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КартаВръзкиТемиБългарияНощта (K-TRIO)Мария Склодовска-КюриЗа ученициЗа учителиМетодологияИзненадай ме
H2020Докторантска мрежа2018–2022

ENABLE · European Network for Alloys Behaviour Law Enhancement

„Хоризонт 2020“ — Действия „Мария Склодовска-Кюри“

Период
2018-02-01 → 2022-01-31
Финансиране от ЕС
2 316 282 €
Участници
17
Схема
MSCA-ITN-ETN

Линиите свързват координатора с партньорите.

Накратко на български

Поведението на металните сплави при екстремни натоварвания и температури се анализира чрез нови математически модели. Това помага за намаляване на износването на инструментите и оптимизиране на производствените разходи и време.

Този кратък обзор е генериран от изкуствен интелект

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

Резултати накратко

European Network for Alloys Behaviour Law Enhancement

ENABLE proposed to completely rethink the usual methods of process simulation suited for production with reduced premature wear, increased tool life, improved tooling, etc. and will reduce production time and thus production costs. Innovative solutions to reduce costs and weight without compromising performance require mastery of the entire manufacturing process. Each manufactured part is the result of the cumulative effect of the various processes encountered along the whole manufacturing chain. The mechanical properties of metal alloys are commonly used in industrial shaping processes to produce components meeting specific requirements. Manufacturers must optimize their production processes to meet the high demand for new products of greater value in terms of accessibility, quality, productivity, and profitability. The presence of complex phenomena related to fields such as continuum mechanics, thermo- mechanics, metallurgy, and chemistry complicates attempts to control these processes. These phenomena are even more complex in the presence of high stains, high strain rates and high thermal gradients. Predicting the final mechanical state of a structure subjected to dynamic loading involves numerical calculations that require a complete description of the materials’ dynamic behaviour. This description requires the choice of the best model, in terms of both algorithmic calculation code relevance and mechanical relevance.

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

Цел на проекта

ENABLE aims to train early-stage researchers in what is referred to as an outstanding challenge for the future of manufacturing: developing novel solutions for forecasting and mastering processes relevant for all factories using metallic alloys. ENABLE proposes a complete rethink of the usual process simulation method by developing innovative multiscale, multi-physical and multi-level advanced (TRL 1 to 8) simulation. To extend the benefits to a wide range of industrial actors, the simulation will be carried out on several widely-used processes: Machining, Friction Stir Welding and Additive Manufacturing. The most popular metals in industry (Titanium, Nickel based and Aluminium alloys) will be chosen for the scientific investigation. ENABLE will lead to the development of new tools that are better suited to production (reduced premature wear, increased service life, improved tools, etc.) and will reduce production time and thereby production costs.A group of 9 ESR will be introduced to dynamic approaches to exploiting advances in fundamental research towards innovative applications. To “enable” this vision, each trainee will have access to closely integrated complementarities and world-class expertise in mechanical science, materials science, computer science/numerical methods, state-of-the-art scattering, advanced equipment and significant computational resources. Additional cross-disciplinary training and a strong involvement on the part of the 12 Industries and SMEs and research centres will provide the students with transferable skills and complementary competencies which will improve their research training and enhance their future employability. The proposed project has been co-constructed by academics and industries in line with today’s markets requirements and taking into account the “knowledge triangle philosophy” focusing on a strong interaction between research, education and innovation, which are key drivers of a knowledge-based society.

Оригинален текст от CORDIS (на английски).

Участници

Връзки

Данни: CORDIS, © Европейски съюз