Z. Katz et J. Naude, A neural network/expert system approach for design improvement of productsmanufactured by EDM, J MANUF SCI, 121(4), 1999, pp. 733-738
Citations number
10
Categorie Soggetti
Mechanical Engineering
Journal title
JOURNAL OF MANUFACTURING SCIENCE AND ENGINEERING-TRANSACTIONS OF THE ASME
The stochastic nature of the electro discharge machining (EDM) process does
not allow for a precise prediction of its effect on the machined features.
However, there is a direct interrelation between feature design and the pr
ocess results. The objective of this work: is to suggest a neural network b
ased system to facilitate and optimize the design process of products to be
machined by EDM. A comprehensive analysis by a neural network and expert s
ystem is presented. Aspects of features coding and relations with the proce
ss parameters are discussed. Experimental results confirm design improvemen
ts and a practical system is described.