Optimization analysis of a compression ignition engine running with silver oxide and titanium dioxide nanoparticles blended into canola biodiesel and pure diesel using Taguchi technique

Document Type : Research Paper

Authors

1 Mechanical Engineering Department, Faculty of Engineering, Karabük University, Karabük, Türkiye

2 Department of Mechanical Engineering, Ferdowsi University of Mashhad, Mashhad, Iran

3 Nigde Vocational School of Technical Sciences, Nigde Ömer Halisdemir University, Nigde, Türkiye

Abstract

The present experimental investigation examines the impact of adding silver oxide and titanium dioxide nanoparticles as fuel additives to diesel and canola biodiesel upon exhaust emission and performance parameters of a diesel engine. Titanium dioxide and silver oxide nano-additives were dispersed to canola and diesel with two different concentrations of 50 and 75 ppm. The results indicate that adding silver oxide and titanium dioxide nanoparticles into diesel and canola enhanced the brake thermal efficiency and reduced the brake specific fuel consumption. The findings also reveal that the nanoparticles addition resulted in the considerable reduction in emissions of CO and smoke, whilst NOx emission increased. At 40 Nm load condition, adding 75 ppm titanium dioxide to canola leads to 6.5% reduction of brake specific fuel consumption, 6.2% improvement in brake thermal efficiency, 24% CO emissions reduction, 16% increase in NOx emission and 39.1% smoke emission reduction. Moreover, dispersing 75 ppm silver oxide into canola under 40 Nm engine load results in 4.4% decrease in brake specific fuel consumption, 4.1% brake thermal efficiency enhancement, 16.4% reduction of CO, 7.5% increment in NOx emission and 18.5% smoke emission reduction. According to the Taguchi analysis, the overall optimum condition is obtained when the engine is fueled with 75 ppm silver oxide nano-diesel at 10 Nm engine load. Consequently, although the desired system output conditions are associated with different input parameters based on the findings, the application of the Taguchi method enables us to identify the specific conditions under which optimal system performance is attained.

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Articles in Press, Accepted Manuscript
Available Online from 08 January 2025
  • Receive Date: 06 April 2024
  • Revise Date: 06 December 2024
  • Accept Date: 10 December 2024