| 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 | |
