Aeronautical Engineering (MEng)
Design for Additive Manufacturing IDX (Aero UG Office use)
It is vital that the next generation of engineers and designers are equipped with the knowledge and skills necessary to harness the full potential of Industry 4.0. Part of this new industrial revolution is Additive Manufacturing; an exciting and fast developing area of digital manufacturing. This module provides engineering students with the platform needed to solve future industry challenges, get the most out of 3D printing technology and optimise designs. The module is aimed at engineering students who have an interest in 3D printing and advanced manufacturing methodology; who have the desire to become industry experts or academic researchers in this exciting area.
On completion of this module, students will be better able to: Design (Masters S4): Apply appropriate design methods in order to find optimal design solution fit for type of manufacture Analysis (Reinforces K4): Apply methods of design analysis. Manufacture (Introduces K1): Explain a broad range of manufacturing parameters and technologies CAE (Masters K4): Use advanced CAE and numerical methods to optimise designs fit for type of manufacture Interpretation (Masters A2): Interpret analysis (CAE, numerical and other) into the wider context of product design development, business and manufacturing. Visualisation (Reinforces A2): Represent complex designs and transient mechanical properties through CAD and visual forms.
Additive Manufacture overview: ASTM Categories key technology data flow materials production chain Design for AM: Mass customisation personalisation data driven part consolidation lightweighting complex optimisation lattice embed function Build considerations: CAD prep support structures post processing quality control Economy: redistributed manufacture rapid tooling automation flexibility environment
This module is delivered through a series of lectures and accompanying practical tutorials. Each tutorials is assigned a homework task which is assessed as part of the module grade. In addition each homework task demonstrates an individual skill associated with DfAM. Students are then challenged to demonstrate these skills collectively in their larger coursework submissions.
Coursework - Tutorial task sheets (20%)