استفاده از شبكه هاي عصبي جهت انتخاب مواد در محيطهاي خوردگي ترش

Material Selection in Sour Corrosive Systems by Use of Artificial Neural Networks

Artificial neural networks which are designed from biological system of humanʹs brain , have the capability of training and then recalling new cases.This research attempts to obtain a proper material selection in sour corrosive systems by use of an artificial neural network . So excat primary datas such as operation temperature, metallurgical characteristics of intended material, partial pressure of CO2 and 1125 gases, chlorine ion concentration and also the proper alloy for operation in the intended condition have been given to the network . Then the network is expected to have correct material selection in unlike situations.