Optimization of Convective Heat Transfer Model of Cold Storage with Cylindrical Pin Finned Evaporator Using Taguchi Analysis
Journal Title: International Journal of engineering Research and Applications - Year 2017, Vol 7, Issue 1
Abstract
This work contains of design of experiments to optimize the various control factors of a cold storage evaporator space inside the cold room, in other words the heat absorption by evaporator will be maximize to minimize the use of electrical energy to run the system. Here we have use cylindrical pin fin to maximize the heat absorption by evaporator. Taguchi orthogonal array have been used as a design of experiments. Three control factors with three levels of each have been chosen for analysis. In the evaporator space the heat absorbs by the evaporator and fins totally a convective heat transfer process. The control factors are Area of the evaporator with cylindrical pin fin(A), temperature difference of the evaporator space (dT), and relative humidity inside the cold room(RH). Different amount of heat gains in the cold room for different set of test runs have been taken as the output parameter. The objective of this work is to find out the optimum setting of the control factors or design parameters so as the heat absorb in the cold room by the evaporator will be maximum. The Taguchi regression analysis have been used as an optimization technique.
Authors and Affiliations
Dr. N. Mukhopadhyay, Tapan Mondal
Keywords
Related Articles
- EP ID EP389930
- DOI 10.9790/9622-0701056471.
- Views 465
- Downloads 0
Structural and Morphological Properties of La3+ Doped Ni-Zn Nanoferrite
The Study of Structural and Morphological properties of rare earth La3+ material doped in Nickel-Zinc nanocrystalline ferrites were synthesized by sol-gel auto combustion method with analytical grade metal nitrate. The p...
A Bivariate Exponential distribution model for growth hormone response to repeated maximal cycle ergometer exercise at different pedaling rates.
In this paper, we introduce the bivariate exponential distribution model approach to probability modeling. Our results leads to exponential model characterization of many well known life time model to the development of...
Effective Lung Cancer Cell Detection using Deep Convolutional Neural Networks
With oncologists relying increasingly on low-dose CT scans to detect lung cancer, our study proposes a machine learning approach for early detection of Lung Cancer. While existing algorithms in the medical imaging domain...
Performance Evaluation of High Speed Coherent Optical OFDM System Using Wiener-Hammerstein Equalizer
This paper addresses OFDM (orthogonal frequency division multiplexing) transmission over optical links with high spectral efficiency, i.e. by using high-order QAM-modulation schemes as a mapping method prior to the OFDM...
A Weighted Duality based Formulation of MIMO Systems
This work is based on the modeling and analysis of multiple-input multiple-output (MIMO) system in downlink communication system. We take into account a recent work on the ratio of quadratic forms to formulate the weight...