DATA - Drone Design using AI for Transport Applications
DATA - Drone Design using AI for Transport Applications
批准号:
10080391
负责人:
金额:
$6.31万
依托单位:
依托单位国家:
英国
项目类别:
Collaborative R&D
财政年份:
2023
资助国家:
英国
项目状态:
未结题
起止时间:
2023 至 --
中文摘要
点击翻译按钮获取中文摘要
英文摘要
This 6-month feasibility study, a collaboration between Greenjets Ltd and the world leading Whittle Laboratory, University of Cambridge, aims to develop a scalable AI-driven design for customised e-propulsion engines in the transport sector, specifically for Advanced Aerial Mobility solutions, i.e. drones.Customised drones offer optimised performance for various last-mile delivery use cases, reducing energy consumption and emissions compared to other vehicles.Greenjets, as an early-revenue UK SME, faces challenges in the slow and expensive design process, hindering market penetration. To capitalise on the growing AAM market, Greenjets must achieve optimal bespoke designs within shorter timeframes.The Whittle Laboratory, University of Cambridge has developed a novel methodology combining rapid testing and physical parameterisation to address this. Successful implementation of this methodology will enable AI-driven decision making, reducing design time and allowing Greenjets to scale production to meet diverse customer requirements efficiently.
期刊论文(0)
专著(0)
科研奖励(0)
会议论文
海外基金