Neural-network-based modeling and optimization of the electro-discharge machining process

• Published in: International journal of advanced manufacturing technology Vol. 39; no. 5-6; pp. 488 - 500
• Main Authors: Assarzadeh, S., Ghoreishi, M.
• Format: Journal Article
• Language: English
• Published: London Springer-Verlag 01.11.2008; Springer Nature B.V
• Subjects: Algorithms; Back propagation networks; CAE) and Design; Computer-Aided Engineering (CAD; Die sinking; Discharge; EDM electrodes; Engineering; Industrial and Production Engineering; Lagrange multiplier; Material removal rate (machining); Mathematical models; Mechanical Engineering; Media Management; Neural networks; Optimization; Original Article; Parallel processing; Planing; Process parameters; Surface roughness; Artificial neural network (ANN); Process modeling; Electro-discharge machining (EDM); Back-propagation (BP) algorithm; Augmented Lagrange multiplier (ALM) algorithm

In this research, a new integrated neural-network-based approach is presented for the prediction and optimal selection of process parameters in die sinking electro-discharge machining (EDM) with a flat electrode (planing mode). A 3–6–4–2-size back-propagation neural network is developed to establish...