The ability to measure manufacturing process parameters during composite manufacturing is an important component to quantifying manufacturing processes, validating process modelling capability and generating the inputs required for automated in-process adaptation, machine learning, and development of digital twins.
This project will:
• Identify the key process parameters for a composite manufacturing technique and the sensing capability available to quantify them in-process
• Simulate using multi-physics the performance of the sensor to ensure the data generated is valuable for the identified use
• Design and manufacture a tooling system that incorporates the sensors to demonstrate and validate their use
PLEASE NOTE: Applications are considered as soon as they are received, and the position will be allocated as soon as a suitable candidate is found.
Project start date: As soon as possible
PLEASE NOTE THAT THIS PROJECT IS NOT AVAILABLE TO INTERNATIONAL STUDENTS DUE TO TIER 4 VISA REQUIREMENTS.
An upper second-class degree (or equivalent qualification) in an appropriate discipline.
How to apply: If you are interested in applying for this EngD project please send your CV and a covering letter to the IDC at [email protected]
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