H2020Индивидуална стипендия2020–2022

MACADAMIA · Machine learning Augmented Computational Analysis of composite panels: new insights into DAmage Mechanisms In Aerospace structures with nanoparticles

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

Период: 2020-09-01 → 2022-08-31
Финансиране от ЕС: 175 572 €
Участници: 1
Схема: MSCA-IF

Линиите свързват координатора с партньорите.

Накратко на български

Наночастици в съединенията на композитни панели, като например Т-образните връзки в самолетните крила, се изследват за забавяне на пукнатините. Това помага за намаляване на теглото на самолетите чрез отказ от металните крепежни елементи, което подпомага целта за въглеродно неутрална авиация.

Този кратък обзор е генериран от изкуствен интелект

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

Резултати накратко

Machine learning Augmented Computational Analysis of composite panels: new insights into DAmage Mechanisms In Aerospace structures with nanoparticles

The motivation of this project is to enable the design of primary aircraft components with fewer parts and lower weight by joining composite panels without mechanical fasteners. Such lightweight stiffened panels are critical to mitigating aviation’s environmental footprint, currently at 3.5% due to emissions and land-use effects [1], and aligning with Europe’s goal of carbon-neutral aviation by 2050. However, mechanical fasteners are used in large quantities when bonded and/or co-cured composite joints are employed in primary load-bearing structures i.e., fuselage and wings. This conservative design is warranted because a reliable prediction of damage propagation and failure in composite joint panels is unavailable with current strategies, leading to their consequent ‘overdesign’ and added structural weight. To accomplish the objective of designing joints with high damage tolerance without the use of fasteners, MACADAMIA focuses on joining composites via co-curing in the presence of nanoparticles at the interface. The project objectives involve testing the effectiveness of using nanoparticles at the interfaces to arrest/delay crack growth and to understand the multiscale nature of crack propagation at joined interfaces. A proof-of-principle approach of integrating nanoparticles in co-cured interfaces is demonstrated and the interfacial fracture properties are measured under different loading modes. A new manufacturing approach to include nanoparticles as partially-cured interleaves is realized. A change in the nature of damage propagation is observed due to the direct interaction of nanoparticles with the crack front. Furthermore, the same approach is scaled up to a T-joint (highly common aircraft joint) where the nanoparticles are embedded in critical damage-prone interfaces and revealed to improve the resistance and stability of crack growth in the structure. Thus, this technique may open avenues to manufacture reliable aircraft components with fewer mechanical fasteners. 1.Lee, David S., et al. Atmospheric Environment 244 (2021): 117834.

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

Цел на проекта

MACADAMIA ambitiously seeks a seamless integration of machine learning concepts with physics-based models to optimise aerospace stiffened panels for damage tolerance. As an innovative strategy to delay damage, nanoparticles will be added in failure-prone hot-spots of composite stiffened panels to serve as damage arrest features. The efficacy of machine learning when used in conjunction with advanced computational methods for data classification and prediction will be smartly leveraged to classify and predict damage mechanisms in aircraft structures, the understanding of which is critical to their safe implementation.In aircraft, stiffened composite panels are popular alternatives to structures with mechanical fasteners because they retain strength while reducing weight and part count; but cost and weight savings cannot be fully realized until stiffened panels are certified without fasteners in primary load-bearing structures. It is estimated that a one-pound weight reduction on each aircraft in a commercial fleet would result in fuel savings of 14000 gallons/year, which also mitigates the environmental impact of flight. To strengthen the competitiveness of European aerospace technologies in compliance with evolving environmental regulations, it is vital to work towards accelerated certification of fastener-free composite panels. Major challenges to this goal are: i) damage mechanisms in stiffened panels are complex and coupled, making the evaluation of strength and durability difficult; ii) predictive models for life-cycle estimation have large uncertainty. MACADAMIA envisions an approach with carefully designed experiments for nanoparticle inclusion along with physics-based models to investigate strength and damage evolution in stiffened panels, and machine learning to further optimise them for longer useful life. Multidisciplinary concepts of structural mechanics, computational physics, nanotechnology and machine learning will be used to accomplish research plan.

Оригинален текст от CORDIS (на английски).

Участници

TECHNISCHE UNIVERSITEIT DELFT · DelftКоординаторНидерландия