Taguchi- Grey Relation Based Multi-Response Optimization of Diesel Engine Operating Parameters with Water-in-Diesel Emulsion Fuel

Title: Taguchi- Grey Relation Based Multi-Response Optimization of Diesel Engine Operating Parameters with Water-in-Diesel Emulsion Fuel

Authors
Authors and Affiliations

Suresh Vellaiyan, K.S. Amirthagadeswaran, Dinesh Babu Sivasamy

Corresponding email: suresh.vellaiyan@gmail.com

Published at : 27 Jan 2018
Volume : IJtech Vol 9, No 1 (2018)
DOI : https://doi.org/10.14716/ijtech.v9i1.1374

Cite this article as:

Vellaiyan, S., Amirthagadeswaran, K.S., Sivasamy, D.B., 2018. Taguchi- Grey Relation Based Multi-Response Optimization of Diesel Engine Operating Parameters with Water-in-Diesel Emulsion Fuel. International Journal of Technology. Volume 9(1), pp.68-77

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Suresh Vellaiyan	Department of Mechanical Engineering, Haramaya Institute of Technology, Haramaya University, P.O. Box 138, Dire Dawa, Ethiopia
K.S. Amirthagadeswaran	Department of Mechanical Engineering, United Institute of Technology, Coimbatore, Tamil Nadu 641020, India
Dinesh Babu Sivasamy	Department of Mechanical Engineering, University of Houston, Seattle, 4726 Calhoun Rd Houston TX 77204-4006, USA

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Abstract

Taguchi- Grey Relation Based Multi-Response Optimization of Diesel Engine Operating Parameters with Water-in-Diesel Emulsion Fuel

The use of water-in-diesel (W/D) emulsion fuel has the potential to promote better performance with lower emissions in existing diesel engines. The present study aims to analyzes the influence of operating parameters on the overall engine performance and emission characteristics using W/D emulsion fuel and to obtain the optimum level for favorable performance and emission levels. The engine operating parameters were optimized using a Taguchi–grey relation based multi-response optimization tool. Two controlling parameters, namely compression ratio (CR) and percentage of W/D, were considered as input process parameters. An L16 orthogonal array was used to collect the output responses (performance and emissions) under varying engine load conditions. The signal-to-noise (S/N) ratio and grey relational analysis were used to analyze the performance and emission parameters. From the results obtained, it is noted that both controlling parameters have a significant effect on the performance and emission levels. The optimum level of performance and emission levels are obtained at a CR of 18 and water concentration of 10%. Moreover, under these optimum conditions, i.e. at 10% of water concentration, the fuel properties are at par with the standard diesel fuel properties requirement.

Keywords

Emulsion fuel properties; Grey relational analysis; Optimization; Taguchi method; Water-in-diesel emulsion

Conclusion

In order to analyze the effect of the operating parameters of a diesel engine running on W/D emulsion fuel and to obtain the optimum levels, the Taguchi–grey relation based multi-response optimization tool has been applied and the results presented. Based on the results, it can be concluded that CR and the concentration of water have a significant effect on the performance and emission characteristics of the diesel engine. The optimal parametric settings to provide better performance and emission characteristics are predicted as CR 18 and 10% water concentration in diesel for all loading conditions. Further, the measured physico-chemical properties of 10% W/D emulsion fuel meet the EN 590:2009 fuel standard and thus can be used directly in existing diesel engines.

References

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