Next Generation Aircraft Digitally Enhanced Hybrid Material Joint Assembly

下一代飞机数字增强混合材料接头组件

• 批准号: 2754542
• 金额: --
• 依托单位: University of Nottingham
• 依托单位国家: 英国
• 项目类别: Studentship
• 财政年份: 2022
• 资助国家: 英国
• 起止时间: 2022 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=studentship-2754542
• 关键词: Next; Generation; Aircraft; Digitally; Enhanced

Traditional aircraft manufacture can be expensive and slow. Typically, novel manufacturing techniques aim to reduce production costs and time, improve product quality, and enable automation. However, technical challenges still need to be solved before these processes are capable of meeting engineering requirements and being deployed on an industrial scale.The key aim of this PhD is to establish how a specific novel manufacturing technique can be implemented to achieve the greatest positive impacton cost, quality, and time. This includes:Identifing and challenging the state of the art in existing manufacturing processes for assembling aircraft structures;Establishing and characterising:The relationship between different process parameters and how they contribute to the achievement of engineering requirements;The relationship between out-of-tolerance manufacturing processes and the structural integrity of hybrid (CFRP, aluminium, titanium) material joints;Develop a data analytics approach for managing process control and optimising manufacturing processes, utilising data captured and fedback from industrial equipment e.g. drilling machines.

传统的飞机制造可能既昂贵又缓慢。通常，新的制造技术旨在降低生产成本和时间，提高产品质量，并实现自动化。然而，在这些工艺能够满足工程要求并在工业规模上部署之前，仍然需要解决技术挑战。本博士学位的关键目标是确定如何实施特定的新制造技术，以实现对成本、质量和时间的最大积极影响。这包括：识别和挑战飞机结构装配的现有制造工艺中的最先进水平；建立和表征：不同工艺参数之间的关系，以及它们如何有助于实现工程要求；超公差制造工艺与混合(碳纤维、铝、钛)材料接头结构完整性之间的关系；开发数据分析方法，用于管理过程控制和优化制造工艺，利用从工业设备(如钻机)捕获和反馈的数据。