... of Artificial Neural Networks for Turbomachinery Design ,” Comput. Assisted Methods Eng. Sci. , 16 ( 2 ), pp. 143 – 160 . https://cames.ippt.pan.pl/index.php/cames/article/view/158 [6] Moroz , L. , Govoruschenko , Y. , and Pagur , P. , 2006 , “ A Uniform Approach to Conceptual...

... as much as possible. In this work, an optimization strategy for reducing the flowrate fed to tilting pad journal bearings (TPJBs) is proposed. An artificial neural network (ANN) is trained to estimate the static and dynamic performance of the bearings. The training dataset is built with a Reynolds-based...

... performance with a substantial accuracy. This study focuses on the implementation of artificial neural network (ANN) and ensembling methods (random forest regression and extreme gradient boosting algorithm) modeling of a compression ignition (CI) diesel engine run on waste cooking oil (WCO). A single-cylinder...

..., validation, and test data sets for all three compressors. Multiple different architectures of artificial neural networks were studied, and parametric models for the representation of performance speedlines were developed. Utilizing the developed approaches, artificial neural networks were trained for all...