课题基金 / 基金详情

SCALE:Industry empowerment to multiphase fluid dynamics simulations using Artificial Intelligence & statistical methods on modern hardware architectur

SCALE:Industry empowerment to multiphase fluid dynamics simulations using Artificial Intelligence & statistical methods on modern hardware architectur
规模:使用人工智能进行多相流体动力学模拟的行业授权
批准号:
EP/Y034686/1
负责人:
Manolis Gavaises
金额:
$66.43万
依托单位:
依托单位国家:
英国
项目类别:
Research Grant
财政年份:
2023
资助国家:
英国
项目状态:
未结题
起止时间:
2023 至 --

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中文摘要
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英文摘要
Multi-phase, trans/supercritical and non-Newtonian fluid flows with heat and mass transfer are critical in enhancing the performance of energy production, propulsion and biomedical systems. Examples include: hydraulic turbomachines, ship propellers, CO2-neutral e-fuels and e-motor cooling systems, particleladen flows in inhalers and focused ultrasounds for drug delivery. What all these cases have in common is the high level of complexity which makes Direct Numerical Simulations impossible. State-of-the-art LES simulations rely on simplified assumptions but do not have yet the desired accuracy, while often require enormously expensive CPU resources. The aim of project (acronym 'SCALE') is to develop simulation methods and reduced-order models using physics-informed and data-driven Machine Learning and optimisation methods for such flow processes. These will be trained against 'ground-truth' databases that will be generated for the first time using both DNS and experimentally validated, industry-relevant LES and multi-fidelity RANS simulations. The new simulation tools will be applied for the first time to industrial problems and their ability to accelerate design times and improve accuracy will be jointly pursued and evaluated with the non-academic partners of SCALE. These are international corporations and market leaders in the aforementioned areas. Holistic training by experts from science and industry includes broad reviews on relevant scientific topics, modern high performance computing architectures suitable for performing such simulations, big data analytics as well as extensive support for mastering scientific tasks and transferring the knowledge acquired to industrial practice. SCALE will also deliver transferable soft skills training from a well-connected cohort of leaders with the ability to communicate across disciplines and within the general public. This coupling of research with industry makes SCALE a truly outstanding network for doctoral candidates to start their careers.
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Multiphase Flow Optimisation Strategies with Industrial Applications (MFLOPS)
  • 批准号:
    EP/X041387/1
  • 项目类别:
    Research Grant
  • 资助金额:
    $101.39万
  • 财政年份:
    2023
  • 负责人:
    Manolis Gavaises
  • 依托单位:
Investigation of Non-Spherical Droplets in High-Pressure Fuel Sprays
  • 批准号:
    EP/K020846/1
  • 项目类别:
    Research Grant
  • 资助金额:
    $29.63万
  • 财政年份:
    2014
  • 负责人:
    Manolis Gavaises
  • 依托单位:
国内基金
海外基金
影响外商直接投资在我国产生行业内(intra-industry)溢出效应的行业要素
  • 批准号:
    70473045
  • 项目类别:
    面上项目
  • 资助金额:
    14.0万元
  • 批准年份:
    2004
  • 负责人:
    陈涛涛
  • 依托单位: