Mechanics, Materials and Design (MMD)
Source: https://www.brookes.ac.uk/research/units/tde/groups/mmd Parent: https://www.brookes.ac.uk/engage-and-innovate/consultancy
Group Leader(s): Dr Neil Fellows
Contact:
Select a section
Showing all research info
About us
Research impact
Leadership
Membership
slide 1 to 4 of 4
About us Research impact Leadership Membership
About us
This group combines research expertise in mechanics, materials and design.
- Mechanics - the group has expertise in structure-borne sound source characterisation, vibration and sound transmission and dynamic system parameter estimation.
- Materials - the group works on the development of material manufacturing processes and investigates strain rate sensitivity, temperature dependency, residual stresses, strength, wear and fatigue life of materials and structures.
- Design - the group has developed products to meet customer specifications in a wide range of fields, from bicycles to satellites. A key area is design for reliability.
Part of
Related courses
- Automotive Engineering with Electric Vehicles (MSc)
- Engineering (MPhil / PhD / Masters by Research / PhD by Published Work / EngD Professional Doctorate)
- Automotive Engineering with Electric Vehicles (BEng (Hons) / MEng)
- Electric Motorsport (MSc)
- Racing Engine Systems (MSc)
- Mechanical Engineering (MSc)
- Motorsport Engineering (MSc)
- Mechanical Engineering (BEng (Hons) / MEng)
- Motorsport Engineering (BEng (Hons) / MEng)
Research impact
The MMD group has been involved in many funded research projects:
- Developing new aluminium alloys for application in high temperature applications
- Reducing noise within electric motors
- Improving damping and fatigue life of automotive headlamp units
- Improving the manufacturing process of Metal Matrix Composites
- Determining the life of AGR nuclear reactor graphite bricks
- Development of a bamboo bicycle frame that capitalises on the unique damping properties of bamboo
- Development of light weight bicycle saddles
- Knee-rig joint simulators with emphasis on bearing insert wear
Fundamental research is carried out in:
- Optimising systems/processes using algebraic inequalities
- Modelling repairable flow networks and stochastic networks.
- Reducing risk by using domain-independent methods
- Fatigue life prediction using artificial neural networks
- Explicit modeling and high strain material characterisation
The group carries out consultancy and test work for a variety of local and national companies. This has focused on material characterisation at room, low and elevated temperatures, as well as fatigue life prediction and component testing.
Leadership
Dr Neil Fellows
Associate Professor
Membership
Staff members
- Staff
slide 1 of 1
Staff
| Name | Role | |
|---|---|---|
| Dr Harpreet Dhillon | Senior Lecturer | h.dhillon@brookes.ac.uk |
| Professor John Durodola | Professor in Mechanical Engineering and Mathematical Sciences | jdurodola@brookes.ac.uk |
| Dr Neil Fellows | Associate Professor | neil.fellows@brookes.ac.uk |
| Dr Shpend Gerguri | Associate Professor | sgerguri@brookes.ac.uk |
| Dr Stephen Samuel | Associate Professor | s.samuel@brookes.ac.uk |
| Dr Anand Thite | Senior Lecturer in Mechanical Engineering | athite@brookes.ac.uk |
| Professor Michael Todinov | Professor in Mechanical Engineering | mtodinov@brookes.ac.uk |
Related research networks
Sustainable and Resilient Futures Network
Artificial Intelligence and Data Analytics Network