International Conference on Computer and Automation Engineering, 4th (ICCAE 2012)
24 Pressure Distribution Analysis of Hydrodynamic Journal Bearing using Artificial Neural Network
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This paper investigates the variations in pressure distribution in the hydrodynamic journal bearing system for varying set of load, speed and various lubricants. First part of paper consists of experimental readings and second part consists of training neural network for practical pressure distribution readings. In experimental section practical pressure distribution developed in journal bearing system is measured on test rig. Test is performed at different set of load and using different lubricants. The recorded experimental data of pressure distributions are employed as training and testing data for an artificial neural network. The type of neural network is a feed forward...