| Autor: |
Ashraf Labib, J. Atkinson, H. W. Frost, V. J. Keasberry |
| Rok vydání: |
2004 |
| Předmět: |
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| Zdroj: |
Proceedings of the 34th International MATADOR Conference ISBN: 9781447111696 |
| DOI: |
10.1007/978-1-4471-0647-0_23 |
| Popis: |
Electrochemical machining (ECM) is a manufacturing process that offers a number of advantages (e.g. no mechanical stress) over its nearest competitors as certain trends in production move towards the micro scale. Maintaining optimum ECM process conditions ensures higher machining efficiency and performance. This paper presents the development of a fuzzy logic controller to add intelligence to the ECM process. An experimental ECM drilling rig, at UMIST, was improved through the integration of a fuzzy logic controller into the existing control system. Matlab (Fuzzy Logic Toolbox) was used to build a fuzzy logic controller system, which control the feed rate of the tool and the flow rate of the electrolyte. The objective of the fuzzy logic controller was to improve machining performance and accuracy by controlling the ECM process variables. The results serve to introduce innovative possibilities and provide potential for future applications of FLC in ECM. Hybrid controllers that integrate fuzzy logic into the control system allow for intelligence to be incorporated into ECM controllers. As the future of ECM moves into electrochemical micromachining (EMM), the need for process uncertainty control in this area may be met by FLC, which has advantages over conventional methods of process control. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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