Invited talk at EuroNanoForum 2017 by the EMMC (European Material Modelling Council). 

Abstract: The integration of modelling and simulations techniques to support material selection and design process is more and more impelling in the materials science and industrial domains, due to the need of effectively designing and producing increasingly sophisticated materials, components and systems with advanced performance on a competitive time scale. In this perspective, for complex structural materials there is a particular need in industry for chemistry/physics-based materials models and modelling workflows that fulfil the following requirements: i) predicting relevant properties and key performance indicators that capture the performance of materials, accounting for material internal microstructure and effects of processing and ii) accuracy/validation of predicted data, and relevant management of uncertainty. Materials selection and structural design are fundamentally goal-oriented, aimed at identifying material structures and processing paths that deliver required properties and performance. To be reliable, this process must be built upon a physical and engineering framework and based upon methods that are systemic, effective and efficient in modelling complex, hierarchical materials. For material design and selection, understanding and quantifying the links between material microstructure and their macroscopic effects is, therefore, essential. In parallel, high performance requires not only comprehensive material properties modellng but also understanding of risks, costs, and business opportunities for a range of decisions, from material selection to designing functional structural components and systems, and for process optimization. Last but not least, design and selection of must also accommodate societal requirements for health and sustainability. In my presentation, I will talk about the connection between material modelling and business processes where the coupling between performance, material, manufacturing process, cost, market and societal requirements constraints are exploited.

Click here to upload the presentation. 

Main Fields of Interest: Composite Material and Structure, Computational Mechanics, Materials by Design.

 

 

A Steering Committee meeting of COMPOSELECTOR project took place in Bordeaux on 14 of June 2017 hosted by ESI-Group (Dr P. De LUCA and Dr S. Mueller).  The Project’s results for the previous six-month period and work plan for June 2017-December 2017 were presented and dicusssed during this meeting. All project partners have participated in the meeting and appreciated project achievements.

 BORDEAUX 14 06

From left to right: L. Adam (Exstream), M. Fouinneteau (Airbus), D. Dykeman (Granta), P. Polinska (Goodyear), H. Koelman (Dow), S. Belouettar (LIST),  S. Mueller (ESI), P. De Luca (ESI), A. Daouadji (INSA-Lyon), A. Berto (Granta), M. Petrolo (Polito), E. Paulini (U. Trieste), Dominico (U. Trieste), B. Patzakl (U. Prague) and G.Giunta (LIST).

Multiscale Composite Material Selection Platform with a Seamless Integration of Material Models and Multidisciplinary Design Framework (COMPOSELCTOR) project had it kick-off meeting at the Luxembourg Institute of Science and Technology on the 11th and 12th of January 2017. 

IMG 20170112 1212336r

Marco Petrolo, Laurant Adam, Gaetano Giuta, Dona Dykeman, Marco Pagani, Angela Madeo, David Ruch, Salim Belouettar, Patrick De Luca, Hein Koelman, Ahmed Makradi, Philippe Dubois, Anne de Baas (Project Officer), Rajab Said, Stephanie Friob, Erik Laurini, Thomas Tamisier, Ali Daouadji, Pietro Asinari, Sabrina Pricl. 

 

COMPOSELECTOR organised a training on MuPIF training at the University of Prague on the 27th and 28th of March 2017.  MuPIF is a Multi-Physics Integration Platform developed in the framework of a former European Project. MuPIF will be used in the context of COMPOSELECTOR project to facilitate the implementation of the multi-physics and multi-level simulations built from independently developped components. The main role of the platorm is to steer individual components (applications) and to provide high-level data exchange services. Each application should implement an interface that allows to steer application and execute data requests. The design supports vaious coupling strategies, decretization techniques, and also distributed applications. 

 picture training v2

Training Materials