Interactive Semi-automatic Generation And Assessment Of Design Alternatives In Engineering

工程中设计方案的交互式半自动生成和评估

• 批准号: 2891552
• 金额: --
• 依托单位: University of Southampton
• 依托单位国家: 英国
• 项目类别: Studentship
• 财政年份: 2023
• 资助国家: 英国
• 起止时间: 2023 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=studentship-2891552
• 关键词: Interactive; Semi; automatic; Generation; Assessment

The passenger aircraft industry is heading into an era of rapid innovation, with environmental impact constraints demanding massive technological departures from the status quo. Working with engineers from AIRBUS, as a holder of this fully funded PhD studentship, you will help develop new computational tools required to accomplish this leap towards decarbonising aviation.The current generation of design tools was conceived to facilitate incremental improvements on systems with a largely frozen layout. This PhD will focus on using the latest geometry modelling/machine learning/AI techniques to develop approaches that automate the exploration of large design spaces, thus enabling radical, new solutions. This will be especially important in application areas where there is limited legacy design knowledge to rely on to steer optimisation processes, such as liquid Hydrogen (LH2) fuel systems and electric propulsion systems.The underlying research questions have multiple facets and the student will thus have some flexibility, working with the supervisors, in choosing a line of enquiry that best suits your interests, spanning geometry modelling, numerical optimization, AI algorithms, physics-based form finding techniques, and designer/computer interface development. This PhD also offers the rare opportunity to join two vibrant teams working at the cutting edge of design and design tool development: the Aeronautics and Astronautics Department at the University of Southampton and, as part of a secondment of at least six months, an engineering team at AIRBUS, Filton. Your supervisory team will also include researchers from both the University and AIRBUS.

客机行业正进入一个快速创新的时代，环境影响的限制要求与现状大规模偏离。您将与来自空中客车公司的工程师（作为这项全面资助的博士生奖学金的持有人）合作，您将帮助开发新的计算工具，以实现这一飞跃朝着脱碳航空的飞跃。当前的设计工具被认为可以促进具有很大冻结布局的系统的增量改进。该博士将着重于使用最新的几何建模/机器学习/AI技术来开发自动化大型设计空间的方法，从而实现激进的新解决方案。这将在有限的遗产设计知识中依靠的应用领域尤其重要技术和设计器/计算机接口开发。该博士还提供了难得的机会，可以加入两支在设计和设计工具开发的最前沿工作的充满活力的团队：南安普敦大学的航空和宇航学系，作为至少六个月的借调的一部分，是菲尔顿空中客车的一支工程团队。您的监督团队还将包括大学和空中客车公司的研究人员。