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The University of Southampton
Engineering

Dr Christopher W.G. Phillips MEng, PhD

Visiting Researcher

Dr Christopher W.G. Phillips's photo

Chris graduated with a Masters in Mechanical Engineering (2009) and a PhD (2013) from the University of Southampton. Since then he has been awarded an EPSRC Doctoral Prize and continues to work as a Visiting Researcher.

During his undergraduate degree he developed an interest in bioengineering; modelling fracture fixation plates for his individual project and developing an anatomical CAD model of a spine during an internship. His final-year project by contrast involved modelling and analysing the stability characteristics of a recumbent bicycle, which was being designed to break the land speed record.

Aspiring to combine his interests in both biomechanical and performance sports engineering, he embarked on a PhD in the Performance Sports Engineering Laboratory (PSEL) under the supervision of Professor Stephen Turnock, Dr Alexander Forrester and Dr Dominic Hudson.

In 2013 he successfully defended his PhD thesis entitled Analysis of Human Underwater Undulatory Swimming Using Musculoskeletal Modelling. This work included developing experimental image and data acquisition systems, computational musculoskeletal modelling of underwater swimming, and parametric optimisation using surrogate modelling. This culminated in a process that provides the ability to perform quantitative evaluation and comparison of different swimming techniques.

  

Part-funded by UK Sport, this research additionally lead to providing engineering support and analysis, as part of a team from the PSEL, to British Olympians in the build-up to the London 2012 Olympic Games. The contribution of projects such as these, over several decades, saw the PSEL recognised for its contribution to performance sport with the awarding of the Queen’s Anniversary Prize in 2011.

Following graduation Chris was awarded an EPSRC Doctoral Prize that has enabled him to build on his previous research of musculoskeletal modelling in addition to continuing to provide support to British Olympians. This new project involves developing a detailed computational model of the hand as part of a cross-disciplinary project involving academics in the Faculty of Health Sciences and clinicians at the University Hospital. The purpose of the project being to better understand the functional anatomy predominantly of the finger joint and to identify failure mechanisms associated with replacement of these joints.

 

  • Cross-disciplinary project to model the PIP joint in the finger
  • Develop parametric musculoskeletal model to investigate the functional anatomy of the PIP joint
  • Collecting anatomical geometry from MR & CT scans and kinematic data to populate model
Musculoskeletal hand model
Musculoskeletal hand model
  • Musculoskeletal modelling of swimming
  • Estimation of efficiency and energy cost of human dolphin kick
  • Body sensor network to drive motion in musculoskeletal model
Simulating human swimming
Simulating human swimming
  • Hardware and software development for image and data acquisition, data processing and feed-back of information to athletes
  • Design of adjustable humanoid mannequin for tow tank testing
Assisting British Swimming
Assisting British Swimming
  • FEA of knee fracture fixation plates
  • Generating CAD model of spine

 

 

Anatomical bone models
Anatomical bone models
  • Stability analysis of recumbent bicycle
  • Topology optimisation of bicycle chainring
  • Chainring optimisation to target select muscles

 

 

 

Chainring optimisation
Chainring optimisation

Research group

Fluid Structure Interactions

Research project(s)

Swimming Data Capture

Optimized athlete body sensor networks for simulation-based performance analysis

We have developed a system of wearable sensors that gather information about the movement of athletes so that we can then simulate what their muscles are doing, their aerodynamic drag, etc. This will allow us to optimize the athlete's technique in much the same way as an aircraft's shape is optimized.

Dr Christopher W.G. Phillips
Engineering, University of Southampton, Southampton Boldrewood Innovation Campus, Burgess Road, Southampton, SO16 7QF

Room Number: 176/3009

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