HEДокторантска мрежа2023–2027

RELIANCE · REaL-tIme characterization of ANisotropic Carbon-based tEchnological fibres, films and composites

„Хоризонт Европа“ — Действия „Мария Склодовска-Кюри“

Период
2023-02-01 → 2027-01-31
Финансиране от ЕС
2 854 966 €
Участници
16
Схема
HORIZON-TMA-MSCA-DN

Линиите свързват координатора с партньорите.

Накратко на български

Високотехнологични въглеродни влакна и композитни материали се анализират в реално време чрез усъвършенствани рентгенови инструменти. Това помага за по-прецизен контрол на качеството и по-ефективно производство на материалите в индустрията.

Този кратък обзор е генериран от изкуствен интелект

Кратко обяснение, генерирано от езиков модел по текста на CORDIS. Оригиналът е по-долу.

Резултати накратко

REaL-tIme characterization of ANisotropic Carbon-based tEchnological fibres, films and composites

Improving Materials Manufacturing with Advanced X-ray Tools The RELIANCE network aims to enhance the manufacturing and quality control of high-performance polymeric materials and composites by developing advanced X-ray imaging and scattering tools. These tools will enable real-time, automated characterization of materials at the nanoscale, ensuring precision, reliability, and efficiency in the manufacturing process. Doctoral Training Programme and Industry Collaboration RELIANCE trains 14 Doctoral Candidates in X-ray imaging, scattering, data reconstruction, machine learning, and automated analysis. The intensive network-wide doctoral training programme covers all aspects of these fields. Each research project is defined in collaboration with industry partners, addressing materials and problems closely related to their development programmes. This collaboration benefits industry partners through direct exploitation of results or access to a pool of knowledge and well-educated staff. Doctoral Candidates gain practical experience and knowledge, making them highly employable with skills aligned with Industry 4.0. Addressing Key Manufacturing Needs RELIANCE addresses the need for faster, more precise, and reliable real-time nanoscale characterization to ensure high-quality materials. Traditional methods relying on force and temperature control are insufficient for monitoring developing structures in-line during production. These industrial processes involve shaping materials by subjecting them to carefully adjusted processing parameters like force, temperature, and speed. While these parameters are easy to control, monitoring the developing structure in-line is challenging. Impactful Outcomes RELIANCE aims to achieve several impactful outcomes by integrating real-time data analysis with advanced X-ray scattering tools. This integration will provide high-speed characterization of nanoscale structures, allowing instant feedback to optimize manufacturing processes, identify defects, and improve material properties. This shift from in situ to in-line applications enables smart production lines with autonomous process control. The methodologies developed will equip production lines with smart sensors and detectors, combined with modelling and large-scale data handling. Consortium of Leading International Experts To achieve these ambitious goals, RELIANCE brings together a consortium of leading international experts in X-ray scattering, imaging, automated analysis of scattering data, 3D reconstruction algorithms, and automated analysis of imaging data. This consortium includes industrial leaders in manufacturing high-performance polymer materials and composites, and highly specialized X-ray instrumentation.

Текст от CORDIS, на английски · Данни: CORDIS, © Европейски съюз

Цел на проекта

RELIANCE will develop and implement depth-resolved multimodal X-ray imaging and scattering tools that will enable the automated real-time characterization at the nano-scale of the structure and morphology of materials, devices and their manufacturing processes, reliably and with precision. Providing training in the use of these tools, as well as training in open-access science and development of transferable skills for all ESR fellows is one of the key objectives of RELIANCE.The methodologies developed by RELIANCE will be implemented for optimizing and controlling the processing of high-performance polymeric materials and composites, i.e. solution-spinning of aramid fibres, compaction-heat stretching of polyethylene film, and pultrusion of composites. RELIANCE will significantly improve quality control of a wide range of technological materials used in composite materials. Through integration of real-time data analysis and process parameters by application of machine learning, the methods will lend themselves to Industry 4.0 solutions relying on cyber physical systems for decentralized decisions based on actual, current structural properties observed during processing. The real-time access to nanostructure in the diverse applications is provided by specialized X-ray instrumentation. A shared methodology for data reconstruction and machine-learning assisted analysis exploiting prior knowledge and modelling of structural anisotropy, is applied to enable the data reduction speed required to match industrial processing. RELIANCE brings together a consortium of leading international experts in X-ray scattering, imaging and automatized analysis of scattering data, 3D reconstruction algorithms and automatized analysis of imaging data and Materials Applications, with industrial leaders in manufacturing and application of high-performance polymer materials, and in highly specialized X-ray instrumentation and scientific data acquisition and analysis.

Оригинален текст от CORDIS (на английски).

Участници

Връзки

Данни: CORDIS, © Европейски съюз