Plain waterjet machining is an useful manufacturing technology, that is environmentally friendly and versatile. Despite the benefits, a limitation of the process is that there is not a well-established physical process model for plain waterjet machining. Current models are only valid for a narrow range of operating parameters and for specific materials. As a result the setup and optimisation of new plain waterjet applications is based on costly and time consuming experimental process optimisation. To address this need this thesis presents the development of a robust physical model for plain waterjet machining. To develop a consistent mathematical model, a study of the effect of the critical process parameters on machined surfaces was undertaken. This formed the basis for key relationships to be established at first for AI- 7475, which was then extended to a broad range of material including: Ti6AIV4, AI-6082, Inconel 718, stainless steel 304 and commercial copper. The model achieved a determination coefficient above 0.95 between the range of 0.05mm and 1.5 mm of depth. Finally the model was extended to allow the footprint left by the jet to be predicted, enabling the model to be applied to a broad range of applications such as: cutting, milling, peening, roughening surfaces and removing coatings; preliminary work on the area of prediction of average surface roughness was undertaken, providing a path for future research work in this subject.
| Identifer | oai:union.ndltd.org:bl.uk/oai:ethos.bl.uk:664321 |
| Date | January 2014 |
| Creators | Loo Zazueta, Luis Fernando |
| Publisher | University of Nottingham |
| Source Sets | Ethos UK |
| Detected Language | English |
| Type | Electronic Thesis or Dissertation |
Page generated in 0.0017 seconds