Optimisation of electro discharge machining parameters

• Autorzy: Mahdavinejad R. A.
• Języki publikacji: EN

Abstrakty

EN

Purpose: Electro discharge machining (EDM) is one of the most effective non-conventional machining methods. This method is the best condidate in machining of ceramics and carbide materials. Design/methodology/approach: The complexity and non-linear nature of EDM from one side, and occurrence of instability phenomenon due to the different input setting up parameters especially in machining of carbon-based materials such as non-oxide ceramics, on the other side, make the modeling of EDM process impossible with conventional methods. What is presented in this paper is the optimization and control of EDM process using the neural model predictive control method. Findings: The results of implementation of control system on a sinking ED machine and an EDM system that has been set with an expert user, has been compared. Research limitations/implications: To achieve instantaneous data from machining condition, the new method of fuzzy analysis of single machining pulses and computing the magnitude of system condition in the form of a real number between 0 and 1, has been used. Originality/value: The testing results from ED machining of WC-Co confirms the capability of the system of predictive controller model based on neural network with 32.8% efficiency increasing in stock removal rate.

Słowa kluczowe

EN

numerical techniques; optimization; fuzzy logic; EDM; model predictive control

PL

techniki numeryczne; optymalizacja; logika rozmyta; EDM; sterowanie predykcyjne

• Wydawca: International OCSCO World Press
• Czasopismo: Journal of Achievements in Materials and Manufacturing Engineering
• Rocznik: 2008
• Tom: Vol. 27, nr 2
• Strony: 163--166
• Opis fizyczny: Bibliogr. 15 poz., wykr.

Twórcy

autor

Mahdavinejad R. A.

• School of Mechanical Engineering, Faculty of Engineering, University of Tehran, Tehran, Iran,

Bibliografia

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