of use cases and training materials.
Also, a significant milestone was reached at M18 when the ENGINE system was demonstrated as its MVP, meaning, that the simulation, data analysis, instrumentation and measurement and experimental activities across WPs have contributed to the WP1 ENGINE demonstrator and performed linking in analysis of defect generation mechanisms and their effects from the beginning of the ENGINE workflow and value chain (steelmaking) to end-use of the studied connecting rod component as a part of a marine engine. Thus, the ENGINE system can track the respective manufacturing stages and systematically identify effects to product performance. The respective capability then naturally enables inference and optimization across the workflow and analysis of following impacts (e.g. by way of LCA/LCC) and is a step towards enabling decision-making based on the generated knowledge of the defects, their root causes and impacts to manufactured products.