Dr Jennifer Thompson

Senior Lecturer

Mechanical Engineering

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Basic Welsh Speaker

About

Jennifer Thompson completed her undergraduate degree in Engineering Science at Oxford University in 2001, where she specialised in Fluid Dynamics.

On completion of her degree, she worked in Risk Consultancy for the Oil and Gas Sector and in the development of Scientific Standards at the Home Office.

In 2011, Jennifer undertook an Engineering Doctorate at Swansea University in the application of Computational Fluid Dynamics (CFD) to Industrial Mixing Processes. Subsequently, she worked as a post-doctorate researcher within the ASTUTE team at Swansea University, continuing her research in applied CFD along with Optimisation techniques. She attained her Chartered statues with IMechE in 2017.

In June 2019, Jennifer was appointed as a Lecturer within the Mechanical Engineering portfolio in Swansea University. Her current areas of interest are split between pedagogical research into Higher Education teaching approaches and Industry 4.0; specifically the development of Digital Twins – which will build on her previous simulation-based experience.

Areas Of Expertise

Computational Fluid Dynamics
Multi-physics simulations of complex industrial processes
Gas Atomisation
Optimisation

Career Highlights

Teaching Interests

Jennifer is currently module co-ordinator for the new Industry 4.0 module taught to the undergraduate 3rd year Mechanical Engineering students. This module focuses on the driver technologies of Industry 4.0 and considers aspects around it is successful implementation into current Industry.

She also teaches Optimisation techniques for Master-Level students.

Research

Publications

Research Highlights

Thompson, J., Hassan, O., Rolland, S., & Sienz, J. (2016). The identification of an accurate simulation approach to predict the effect of operational parameters on the particle size distribution (PSD) of powders produced by an industrial close-coupled gas atomiser. Powder Technology, 291, 75-85.
https://doi.org/10.1016/j.powtec.2015.12.001, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa26429
Thompson, J., Walton, S., Hassan, O., & Sienz, J. (2018). Applying the Modified Cuckoo Search to the Customisation of an Industrial Pre-mixer. EngOpt 2018 Proceedings of the 6th International Conference on Engineering Optimization (pp. 1398-1408). Springer International Publishing
https://doi.org/10.1007/978-3-319-97773-7_120, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa50194
http://dx.doi.org/10.1007/978-3-319-97773-7_120
CILIA, L., Griffiths, C., Rees, A., & Thompson, J. (2024). Integration of an Ultrasonic Sensor within a Robotic End Effector for Application within Railway Track Flaw Detection. Applied Sciences, 14(3), 1164
https://doi.org/10.3390/app14031164, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa65593

All Research

Journal Articles

CILIA, L., Griffiths, C., Rees, A., & Thompson, J. (2024). Integration of an Ultrasonic Sensor within a Robotic End Effector for Application within Railway Track Flaw Detection. Applied Sciences, 14(3), 1164
https://doi.org/10.3390/app14031164, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa65593
Thompson, J., Hassan, O., Rolland, S., & Sienz, J. (2016). The identification of an accurate simulation approach to predict the effect of operational parameters on the particle size distribution (PSD) of powders produced by an industrial close-coupled gas atomiser. Powder Technology, 291, 75-85.
https://doi.org/10.1016/j.powtec.2015.12.001, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa26429

Book Chapters

Thompson, J., Walton, S., Hassan, O., & Sienz, J. (2018). Applying the Modified Cuckoo Search to the Customisation of an Industrial Pre-mixer. EngOpt 2018 Proceedings of the 6th International Conference on Engineering Optimization (pp. 1398-1408). Springer International Publishing
https://doi.org/10.1007/978-3-319-97773-7_120, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa50194
http://dx.doi.org/10.1007/978-3-319-97773-7_120

Supervision

Fit Achieved through Contour Engineering to Improve Tolerance (FACE-IT) (current)

PhD

Other supervisor: Dr Will Newton
Development of a Coupled CFD-FEA Model for Whole Building Fire Performance Determination (current)

PhD

Other supervisor: Dr Sean Walton
Development of novel medium to high entropy brazing alloys for aero-engine applications. (current)

EngD

Other supervisor: Prof Nicholas Lavery
Investigation into the effects of wind speed, wind direction, and sensor orientation as a potential influencer of amperometric sensor field performance at part-per-billion range. (current)

EngD

Other supervisor: Dr Christian Griffiths

Taught Modules

EG-3066 Industry 4.0

This module introduces fundamental concepts and enabling digital technologies of Industry 4.0. Through practical case studies and exposure to latest research, students will be able to understand how digital technologies such as Big Data, Machine Learning, Augmented Reality, Robotics, Simulation and Additive Manufacturing can be utilised in an industrial context to improve product design, manufacturing processes and supply chain management. The course will equip the participant with the relevant skills to become capable of deploying and evaluating digital technologies in industrial production systems to achieve more flexible, customised and efficient operations in different industrial sectors.
EGA130 Thermofluids

This Thermofluids module will encompass theory of both Thermodynamics and Fluid Mechanics. Thermodynamics is about how heat and work relate to the energy content of a system; and Fluid Mechanics is the study of energy and forces in a fluid.
EGA214 Mechanical Engineering Design 2

Within this module students will be expected to complete a series of exercises that will the form the basis of a 'major' design. The scope of the module will involve the students to work in groups where they will consider, as a team, conceptual designs, embodiment using innovative approaches to design processes and standards etc., leading to final design documentations and manufacturing techniques.

Dr Jennifer Thompson

Email address

Welsh language proficiency

About

Areas Of Expertise

Career Highlights

Publications

Research Highlights

All Research

Journal Articles

Book Chapters

Supervision

Fit Achieved through Contour Engineering to Improve Tolerance (FACE-IT) (current)

Development of a Coupled CFD-FEA Model for Whole Building Fire Performance Determination (current)

Development of novel medium to high entropy brazing alloys for aero-engine applications. (current)

Investigation into the effects of wind speed, wind direction, and sensor orientation as a potential influencer of amperometric sensor field performance at part-per-billion range. (current)

Taught Modules

EG-3066 Industry 4.0

EGA130 Thermofluids

EGA214 Mechanical Engineering Design 2