Convective Heat Transfer Model through Annular Finned Evaporator of a Cold Storage Using Taguchi Regression, S/N Ratio and ANOVA Analysis

Abstract

To overcome the energy crisis and increase of cost of electrical energy to operate the cold storage various design of experiments are done to optimize different control factors of a cold storage evaporator space inside the cold room. Here we have use annular fin to maximize the heat absorption by evaporator. Taguchi orthogonal array with regression analysis have been used as a design of experiments. The control factors are Area of the evaporator with annular fin(A), temperature difference of the evaporator space (dT), and relative humidity inside the cold room(RH). The Taguchi S/N ratio analysis have used as an optimization technique. Larger the better type S/N ratio have used for calculating the optimum level of control parameters, because it is a maximization problem. Analysis of variance ANOVA was also performed on the test results to find out the significant control factors.