Cranfield University’s MSc group design project is an applied, multidisciplinary team-based activity, where our students apply their learning from the taught modules’ phase of their MSc courses to technical challenges set by our staff with guidance from the Automotive Industrial Advisory Board (IAB). The aim of the GDP is to immerse the students in intense group working exercises where they develop their team working, project management and reporting skills and technical expertise in relation to the challenges. The GDPs are 5 weeks long so the students have to deliver within tight time-frames. They are also expected to use their initiative as we encourage them to lead on their projects
This year the GDP challenge for the Automotive Engineering MSc students is: Design of Variable Geometry Inlet manifold for a Nissan HR16 SI Engine.
This year the GDP challenge for the Automotive Mechatronics MSc students is: Effective Simulation of Highly Assisted and Autonomous Driving Functionality.
The student teams will present their design concepts to an invited audience that includes automotive practitioners in the Vincent Building Auditorium Cranfield University on 4 April 2019.
The event includes a networking lunch.In association with IMechE Automobile Division Eastern Centre
|09:00||Registration and coffee in the Atrium|
Automotive Mechatronics MSc student group presentations with
Q & A
|09:30||Introductions and Brief: Dr Stefano Longo and Dr Daniel Clarke|
|Automotive Engineering MSc student group presentations with Q & A|
|11:30||Introductions and Brief: Dr Tim Rose|
|11:45||AE Team 1|
|12:15||AE Team 2|
|12:45||Lunch for students, staff and guests; poster review (Vincent Atrium)|
|13:45||AE Team 3|
|14:15||AE Team 4|
|14:45||AE Team 5|
|15:15||Feedback to the two student cohorts from the Automotive Industrial Advisory Board (IAB)|
|15:45||IAB meeting (Board members including Cranfield staff) venue TBA|
Who should attendIndustry, Alumni, Sponsors, Potential Students
CostFree to attend
How to register
Please email to check for availability