Project Code: EPSRC_2023_21
Project Introduction
The physics behaviour used in games engines provides an efficient method of coding for engineering applications. This PhD will create new algorithms for the high-fidelity digital twin of machine tools and industrial robots to predict the error of geometric features, which form the specification for manufacturing tolerances. This pushes the bounds of the normal game programming (in millimetres) to micrometre accuracy, while considering the impact on computation time.
Project Details
Digital manufacturing is often applied to monitoring the process as it happens. This project focusses on accuracy at the design stage (prediction) and at the runtime stage (during manufacture) to enable model-reference control. Advanced research within our research group has taken standard machine measurement equipment to be able to predict the accuracy of machinery. This is a large step-forward. However, the need for manufacturers is to make this interpretable as the impact of the machine on the accuracy of the finished part.
This project tackles the engineering challenge of combining the error measurements, with the design intent of the part, to predict errors within features (metal left on, or too much removed) to be able to determine whether a machine will be capable for a machining task. As the machine performance varies over time (wear in the system) these models need to be maintained. They also require an estimation of the uncertainty of the prediction since no measurement is 100% true and all models make assumptions. In essence the output should be in the form of an inspection report, showing what can be expected to be produced by a machine in a given condition.
The novelty from the computing domain is that modelling and predictions are at the micrometre level, which is perhaps 100 times smaller than in gaming, where compromises on modelling accuracy are tolerated in favour of speed (to avoid lag in gameplay). The project therefore also needs to ensure that micrometre-level accuracy can be maintained while optimising code and software approach to make simulations as efficient as possible.
The core software which the research group has already developed, albeit not within a gaming engine, has already attracted attention from Machine Tool Technologies Ltd, who are in the process of commercially exploiting the original version. They would be interested in any further developments, providing a clear route to future impact.
Entry Requirements
1st/2:1 or MSc with Distinction in Computer Science, Games Programming, Mechanical or Manufacturing Engineering, or closely related subject
This call is open to UK Applicants only.
Applicants should be of outstanding quality and exceptionally motivated.
The studentships are funded for 3 years subject to satisfactory annual performance and progression review, and will provide for tuition fees and a tax-free stipend paid monthly.
Please note that there are more projects than funded studentships available and therefore this is a competitive application process which will include an interview. Shortlisted candidates will be contacted for an interview in person or via Teams. After interview the most outstanding applicants will be offered a studentship.
Queries about the application process are welcome and should be directed by email to [Email Address Removed].
Informal enquiries about individual projects should be directed to the lead supervisor listed for each project.
Application details
- Complete the Expression of Interest Form 2023
- Provide copies of transcripts and certificates of all relevant academic and/or any professional qualifications.
- Provide references from two individuals
Completed forms, including all relevant documents should be submitted via-email to [Email Address Removed]
Please note: if you do not attach all the relevant documentation prior to the closing date of 15 June 2023 your application will not be considered.
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