Simulation and optimization of electrical discharge machining process using matlab
Electrical discharge machining (EDM) is a nonconventional milling in which holes or shape can be created without any contact between electrode and work piece during the material removal process. Throughout the machining process a series of stochastic sparks are produced when the gap between electrod...
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2014
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my-utm-ep.488142020-06-24T03:18:44Z Simulation and optimization of electrical discharge machining process using matlab 2014-06 Karimpour, Elnaz TK Electrical engineering. Electronics Nuclear engineering Electrical discharge machining (EDM) is a nonconventional milling in which holes or shape can be created without any contact between electrode and work piece during the material removal process. Throughout the machining process a series of stochastic sparks are produced when the gap between electrode and work piece is very narrow just about 10 to 50 microns. Controlling this gap in micro dimension not only depends on electrode position but also on work piece surface. So a combination of PID controller and EDM process is used to monitor the gap. In this study an indirect measurement of surface position is carried out by implementing voltage average gap model. And Simulink models have been done to simulate the dynamic behavior of EDM system. Finally Particle Swarm Optimization technique is applied to find optimal performance parameters to have maximum Material Removal Rate. 2014-06 Thesis http://eprints.utm.my/id/eprint/48814/ http://eprints.utm.my/id/eprint/48814/25/ElnazKarimpourMFKE2014.pdf application/pdf en public http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:89335 masters Universiti Teknologi Malaysia, Faculty of Electrical Engineering Faculty of Electrical Engineering |
| institution |
Universiti Teknologi Malaysia |
| collection |
UTM Institutional Repository |
| language |
English |
| topic |
TK Electrical engineering Electronics Nuclear engineering |
| spellingShingle |
TK Electrical engineering Electronics Nuclear engineering Karimpour, Elnaz Simulation and optimization of electrical discharge machining process using matlab |
| description |
Electrical discharge machining (EDM) is a nonconventional milling in which holes or shape can be created without any contact between electrode and work piece during the material removal process. Throughout the machining process a series of stochastic sparks are produced when the gap between electrode and work piece is very narrow just about 10 to 50 microns. Controlling this gap in micro dimension not only depends on electrode position but also on work piece surface. So a combination of PID controller and EDM process is used to monitor the gap. In this study an indirect measurement of surface position is carried out by implementing voltage average gap model. And Simulink models have been done to simulate the dynamic behavior of EDM system. Finally Particle Swarm Optimization technique is applied to find optimal performance parameters to have maximum Material Removal Rate. |
| format |
Thesis |
| qualification_level |
Master's degree |
| author |
Karimpour, Elnaz |
| author_facet |
Karimpour, Elnaz |
| author_sort |
Karimpour, Elnaz |
| title |
Simulation and optimization of electrical discharge machining process using matlab |
| title_short |
Simulation and optimization of electrical discharge machining process using matlab |
| title_full |
Simulation and optimization of electrical discharge machining process using matlab |
| title_fullStr |
Simulation and optimization of electrical discharge machining process using matlab |
| title_full_unstemmed |
Simulation and optimization of electrical discharge machining process using matlab |
| title_sort |
simulation and optimization of electrical discharge machining process using matlab |
| granting_institution |
Universiti Teknologi Malaysia, Faculty of Electrical Engineering |
| granting_department |
Faculty of Electrical Engineering |
| publishDate |
2014 |
| url |
http://eprints.utm.my/id/eprint/48814/25/ElnazKarimpourMFKE2014.pdf |
| _version_ |
1747817478163005440 |