OPTIMIZATION OF PROCESS PARAMETERS OF SOLAR TUNNEL DRYER FOR DRYING RED CHILLI USING TAGUCHI METHOD AND GREY RELATIONAL ANALYSIS

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Published: 2016-05-18

Page: 19-27


Y. M. JIBHAKATE *

Department of Mechanical Engineering, Kavikulguru Institute of Technology and Science, Ramtek, India

A. C. WAGHMARE

Department of Mechanical Engineering, Umrer College of Engineering, Umrer, India

S. K. CHOUDHARY

Department of Mechanical Engineering, KDK College of Engineering, Nagpur, India

*Author to whom correspondence should be addressed.


Abstract

The purpose of this study is to determine the optimum level of the process parameters of the solar tunnel dryer (STD) for drying red chilli using the Taguchi experimental design method. In the study, the effects on quality characteristics, i.e. the efficiency of the solar tunnel dryer and quality of dried chilli products is investigated using different solar tunnel dryer process parameters and their levels. These parameters include the absorber material, semitransparent cover thickness, air velocity over drying bed, and drying bed thickness. The experiments are conducted according to Taguchi L9 orthogonal array (34). The optimum parameter combination is obtained using the analysis of signal to noise ratio and the levels of process parameters influencing the quality characteristics are determined by using analysis of variance (ANOVA). The optimal combination of processing parameter levels is determined by grey relational analysis. As per the response graph for grey relational grade, air flow velocity over drying bed is the most significant factor that affects the efficiency of solar tunnel dryer and quality of dried chilli. The overall quality can be effectively controlled by controlling the only parameter.

Keywords: Taguchi method, solar tunnel dryer, red chilli, grey relational analysis


How to Cite

M. JIBHAKATE, Y., A. C. WAGHMARE, and S. K. CHOUDHARY. 2016. “OPTIMIZATION OF PROCESS PARAMETERS OF SOLAR TUNNEL DRYER FOR DRYING RED CHILLI USING TAGUCHI METHOD AND GREY RELATIONAL ANALYSIS”. Journal of Basic and Applied Research International 18 (1):19-27. https://ikprress.org/index.php/JOBARI/article/view/3929.

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