Publication for Volume-3 Issue-11, October 2018
Most of the available researches established a linear relationship between the parameters that affects the evaporation and the target evaporation. Now it is proved that the parameters which affect the evaporation are nonlinear in nature. This leads the whole researches towards the nonlinear estimation of evaporation. The evaporation affecting parameters are nonlinear and follow a very irregular trend so an Artificial Neural Network (ANN) has evolved a better technique to establish the structural relationship between the various entities. This paper examines the applicability of ANN approach to model the monthly evaporation. The input combinations to model monthly evaporation were selected on the basis of data’s statistical properties which were obtained from NIH observatory. The highest correlation coefficient valves during calibration and validation were (0.831, 0.819) with lowest RMSE valves (0.376, 0.261) respectively for best evaporation model [4-5-1]. This was obtained with all 4 input parameters namely, monthly rainfall, monthly maximum temperature, monthly minimum temperature and monthly relative humidity at the same time. The comparison was made between the observed and computed values of evaporation which emphasizes the usefulness of ANN technique for monthly evaporation estimation.
Keywords : ANN, Evaporation, Calibration, Validation
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A center stand is a device on a bicycle or motorcycle that allows the bike to be kept upright without leaning against another object or the aid of a person. A center stand is usually a made of metal that comes down from the frame and makes contact with the ground. It is generally located in the middle of the bike or towards the rear. Some touring bicycles have two: one at the rear, and a second in the front. A new standing device which replaces center stand using external power which reduces human effort is being proposed. An existing center stand is modified by using electrical and mechanical components at optimum cost. The different mechanical parameters of stand are analyzed using Computational software and the best model is selected for fabrication.
Keywords : Automobile, Center stand, Computational Mechanics, FEM, Structural Analysis
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