About the Project
In this research project, the student will explore what we currently know about measurement uncertainty associated to high-density measurement of part geometry and surface texture. The student will acquire expertise in investigating and understanding error sources associated to state of the art measurement technologies, and will work towards the objective of increasing our understanding of how error propagates through the measurement process, ultimately affecting the primary dataset resulting from measurement, i.e. the point cloud or volumetric data. The student will then investigate how error in the point cloud/volumetric data may propagate through the algorithmic procedures commonly applied at the industrial level to verify whether a part conforms to geometric and dimensional specifications, ultimately investigating solutions for the accurate estimation of uncertainty associated to the verification process, thus providing a fundamental contribution towards the development of manufacturing solutions of the future.
The project will be supervised by Professor Richard Leach, from the Manufacturing Metrology Team (MMT), see http://www.nottingham.ac.uk/research/manufacturing-metrology. MMT is an international and diverse team that thrives on openness and coopertation – students work in teams to achieve joint goals in a friendly but professional cohort.
Full fees and stipend are available.
The position is available for UK or EU candidates, but International applicants who can pay the difference between the Home and International Fees would also be welcome to apply.
Candidates must possess or expect to obtain, a high 2:1 or 1st class degree in science, engineering or computer science, or other relevant discipline.
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