Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Experimental Combustion and Emissions Evaluation of Ternary Mixtures of Diesel-Biodiesel-Ethanol in a CFR-ASTM Engine

Version 1 : Received: 17 March 2022 / Approved: 21 March 2022 / Online: 21 March 2022 (18:34:12 CET)

How to cite: Machado, R. R.; Pinto, N. R.; Colaço, M. J.; Leiroz, A. J. K. Experimental Combustion and Emissions Evaluation of Ternary Mixtures of Diesel-Biodiesel-Ethanol in a CFR-ASTM Engine. Preprints 2022, 2022030287. https://doi.org/10.20944/preprints202203.0287.v1 Machado, R. R.; Pinto, N. R.; Colaço, M. J.; Leiroz, A. J. K. Experimental Combustion and Emissions Evaluation of Ternary Mixtures of Diesel-Biodiesel-Ethanol in a CFR-ASTM Engine. Preprints 2022, 2022030287. https://doi.org/10.20944/preprints202203.0287.v1

Abstract

The present work presents and discusses experimental performance and gaseous emission results of the use of ternary mixtures of diesel oil, biodiesel and ethanol in an ASTM-CFR engine. Eight different mixtures with biodiesel content equal to 8%, 20% and 60%, and ethanol content equal to 0%, 5% and 8% were analyzed. After the selection and preparation of the mixtures, the determination of the cetane number for each one was performed following the ASTM D613 standard. After cetane number evaluation, two off-standard operating conditions were selected, and performance and emissions were obtained. A thermodynamic analysis and a Bayesian inverse approach were applied and physical quantities of interest, such as indicated work, maximum pressure, rate of heat released by the fuel, ignition delay, and combustion duration, were obtained. In-cylinder pressure data were obtained through an AVL Indicating system installed in the ASTM-CFR engine. The heating values of each mixture were determined using a bomb calorimeter and thermal and indicated efficiencies were evaluated based on the total heat released by the fuel and the indicated work. Finally, a gaseous emissions analysis was conducted to evaluate the influence of the blend compositions, as well as of their cetane numbers, on the formation of NOx, CO and CO2.

Keywords

ternary mixtures; CFT-ASTM; Bayesian techniques

Subject

Engineering, Mechanical Engineering

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