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Toplam kayıt 2, listelenen: 1-2
An Artificial Neural Network Approach for the Prediction of Water-Based Drilling Fluid Rheological Behaviour
(2018)
It is well known that high temperatures, which change the rheological properties of the drillingfluid and can frequently cause problems in deep wells, is a major problem during drilling. Theimportance of the estimation and ...
Thermal Modeling and Performance Analysis for a Chevron Type Heat Exchanger by Using Artificial Neural Network with Limited Experimental Data
(Avrupa Bilim ve Teknoloji Dergisi, 2020)
The problem of heat exchange between two or more fluids at different temperatures is one of the most important and most common problems of engineering applications. In order to solve this problem efficiently, the transfer ...