Manufacturing simulation is an encouraging field in every manufacturing industry. The manufacturing simulation facilitate to virtually analysis the performance of the product before manufacturing. So for most of the manufacturing activities are simulated effective and researchers have developed adequate tool for the simulation of various activities of manufacturing. Heat exchanger is one of the important devices used for the purposes including medical, food processing, air conditioning system, etc. Performance of these heat exchangers also important for achieving better performance in those fields. So simulation of heat exchanger gives more beneficial to the engineers to analysis its performance before manufacturing. Hence in this paper, a machine learning approach for the modelling and simulation of heat exchanger is proposed. The proposed technique uses support vector machine technique for the prediction of performance of the heat exchanger. The performance of the proposed technique is validated in terms of prediction accuracy. Ultimately the analysis proves that the proposed technique is more beneficial for the modelling of heat exchanger.
Refrigeration systems have been widely used to maintain reduced temperature for specific applications. The work deals with modifying the existing design by installing fins in evaporator which acts as the key factor in refrigeration system. A study has been carried out with HC and R134a refrigerants which are commonly used in typical refrigeration system. Comparison studies has been made on the cooling capacity of the two refrigerants in hourly basis, so as to check the compatibility of the alternative refrigerant in working conditions with reduced global warming effect and power consumption. This can be achieved by increasing the heat transfer rate.
In this research aimed to estimate the Overall heat transfer coefficient of
counter flow Shell and Tube heat exchanger. Heat transfer is the phenomenon
to analysis of heat transfer from one medium of fluid to another medium of
fluid, it is considered as a major role in industrial applications. Numerous
heat exchangers are available, in this research considered as shell and tube
heat exchanger. Overall Heat Transfer Coefficient (OHTC) informed that three
major factors are influenced as passing of fluid (film) media coefficient
inside the tubes, circulating of fluid (film) media coefficient over in the
shell and the resistance of wall made on metal. In this study Taguchi L9
Orthogonal array is executed to found the overall heat transfer coefficient
with effective process parameters. Three major parameters are considered for
this work are coil diameter (25 mm, 30 mm and 35 mm), Baffle thickness (15
mm, 20 mm and 25 mm) and Baffle gap (200 mm, 300 mm and 400 mm. Baffle
plate thickness is highly significant factor for this experiment.
In this experimental study mainly focused the thermal property such as thermal resistance and heat transfer analysis for the air gap variations provided in between two glasses on window for the domestic purposes. Easily available surrounding air considered as the experimental mater because of its arrangements. Thermal resistance of inside, outside and glasses (both glasses have same thermal conductivity such as 0.78 W/mK) all are maintained as constant throughout the investigation. But only air gap distance increased from 2 mm to 14 mm with gradual increase focused. The thermal conductivity of air considered as 0.026 W/mK. Thermal resistance and heat transfer impact with respect to the air gap between glasses were identify with the help of graphical representations.
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