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Laser System Design for Digital Manufacturing
The laser resonator in defence& security systems dictate the system design and is usually the highest cost component of the system. The core laser source, consisting of laser diodes and gain medium, has a major impact on the system’s cooling requirements, optical designs, architectures, manufacturing methods and ultimately on production costs. The design rules for these now need to be re-written, with the emergence for digital manufacturing methods and digital twins.
Therefore, the aim of the research is to develop new design rules, and to apply these to develop and demonstrate novel laser systems utilising emerging digital manufacturing processes, with the specific goal of fully embracing additive manufacturing and autonomous robotic assembly.
Theme Lead: Prof Daniel Esser [Email Address Removed]
https://www.hw.ac.uk/study/apply/uk/postgraduate.htm link to the findaphd.com please mention the potential supervisor in your application.
Smart Products Made Smarter, a collaboration with Heriot-Watt University, University of Edinburgh and Leonardo is pleased to invite applications for PhD studentships to work as part of a leading team of experts. These studentships will be supported by an enhanced stipend of £21,400 per year over 3.5 years.
This grant, sponsored by the EPSRC, is a collaboration between academia and Leonardo. There are currently PhD opportunities available to work on diverse topics as part of this collaborative team. The work will involve strong links with industry.
The research addresses a broad range of challenges. These challenges exemplify future product lifecycle management from smart concept, design, development and manufacture to enhanced end-user capability, united by a common digital thread to enable smarter products to be made smarter. Each challenge area has clearly identified initial research themes and associated research challenges to be addressed and these are indicated below:
Challenge 1 (C1) the Making challenge: To create new hybrid manufacturing processes, that combine multiple Additive Manufacturing (AM) process with precision machining and coating processes to create components that disrupt the traditional functional trade-offs of Size, Weight and Power (SWaP) through techniques such as varying the material properties within a part and harnessing the digital production of optical components.
Challenge 2 (C2) the Manipulation challenge: To create new handling processes that fully exploit the digital data flows which define custom components whose shape and functionality is tailored to production by dexterous, highly adaptable robots that are programmed dynamically.
Challenge 3 (C3) the Computation challenge: To create new signal processing & machine learning methodologies that enable intelligent, digital & connected sensor products while mitigating the data deluge from the multiple sensors produced by Leonardo operating across the EM spectrum.
The themes represent areas that could form the basis of your PhD. These PhD positions offer great flexibility and we welcome the opportunity to explore other ideas & themes.
To submit an application please contact the relevant theme lead indicated below.
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