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- Title
Biyodizel yakıt kullanan içten yanmalı motorlarda aşınma-sürtünme optimizasyonu ve tahmini için Taguchi ve yapay sinir ağı uygulaması.
- Authors
KAHRAMAN, Hüseyin; CESUR, İdris; EREN, Beytullah; ÇOBAN, Aslan
- Abstract
Alternative fuel researches are increasing day by day due to the decrease in crude oil in the world. Another purpose of using alternative fuel to petroleum in diesel engines is to release fewer polluting emissions to the environment. Although it releases clean emissions in alternative fuels, it is also desirable to have high engine efficiency. Biodiesel is the best alternative to diesel fuel in diesel engines. In addition, the reduction of efficiency loss in engines is achieved by reducing the amount of friction and wear between the ring-cylinder couple. In this study; The friction and wear behavior of biodiesel fuel, which is widely used as an alternative fuel in diesel engines, between the ring-cylinder couple was compared with diesel fuel. The study consists of three stages; In the first stage of the study, the experimental parameters that give the optimum conditions of friction and wear characteristics were determined by using the Taguchi method. In the second stage, the tribological properties of diesel and biodiesel fuel were investigated by conducting an experimental study. In the last stage of the study, the wear mechanism between the ringcylinder pair was modeled with artificial neural networks (ANN). With the work done; It has been determined that the friction coefficient of biodiesel is lower than diesel fuel and therefore the amount of wear is lower. Optimum conditions when the amount of wear is compared; biodiesel fuel was obtained under 150 rpm and 40 N load. Experimental results were predicted by the developed ANN model. In this way, the tribological properties between the ring-cylinder pair can be examined by reducing the number of experiments.
- Publication
Journal of Polytechnic, 2023, Vol 26, Issue 4, p1543
- ISSN
1302-0900
- Publication type
Article
- DOI
10.2339/politeknik.1216411