HEИндивидуална стипендия2023–2025

ADeHEx · Advanced Design of Heat Exchangers using multiscale models and machine learning

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

Период: 2023-10-01 → 2025-09-30
Финансиране от ЕС: 230 774 €
Участници: 2
Схема: HORIZON-TMA-MSCA-PF-EF

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Накратко на български

Топлообменниците се проектират чрез математически модели и машинно обучение, за да се създадат по-ефективни системи за охлаждане в електрониката и транспорта. Това помага за намаляване на енергийния разход и вредните емисии 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

Advanced Design of Heat Exchangers using multiscale models and machine learning

The project addressed the urgent need for more energy-efficient cooling technologies, which are critical for a sustainable and climate-neutral society. Modern industries such as electronics, renewable energy, and transportation face increasing challenges in managing heat while reducing energy consumption and greenhouse gas emissions. Traditional design methods for heat exchangers and cooling devices are limited in their ability to fully exploit new manufacturing techniques such as additive manufacturing. The project set out to develop advanced design methods based on topology optimisation, which is a computational approach that automatically generates highly efficient structures. By combining mathematical models, multi-scale simulation, and emerging techniques in machine learning, the project aimed to deliver design frameworks capable of producing cooling systems with unprecedented efficiency and manufacturability. The overall objectives are as follows: 1. To create novel homogenisation- and de-homogenisation-based topology optimisation methods for fluid and heat transfer. 2. To integrate machine learning for surrogate modelling and faster optimisation. 3. To demonstrate pathways towards industrial applications through collaboration with international partners and industry. These objectives are aligned with European strategic goals for climate neutrality, industrial innovation, and sustainable energy systems. The project pathway to impact lies in bridging fundamental research and industrial practice, enabling new generations of heat exchangers and cooling technologies that are both high-performing and manufacturable.

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

Цел на проекта

Heat exchangers (HXs) are at the heart of many energy systems, one example being engine cooling in the aviation industry. Advanced design of HXs is urgent since aircraft systems are becoming smaller and need to become more efficient. Through topology optimisation (TO) and additive manufacturing (AM), custom compact HXs will be designed to cool the engines of tomorrow. Although TO of thermofluidic problems has recently undergone tremendous development, the technology is mostly limited to academic problems, since existing approaches are restricted to macroscopic design with extreme computational cost being prohibitive for industrial applications.The objective of ADeHEx is therefore to propose an integrated design methodology for multi-scale 3D fluid-to-fluid HXs using machine learning-based de-homogenization. Specifically, I will a) construct a homogenized thermohydraulic computational model; b) use convolutional neural networks to recover detailed micro-channel design from homogenization-based TO, reducing computational time by at least two orders of magnitude. Implemented at University of Southern Denmark and at the secondment, Brown University, a two-way transfer of knowledge is guaranteed through my expertise in level-set-based TO and the expertise of the supervisors in complex multiphysics modelling and physics-based machine learning. ADeHEx will a) consolidate my academic excellence and professional maturity through new skills and competences in machine learning, homogenized thermohydraulic models, teaching, supervision, project management, dissemination, industrial engagement, networking; b) harness the complementary expertise of two strong multidisciplinary teams, pushing research to the forefront of design engineering and computer science and informatics; c) revolutionize the design process of HXs and multiphysics system optimisation, while benefiting EU companies in manufacturing, aviation, etc., and raising European economic competitiveness.

Оригинален текст от CORDIS (на английски).

Участници

SYDDANSK UNIVERSITET · Odense MКоординаторДания
BROWN UNIVERSITY · Providence, RiСъединени щати