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Dr Qunfen Qi is a 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. A mechanical engineering, measurement technologies and information technologies background provide her a wide range of knowledge and skills in mechanical design, applied mathematics (category theory), computer and information techniques, surface metrology and systematic knowledge on ISO geometrical product specifications and verification (GPS) system.
Qunfen’s research focuses on applying mathematics theory and information technologies for advanced manufacturing to improve manufacturing intelligence, by supporting knowledge representation, interrogation and reasoning for smart design, manufacturing and measurement of advanced products. Qunfen is currently working on a Fellowship in Manufacturing Project, funded by the EPSRC. Her current work focus on designing a new knowledge representation language that is based on category theory for representing ontologies and relationship networks between ontologies, named category ontology language (COL), and developing a set of reasoning rules and basic to facilitate knowledge reasoning. During the project, she has also worked on developing a novel geometrical product specification and verification (GPS) systems to control geometrical variability in manufactured products that facilitate emerging industrial requirements in the 21st century.
During her PhD project Qunfen designed and developed an infrastructure that integrating with CAD system of all entities involved in the manufacturing supply chain, including SMEs, institutes and end-users to support surface texture design, manufacture and surface metrology. Main contributions are to create novel knowledge model to structure the complicated and numerous surface texture knowledge based on Geometrical Product Specifications (GPS); to establish a new prototype system to facilitate designers, engineers and metrologists by a multi-tasks platform for surface texture design, manufacture and measurement; and to propose a new integration method for bridging the gap between prototype system and CAx systems. These resulted in a categorical model for profile and areal surface texture, which has rigid mathematic base, rapid computing ability, robustness, efficiency and without redundancy; and a XML based integration method for integrating the prototype system with CAD systems. The established knowledge model and prototype system have been presented to peer academics and UK industries including Rolls Royce Manufacture Group. Qunfen also shows her knowledge in the other related fields such as functionality of surface texture in tribology, uncertainty theory, tolerance design and metrology.
Qunfen is an active member of Women in Science and Engineering (WISE), and she was invited to give several talks (UK, China) representing woman scientists to speak about her research vision and share her experience. She is a fellow of the Higher Education Academy (FHEA). She also contributes to teaching in mathematics, mechanical Science and Enggineering and dynamic systems; assists with supervision of PhDs, Master students; and supervision of final year undergraduate students. She has peer reviewed for leading journals in advanced manufacturing such as Journal of Advanced Manufacturing Technologies, Wear, Precision Engineering Computer-Aided Design, and Measurement.
Pagani, L., Qi, Q., Jiang, X. and Scott, P. (2017) ‘Towards a new definition of areal surface texture parameters on freeform surface’ Measurement , 109, pp. 281-291. ISSN 0263-2241
Qin, Y., Lu, W., Qi, Q., Liu, X., Zhong, Y., Scott, P. and Jiang, X. (2016) ‘Status, comparison, and issues of CAD model data exchange methods based on standardized neutral files and OWL file’ Journal of Computing and Information Science in Engineering , 17 (1). ISSN 1530-9827
Qin, Y., Lu, W., Qi, Q., Li, T., Huang, M., Scott, P. and Jiang, X. (2016) ‘Explicitly representing the semantics of composite positional tolerance for patterns of holes’ International Journal of Advanced Manufacturing Technology . ISSN 0268-3768
Lu, W., Qin, Y., Qi, Q., Zeng, W., Zhong, Y., Liu, X. and Jiang, X. (2016) ‘Selecting a semantic similarity measure for concepts in two different CAD model data ontologies’ Advanced Engineering Informatics , 30 (3), pp. 449-466. ISSN 1474-0346
Qi, Q., Scott, P., Jiang, X. and Lu, W. (2016) ‘A hierarchical category model for geometrical product specifications (GPS)’ Procedia CIRP , 43, pp. 214-219. ISSN 2212-8271
Qi, Q., Li, T., Scott, P. and Jiang, X. (2015) ‘A correlational study of areal surface texture parameters on some typical machined surfaces’ Procedia CIRP , 27, pp. 149-154. ISSN 2212-8271
Qin, Y., Lu, W., Qi, Q., Liu, X., Zhou, L. and Li, T. (2015) ‘Ontology-based semantic interpretation of cylindricity specification in the next-generation GPS’ Procedia CIRP , 27, pp. 124-130. ISSN 2212-8271
Qi, Q., Scott, P., Jiang, X. and Lu, W. (2014) ‘Design and implementation of an integrated surface texture information system for design, manufacture and measurement’ Computer Aided Design , 57, pp. 41-53. ISSN 0010-4485
Qi, Q., Jiang, X., Scott, P. and Lu, W. (2013) ‘Surface texture specification, the more complete the better?’ Procedia CIRP , 10, pp. 233-237. ISSN 2212-8271
Qi, Q., Jiang, X. and Scott, P. (2012) ‘Knowledge modeling for specifications and verification in areal surface texture’ Precision Engineering , 36 (2), pp. 322-333. ISSN 0141-6359
Lu, W., Liu, X., Jiang, X., Qi, Q. and Scott, P. (2010) ‘Categorical data modelling for Cylindricity Consistent with Geometrical Product Specifications Standard System’ Proceedings of SPIE: Sixth International Symposium on Precision Engineering Measurements and Instrumentation , 75446S. ISSN 1996-756X
Qi, Q., Jiang, X., Liu, X. and Scott, P. (2010) ‘An unambiguous expression method of the surface texture’ Measurement , 43 (10), pp. 1398-1403. ISSN 0263-2241
Lu, W., Jiang, X., Qi, Q. and Scott, P. (2010) ‘Modeling the integration between specifications and verification for cylindricity based on category theory’ Measurement Science and Technology , 21 (11). ISSN 0957-0233
Ding, H., Qi, Q., Scott, P. and Jiang, X. (2015) ‘An ANOVA method of evaluating the specification uncertainty in roughness measurement’. In: Laser Metrology and Machine Performance XI, LAMDAMAP 2015. Huddersfield, UK: EUSPEN. . ISBN 978-0-9566790-5-5
Qi, Q., Jiang, X. and Scott, P. (2013) ‘A Knowledge Platform for Surface Texture in Advanced Manufacturing’. In: Manufacturing the Future Conference. Cranfield, UK: EPSRC. p. 60. ISBN 978-1-907413-22-3
Qi, Q., Jiang, X., Scott, P. and Lu, W. (2012) ‘Model for a CAD-assisted designing process with focus on the definition of the surface texture specifications and quality’. In: Proceedings of the 37th International MATADOR Conference. Manchester, UK: Springer. pp. 273-276. ISBN 978-1-4471-4479-3
Qi, Q., Blunt, L., Scott, P. and Jiang, X. (2010) ‘Modeling of the concepts in ISO standards for profile surface texture’. In: Future Technologies in Computing and Engineering: Proceedings of Computing and Engineering Annual Researchers' Conference 2010: CEARC10. Huddersfield: University of Huddersfield. pp. 172-176. ISBN 9781862180932
Qi, Q., Scott, P., Jiang, X., Lu, W. and Ding, H. (2013) ‘The Discussion of Uncertainties in Surface Texture during Design, Manufacture and Measurement’. In: The 11th International Symposium of Measurement Technology and Intelligent Instruments, 1st-5th July 2013, RWTH, Aachen, Germany
Qi, Q (2013) Bridging the knowledge gap between design, manufacture and measurement in the field of surface texture Doctoral thesis, University of Huddersfield.