Co-design and AI for Innovation in Ultra-sonic Transducers for Underwater Sonar

水下声纳超声波换能器创新的协同设计和人工智能

• 批准号: 2744677
• 金额: --
• 依托单位: University of Glasgow
• 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-2744677
• 关键词: Co; design; AI; Innovation; Ultra

Currently sonar systems consist of three separate elements. These elements are the device, the electronic circuits, and the AI. The device serves the purpose of translating the sound waves into electrical signals. It consists of a transducer and/or receiver that uses piezoelectric material. The electronic circuits allow for communication between the devices, the AI and the interface. It is also used to affect the circuit when necessary. The AI is used to understand the signals. This can be done using a collection of techniques and tools such as deep learning or creating specialised algorithms. These elements can be constructed and made by different companies and industries and are then brought together to work as a single system. Occasionally getting said devices to operate effectively together can cause issues and results in the whole system being less effective. In this project one system will be designed that will encapsulate every element, resulting in a more effective system.This PhD project, which will suit an engineer, physicist or material scientist, will study how such innovation can be characterised, understood and codified, with a particular aim to shorten the time to realise the potential of innovative materials and structures. It will do this through active exploration of incorporation of lead-free piezoelectrics and textured ceramics into representative transducers. This will exploit new material characterisation techniques and virtual prototyping across a range of software platforms implementing finite element analysis and simpler tools.

目前，声纳系统由三个独立的元件组成。这些元素是设备，电子电路和AI。这个装置的作用是把声波转换成电信号。它由使用压电材料的换能器和/或接收器组成。电子电路允许设备、AI和接口之间的通信。必要时，它也用于影响电路。AI是用来理解信号的。这可以使用一系列技术和工具来完成，例如深度学习或创建专门的算法。这些元素可以由不同的公司和行业构建和制造，然后汇集在一起作为一个系统工作。偶尔让上述设备一起有效运行可能会导致问题，并导致整个系统的效率降低。在这个项目中，一个系统将被设计成封装所有的元素，从而形成一个更有效的系统。这个博士项目将适合工程师，物理学家或材料科学家，将研究如何描述，理解和编码这种创新，特别是旨在缩短实现创新材料和结构潜力的时间。它将通过积极探索将无铅压电和纹理陶瓷纳入代表性传感器来实现这一目标。这将利用新的材料表征技术和虚拟原型在一系列软件平台上实现有限元分析和更简单的工具。