contributor author | Z. Katz | |
contributor author | J. Naude | |
date accessioned | 2017-05-09T00:00:11Z | |
date available | 2017-05-09T00:00:11Z | |
date copyright | November, 1999 | |
date issued | 1999 | |
identifier issn | 1087-1357 | |
identifier other | JMSEFK-27351#733_1.pdf | |
identifier uri | http://yetl.yabesh.ir/yetl/handle/yetl/122447 | |
description abstract | 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 process results. The objective of this work is to suggest a neural network based system to facilitate and optimize the design process of products to be machined by EDM. A comprehensive analysis by a neural network and expert system is presented. Aspects of features coding and relations with the process parameters are discussed. Experimental results confirm design improvements and a practical system is described. | |
publisher | The American Society of Mechanical Engineers (ASME) | |
title | A Neural Network/Expert System Approach for Design Improvement of Products Manufactured by EDM | |
type | Journal Paper | |
journal volume | 121 | |
journal issue | 4 | |
journal title | Journal of Manufacturing Science and Engineering | |
identifier doi | 10.1115/1.2833127 | |
journal fristpage | 733 | |
journal lastpage | 738 | |
identifier eissn | 1528-8935 | |
keywords | Design | |
keywords | Expert systems | |
keywords | Artificial neural networks AND Electrical discharge machining | |
tree | Journal of Manufacturing Science and Engineering:;1999:;volume( 121 ):;issue: 004 | |
contenttype | Fulltext | |