H2020Individual fellowship2019–2021

CINEMA · Creating an Infrastructure for the Numerical Exploration of Metallurgical Alloys

Horizon 2020 — Marie Skłodowska-Curie Actions

Duration
2019-04-01 → 2021-03-31
EU contribution
€160,932
Participants
1
Scheme
MSCA-IF-EF-RI

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Results in brief

Creating an Infrastructure for the Numerical Exploration of Metallurgical Alloys

Manufacturing has considerable economical, technological, and environmental importance at the global scale, impacting fields such as transportation, energy, safety, and healthcare, among others. In this sector, due to the complex links existing between materials processing, microstructure, properties, and their performance, the discovery of new materials has, for centuries, relied on costly and ineffective trial-and-error experiments. However, with the advent of high-performance computing, this paradigm is ready to be guided and made substantially more efficient (in terms of both time and resources) by the use of “computational experiments”, provided that the appropriate physics and scales are appropriately integrated. Within this context, the key objective of this project is to build a computational infrastructure for computational exploration of alloys, by adapting, combining, and linking together different materials models, at different scales, and with different purposes – e.g. models linking processing to microstructures to other models linking microstructures to properties. With a strong focus on metallic materials produced by solidification processing (e.g. casting, welding, or additive manufacturing), this project shapes the foundations for computational discovery of structural materials and the optimization of metallurgical process.

Data: CORDIS, © European Union

Project objective

Manufacturing has considerable economical, technological, and environmental importance at the global scale, impacting fields such as transportation, energy, safety, and healthcare. Materials innovation has long relied on costly and ineffective trial-and-error experiments. Meanwhile, computational routes face challenges due to the multidisciplinary and multiscale aspects of linking materials processing, microstructure, and ultimately properties. By building an infrastructure for computational exploration of alloys, this project will put together foundations for computational discovery of structural materials, e.g. by means of high throughput and machine learning methods, which could lastingly change the way we approach metallurgical innovation.The project will bring together two complementary sets of skills, with a researcher expert in linking materials processing to microstructures, and a supervisor expert in predicting the mechanical behavior of complex microstructures. While adding an essential piece of competence to the host institution, the project will support the growth of the candidate as he aims at building a world-class research group in Europe. He will also gain key skills in software development, and a number of management and transferable skills with the support of award-winning management and human resources personal (monitored through detailed plans for career development, data management, and exploitation, dissemination, and communication of results). The impact and reach of the action will be maximized. First, by openly distributing all major components of the computational framework. Then, with scientific publications in high-impact scientific journals, as well as a broad range of outreach activities in the form of publications in non-technical outlets, reach out events to young and non-technical audiences, while ensuring accessibility to the widest possible audience (e.g. through commitment to international accessibility standards).

Original text from CORDIS.

Participants

  • FUNDACION IMDEA MATERIALES · GetafeCoordinatorSpain

Links

Data: CORDIS, © European Union