In this project, we aim at building a computational framework and a network of competence to extend the applicability of state-of-the-art formulations to industrially-relevant multiphase turbulent flows. We focus on applications characterized by the transport of particles/droplets in two-phase flows with gas-liquid or liquid-liquid deformable interfaces, which are ubiquitous in process, chemical, and power engineering. The targeted applications are at the crossroads between academic research and practical concerns (e.g. particle deposition in boiling flows, droplet coalescence/breakup in emulsions, freezing/defreezing in heat pipes or changes in two-phase flow patterns) and their modeling in an industrial context represents a major challenge. This is due to the complexity arising from the co-existence of different phases, but also to a lack of cross-fertilization between academia and industry: Several methods and ideas exist but their application is often limited to flows of academic interest, with scarce tra

The mission of COMPOSELECTOR is to develop a Business Decision Support System (BDSS), which integrates materials modelling, business tools and databases into a single workflow to support the complex decision process involved in the selection and design of polymer-matrix composites (PMCs). This will be achieved by means of an open integration platform which enables interoperability and information management of materials models and data and connects a rich materials modelling layer with industry standard business process models. In order to satisfy the need for effectively designing and producing increasingly sophisticated materials, components and systems with advanced performance on a competitive time scale there is a particular need in industry for chemistry/physics-based materials models and modelling workflows which capture the performance of materials, accounting for material internal microstructure and effects of processing, provide accuracy/validation of predicted data, and relevant management of uncertainty and assemble knowledge ready for decision makers to act upon. COMPOSELECTOR will address these needs by integration of (discrete and continuum) materials models and process models as well as structured and unstructured data into a standards-based, open integration framework, implementing uncertainty management and multi-criteria optimisation in order to provide actionable choices, and building tailored knowledge apps to support decision makers. The human interface of COMPOSELECTOR will be supported by Visual Analytics capable of integrating qualitative, quantitative and cognitive aspects for a user-friendly management of the vast quantity of available data. The COMPOSELECTOR BDSS will be applied to and validated by end users targeting accurate, reliable, efficient and cost effective decision-making and management of polymer matrix composite (PMC) materials in the transport and aerospace value chains.

In an expanding world with limited resources and increasing uncertainty, optimisation and uncertainty quantification become a necessity. Optimisation can turn a problem into a solution, thus the main focus of this ETN is to explore and develop new approaches to treat uncertainty in complex engineering systems and use novel optimisation techniques to efficiently deal with large scale problems with many objectives and uncertain quantities. It is generally recognised, in fact, that neglecting the impact of uncertainty on the design of any system or process can lead to unreliable design solutions. Common approaches that make use of safety margins to account for uncertainty in design and manufacturing are not adequate to fully capture the growing complexity of engineering systems and provide reliable and optimal solutions. Aerospace engineering is here taken as a paradigmatic area of research and development that is concerned with complex systems, or system of systems, in which optimality and reliability are of p

The GASVESSEL aims to prove the techno-economic feasibility of a new CNG transport concept enabled by a novel patented Pressure Vessel manufacturing technology and a new conceptual ship design including safe on- and offloading solution. It carries out research and innovates different steps in the value chain from a decision support model to simulate and benchmark scenarios until the process of ship design, new Pressure Vessel designs and manufacturing as well as novel high pressure on- and offloading. The project supports the European Commission’s Maritime Transport Strategy in which maritime transport is considered key to securing Europe’s energy supply. It sets the knowledge base for identifying where the novel CNG concept has added value, develop prototype technologies and related business cases, promote the concept with end-users and foster market introduction, first in Europe, and subsequently beyond. The GASVESSEL project contributes the Energy Union to become less dependent on energy imports by serving as a flexible interconnector which enables energy to flow freely across the EU. The project will make it possible to supply natural gas to places where natural gas is not yet a part of the energy supply e.g. where large investment in regassifiers are not feasible or done (yet) such as the Mediterranean Islands. The concept offers novel cost effective gas transportation and hence promising prospects to start using and monetising the huge amount of currently wasted (flared), stranded and associated gas which is currently wasted or not used, while contributing to reducing an important environmental side effect of global oil exploitation. The validation and proof of concept of the GASVESSEL project is performed by a cost-benefit analyses (financial viability), safety assessment, environmental impact analyses and value chain business cases development in relation to real-life geo-logistic scenarios.