Manufacturability analysis systems (MASs) have been developed to enable the evaluation of manufacturability aspects during the design stage. MASs have been shown to be useful for macro-manufacturing processes but less attention or effort has been put for their development in the scope of micro-manufacturing. This thesis describes the development of a MAS for a micro-machining domain (MicroMAS) with a custom-made 4-axis Miniature Machine Tool (MMT) being the scope of implementation. There are three important components in this study which are; MAS, Uncertainty Evaluation Model (UEM) and micro-milling experiments. The integration between the results from the UEM analysis and micro-machining experiments were being incorporated into the MicroMAS to provide the system with the real condition of the MMT. In MicroMAS, Primitive Feature Analysis (PFA) is introduced as a new technique in gathering information from a CAD model and analysing its manufacturability. The results from the manufacturability assessment in MicroMAS are successfully achieved through the manufacturability index which indicates the relative ease of machining the CAD model and list of related suggestions. UEM is developed to analyse the influence of the errors stemmed from the MMT construction on the geometrical accuracy of the machined micro-parts. The model has allowed a methodology for the errors in a custom-made machine tool to be predicted and to further understand the origin of the errors on the machined micro-part (either from the machine or the process itself). The abilities of the MMT are evaluated through various types of experiments where the surface quality and geometrical accuracy can be concluded to be at an acceptable range. From the experience gained from the research, the development of MicroMAS for micro-milling has been found to be practical in assisting a user to generate micro-parts using the MMT.
| Identifer | oai:union.ndltd.org:bl.uk/oai:ethos.bl.uk:528790 |
| Date | January 2010 |
| Creators | Abdul Shukor, Syaimak |
| Publisher | University of Nottingham |
| Source Sets | Ethos UK |
| Detected Language | English |
| Type | Electronic Thesis or Dissertation |
| Source | http://eprints.nottingham.ac.uk/11835/ |
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