H2020Индивидуална стипендия2021–2023

D4M · Data-Driven Design of Disordered Materials

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

Период: 2021-04-01 → 2023-03-31
Финансиране от ЕС: 203 149 €
Участници: 1
Схема: MSCA-IF

Линиите свързват координатора с партньорите.

Накратко на български

Архитектурни материали с неправилна структура, подобни на тези в природата, се проектират чрез машинно обучение и графични модели. Това помага за създаването на по-издръжливи компоненти за авиацията или материали, които по-ефективно абсорбират енергия при удар.

Този кратък обзор е генериран от изкуствен интелект

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

Резултати накратко

Data-Driven Design of Disordered Materials

Architected materials, i.e. materials that derive their properties from their structure and geometry, have enjoyed increasing popularity partly due to continuous advances in manufacturing techniques at different scales. They have been used successfully in different contexts including the design of stiff and tough materials for structural applications or aerospace components, or the design of materials that can absorb energy for impact applications. Yet, the design of such materials has so far been been based on regular and periodic patterns, which implies a very limited design space. On the contrary, nature provides plenty of examples of irregular materials with superior mechanical properties (e.g. flaw tolerance) compared to regular systems. The objective of the project D4M ("Deform") is to develop a framework for the data-driven, and hence experience-free, design of architected cellular materials that exploits disorder. In particular, the project focuses on materials which can be described as networks, and leverages modern graph machine learning techniques, and efficient experimentally validated mechanical models to facilitate their design. Through a combination of theoretical, computational and experimental studies, it was shown that a) disorder may be used beneficially to design materials with enhanced mechanical properties such as increased energy absorption during fracture, and b) graph machine learning may be used as an efficient tool to achieve these designs.

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

Цел на проекта

With increasingly advanced manufacturing techniques, architected materials or metamaterials continue to gain popularity. Researchers have produced ultrastrong, ultrastiff and ultralight metamaterials, whose anomalous properties emerge upon mechanical actuation. Their vast majority are designed with a periodic and regular lattice structure. On the other hand, architected disordered materials have received little attention (e.g. earlier studies on foams) despite their robustness and flaw tolerance compared to regular lattice-based materials. This is largely due to their vast design space, which has been inaccessible with standard sampling techniques. The aim of the project D4M (DEFORM) is the development of a novel rational framework for material design, that systematically exploits disorder, and is completely data-driven, and hence experience-free. The framework relies on four synergistic elements: i) a unified network-theoretic representation of disordered material architectures, ii) the use of mechanics and complex networks as tools for evaluating design objectives, iii) the development of efficient graph machine learning techniques for executing the design, and iv) the practical implementation and validation of a suite of designs by additive manufacturing and testing. By focusing on design objectives such as high energy absorption and tailored nonlinear deformation response, the proposed research is expected to have a diverse impact in the design of cellular, granular and fibrous materials with applications in biomechanics (prosthetics, orthotics, bioimplants) and the sports industry (protective equipment, clothing, shoes). The implications of the proposed research stretch beyond these engineering applications and into the scientific understanding of complex biological systems such as bone and collagen. This project will constitute a significant next step for the academic reintegration and professional establishment of the researcher in Europe.

Оригинален текст от CORDIS (на английски).

Участници

EIDGENOESSISCHE TECHNISCHE HOCHSCHULE ZUERICH · ZuerichКоординаторШвейцария