Projects per year
Personal profile
Research Degree Supervision
If you are interested in studying for a PhD in this research subject area click here
For more details about the research topics, expertise and interests of this academic, click on the fingerprint icon
Google Scholar h-Index
17 from 659 citations
Last updated 15th March 2023
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for the manufacturing system, especially for AM, where traditional design for manufacturing rules or guidelines are no longer applicable, and expertise in AM design, process control and inspection is in growing demand.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.
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
Research Expertise and Interests
- Knowledge representation
- Category theory for knowledge representation
- Knowledge modelling of Additive Manufacturing
- Fundamental structure of Geometrical Product Specifications and Verification
- Knowledge representation of GPS
- Surface texture design and metrology
- Geometrical tolerance design and metrology
- Computer Aided Tolerancing
- Uncertainties of GPS
Fingerprint
- 1 Similar Profiles
Network
Projects
- 1 Finished
-
Learn to rotate: Part orientation for reducing support volume via generalizable reinforcement learning
Shi, P., Qi, Q., Qin, Y., Meng, F., Lou, S., Scott, P. & Jiang, J., 27 Feb 2023, (E-pub ahead of print) In: IEEE Transactions on Industrial Informatics. p. 1-13 13 p., 10054468.Research output: Contribution to journal › Article › peer-review
Open AccessFile -
Multi-Attribute Decision-Making Methods in Additive Manufacturing: The State of the Art
Qin, Y., Qi, Q., Shi, P., Lou, S., Scott, P. & Jiang, J., 7 Feb 2023, In: Processes. 11, 2, 27 p., 497.Research output: Contribution to journal › Review article › peer-review
Open Access -
Selection of materials in metal additive manufacturing via three-way decision-making
Qin, Y., Qi, Q., Shi, P., Scott, P. & Jiang, J., 10 Mar 2023, (E-pub ahead of print) In: International Journal of Advanced Manufacturing Technology. 10 p.Research output: Contribution to journal › Article › peer-review
Open Access2 Citations (Scopus) -
A mathematical foundation to support bidirectional mappings between digital models: an application of multi-scale modelling in manufacturing
Qi, Q., Terkaj, W., Urgo, M., Jiang, J. & Scott, P., 31 Aug 2022, In: Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences. 478, 2264, 18 p., 20220156.Research output: Contribution to journal › Article › peer-review
Open Access -
A multi-criterion three-way decision-making method under linguistic interval-valued intuitionistic fuzzy environment
Qin, Y., Qi, Q., Shi, P., Scott, P. & Jiang, J., 2 Jul 2022, (E-pub ahead of print) In: Journal of Ambient Intelligence and Humanized Computing.Research output: Contribution to journal › Article › peer-review
Open Access2 Citations (Scopus)
Activities
- 1 Oral presentation
-
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
-
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
-
University of Huddersfield Proposes Universal Language for Additive Manufacturing
27/07/18 → 1/08/18
2 items of Media coverage
Press/Media: Expert Comment