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Biography
Dr Qunfen Qi is a senior research fellow in the EPSRC future advanced metrology hub at the University of Huddersfield. Qunfen has a BEng degree in Mechanical Engineering and an MSc in Measurement Technology. She was awarded a PhD by the University of Huddersfield on 2013 with a thesis entitled “Bridging the knowledge gap between design, manufacture and measurement in the field of surface texture” under the supervision of Professors Dame Xiangqian Jane Jiang, Professor Liam Blunt and Professor Paul J Scott at the Centre for Precision Technologies (CPT), University of Huddersfield.
Qunfen’s research lies in the field of knowledge modelling for manufacturing covering: smart information systems, abstract mathematical theory (category theory), Geometrical Product Specifications and Verification (GPS), additive manufacturing (AM), surface design and metrology. She has worked for ten years in developing decision-making tools for smart product design and inspection, using category theory as its foundation.
Qunfen is recently awarded an EPSRC UKRI Innovation Fellowship. The aim of her fellowship is to develop a universal categorical language that supports semantic representation, reasoning and interrogation for the manufacturing system, especially for AM, where traditional design for manufacturing rules or guidelines are no longer applicable, and expertise in AM design, process control and inspection is in growing demand. The formalisation of AM knowledge will help designers in understanding: the capabilities and limitations of various type of AM process; how geometrical design and process parameters affect each other; and how to configure process parameters to guarantee the required geometrical variability. This will greatly improve the process repeatability and part-to-part reproducibility, and significantly reduce power usage and failure rate, lower the cost of production and make a more environmentally-friendly manufacturing technology.
Qunfen is a member of the EPSRC Peer Review Full College, a fellow of the Higher Education Academy (FHEA), an EPSRC sponsored member of Women's Engineering Society (WES). She was invited to give several talks (UK, China) representing woman scientists to speak about her research vision and share her experience. She also contributes to teaching in Mathematics, Mechanical Science and Engineering and Dynamic Systems, supervision of post-doc research fellows, co-supervision of PhD students, supervision of Masters students and final year undergraduate students. She has peer reviewed for leading journals in advanced manufacturing such as Journal of Intelligent Manufacturing, Virtual and Physical Prototyping, Measurement Science Review, Computer-Aided Design, International Journal of Advanced Manufacturing Technologies, Materials, Measurement Science Technology, Precision Engineering, ASME Journal of Computing and Information Science in Engineering, Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture, and multidisciplinary journals such as IEEE Access, and Applied Sciences.
Research Expertise and Interests
- Knowledge representation
- Category theory for knowledge representation, reasoning and modelling
- Knowledge modelling of Additive Manufacturing
- Fundamental structure of Geometrical Product Specifications and Verification (GPS)
- Knowledge representation of GPS
- Surface texture design and metrology
- Geometrical tolerance design and metrology
- Computer Aided Tolerancing
- Uncertainties of GPS
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Network
Projects
- 1 Active
Research output
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An additive manufacturing process selection approach based on fuzzy Archimedean weighted power Bonferroni aggregation operators
Qin, Y., Qi, Q., Scott, P. & Jiang, J., 1 Aug 2020, In: Robotics and Computer-Integrated Manufacturing. 64, 20 p., 101926.Research output: Contribution to journal › Article › peer-review
Open AccessFile3 Citations (Scopus) -
A novel learning-based feature recognition method using multiple sectional view representation
Shi, P., Qi, Q., Qin, Y., Scott, P. & Jiang, J., 1 Jun 2020, In: Journal of Intelligent Manufacturing. 31, 5, p. 1291-1309 19 p.Research output: Contribution to journal › Article › peer-review
Open Access5 Citations (Scopus) -
Automatic determination of part build orientation for laser powder bed fusion
Qin, Y., Qi, Q., Shi, P., Scott, P. & Jiang, J., 15 Oct 2020, In: Virtual and Physical Prototyping.Research output: Contribution to journal › Article › peer-review
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Automatic generation of alternative build orientations for laser powder bed fusion based on facet clustering
Qin, Y., Qi, Q., Shi, P., Scott, P. & Jiang, J., 2 Jul 2020, In: Virtual and Physical Prototyping. 15, 3, p. 307-324 18 p.Research output: Contribution to journal › Article › peer-review
Open Access3 Citations (Scopus) -
Characterisation of diamond abrasive grains of grinding tools using industrial X-ray computed tomography
Pagani, L., Qi, Q., Lu, J., Huang, H., Huang, G., Cui, C., Xu, X. & Jiang, X., 15 Nov 2020, In: International Journal of Advanced Manufacturing Technology. 16 p.Research output: Contribution to journal › Article › peer-review
Open Access
Activities
- 1 Oral presentation
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Matching Algorithm for Tolerance Specification and Measurement
Qunfen Qi (Speaker), Paul Scott (Speaker) & Xiangqian Jiang (Speaker)
27 Jun 2017Activity: Talk or presentation types › Oral presentation
Press / Media
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Manufacturers benefit in discovery of math foundation for decomposition in £1.5 million project
Paul Scott, Qunfen Qi & Luca Pagani
19/02/19 → 20/02/19
2 items of Media coverage
Press/Media: Expert Comment
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University of Huddersfield Proposes Universal Language for Additive Manufacturing
27/07/18 → 1/08/18
2 items of Media coverage
Press/Media: Expert Comment