About the Project
Faculty of Engineering (University of Bristol)
Airborne Composites UK Ltd, Membury, Wiltshire
The context of this research is within the field of composite materials and manufacture, with focus on enabling process data capture and re-use in form of feedback to the manufacturing process, and also exploring the efficacy of digital technologies (AI / machine learning / digital twinning) in composite manufacturing.
The following aims will be targeted in this research:
• Digital modelling inclusive of process prediction and data analytics
• Enabling the connection of sensor data with the digital model
• Enabling a feedback loop from the digital model into the process quality control system
• Sensor integration
• Inline visual inspection
• Active process control using deep learning
• Predicting defect in composites using deep learning.
The project will aim to deliver understanding of the true effectiveness or limitations of digital technologies as well as methodologies for their effective deployment in composite manufacturing environment.
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.
How to apply: If you are interested in applying for this EngD project please send your CV, covering letter and academic transcript to [Email Address Removed]
PLEASE NOTE THAT THIS PROJECT IS NOT AVAILABLE TO INTERNATIONAL STUDENTS DUE TO TIER 4 VISA REQUIREMENTS.
Applicants with ‘home student’ status and holding or about to graduate with a first or 2.1 degree in structural or chemical engineering, materials science or physical sciences.
Stipend: £21,500 p.a.
Standard EPSRC studentship eligibility criteria apply: http://www.epsrc.ac.uk/skills/students/help/Pages/eligibility.aspx
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