scholarly journals Method of research for solar cookers performance characteristics- analysis and comparison

2021 ◽  
pp. 54-66
Author(s):  
Geetanjali Raghav ◽  
Pankaj Kumar Sharma ◽  
Suresh Kumar ◽  
Rajesh Maithani

Cooking is one of the most common activity in day-to-day life of every woman. In rural areas the transportation of fuel is major problem and the increasing demand of energy for cooking applications is gaining importance and various investigations are being carried out for performance enhancement of the solar cooker. The box-type solar cooker has a complex thermal analysis due to the transient heat transfer phenomenon involved in three dimensions. A comparison of the standard correlation available are analysed for accuracy of predicted results with experimental data. The investigation involves the experimental determination of the parameters viz. wind heat transfer coefficient, side and bottom loss coefficient, inner and outer glass temperature. The extensive data is analysed with that of standard correlations and the significance of the experimental data is checked. Analysis found to have deviation of 3%-20% in experimental and correlation data, which indicates that for accuracy of performance analysis the studied parameters should be determined experimentally.

Author(s):  
Mehrdad Shademan ◽  
Ram Balachandar ◽  
Ron Barron

An Eulerian-Eulerian two-phase flow model has been developed to simulate the boiling heat transfer phenomenon in a pipe flow. The model was implemented in the OpenFOAM source code. The code development process was divided into two sections. In the first step, an adiabatic two-phase flow model which takes into account the effect of interfacial forces was developed. In the second step, the energy equation was activated to account for non-adiabatic conditions. In order to include the boiling effect, several different subroutines which model evaporation and condensation phenomena were attached to the solver. Results of the two-phase adiabatic flow and from the boiling model are compared with available numerical and experimental data. The simulation predictions are in reasonable agreement with the experimental data and show significant improvement relative to previous numerical results, which suggests the validity of the developed model for boiling heat transfer problems.


Proceedings ◽  
2018 ◽  
Vol 2 (23) ◽  
pp. 1410 ◽  
Author(s):  
Miguel Santoyo de la Fuente ◽  
José González ◽  
Celia Miguel González ◽  
Raúl Barrio Perotti ◽  
Emmanuel Reynaud

Cavitation consists in a local mass and heat transfer phenomenon, which involves the formation and collapse of vapor cavities. For industrial applications, the interest is focused on Fluid Machinery, increasing the difficulties due to the complex geometrical arrangements and working conditions. Within such frame, the work on cavitation for centrifugal pumps has been a matter of study in the last decades. The main conclusion of the present study is to show the NPSH curves for two available geometries with different impeller diameters and, then, a comparison is done. The results open the test case to possible numerical implementation and future analysis.


Open Physics ◽  
2020 ◽  
Vol 18 (1) ◽  
pp. 968-980
Author(s):  
Xueping Du ◽  
Zhijie Chen ◽  
Qi Meng ◽  
Yang Song

Abstract A high accuracy of experimental correlations on the heat transfer and flow friction is always expected to calculate the unknown cases according to the limited experimental data from a heat exchanger experiment. However, certain errors will occur during the data processing by the traditional methods to obtain the experimental correlations for the heat transfer and friction. A dimensionless experimental correlation equation including angles is proposed to make the correlation have a wide range of applicability. Then, the artificial neural networks (ANNs) are used to predict the heat transfer and flow friction performances of a finned oval-tube heat exchanger under four different air inlet angles with limited experimental data. The comparison results of ANN prediction with experimental correlations show that the errors from the ANN prediction are smaller than those from the classical correlations. The data of the four air inlet angles fitted separately have higher precisions than those fitted together. It is demonstrated that the ANN approach is more useful than experimental correlations to predict the heat transfer and flow resistance characteristics for unknown cases of heat exchangers. The results can provide theoretical support for the application of the ANN used in the finned oval-tube heat exchanger performance prediction.


2008 ◽  
Vol 51 (13-14) ◽  
pp. 3259-3266 ◽  
Author(s):  
J.I. Lee ◽  
P. Hejzlar ◽  
P. Saha ◽  
P. Stahle ◽  
M.S. Kazimi ◽  
...  

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