Comparative analysis of various modelling techniques for emission prediction of diesel engine fueled by diesel fuel with nanoparticle additives

Abstract

In this study, emissions of compression ignition engine fueled by diesel fuel with nanoparticle additives was modeled by regression analysis, artificial neural network (ANN) and adaptive neuro fuzzy inference system (ANFIS) methods. Cetane number (CN) and engine speed (rpm) were selected as input parameters for estimation of carbon monoxide (CO), oxides of nitrogen (NOx), and carbon dioxide (CO 2 ) emissions. The results of estimation techniques were compared with each other and they showed that regression analysis was not accurate enough for prediction. On the other hand, ANN and ANFIS modelling techniques gave more accurate results with respect to regression analysis; linear and non-linear. Especially ANFIS models can be suggested as estimation method with minimum error compared to experimental results. Keywords:Adaptive neuro fuzzy inference system; Artificial neural network; Diesel engine; Regression analysis INTRODUCTIONIn recent years, depletion of fossil fuels forces researchers to search new alternative fuels. In literature, there are a lot of studies about fuels which have potential to replace fossil fuels used in internal combustion engines. In this respect, various biofuels and alcohols seem as good option [1]. In addition to scarcity of conventional fuels, efforts on performance en-hancement and emission reduction of engines are the other important issues on which engineers and engine manufacturers are working on it. Especially, the stringent emission legislations enforced manufacturers to develop new technologies [2]. Traditional engine research and development studies are both difficult and costly to meet emission limits imposed by legislations. Therefore, these costly studies are replaced by various cost-effective approaches as artificial neural networks (ANN) and computational fluid dynamics (CFD) [3]. ANNs are nonlinear computer algorithms, which can model the behavior of complex nonlinear processes. Recently, this method has been widely applied to various disciplines as automotive engineering [4]. Yusaf et al. studied the effect of using CPO (crude palm oil) -OD (ordinary diesel) blends as fuel on the performance of CI (compression ignition) engine. In addition, engine power output, fuel consumption, and exhaust-gas emission are evaluated and then predicted using ANN technique [5]. Shanmugam et al. used ANN modeling to predict the performance and exhaust emissions of the diesel engine using hybrid fuel and they revealed that the ANN approach could be confidently used to predict the performance and emissions of the diesel engine accurately [6]. Ghazikhani and Mirzaii predicted soot emission of a waste-gated turbo-charged DI diesel engine using ANN. The results showed the ANN approach can be used to accurately predict soot emis-sion of a turbo-charged diesel engine in different opening ranges of waste-gate (ORWG) [7].

A Simple Approach for Controlling an Open-Source Syringe Pump

“…Microfluidics is a growing field with promising potential in lab-on-a-chip and point-of-care diagnostics that enables various advantages such as precision and reduced contamination in chemical, biological, medical and engineering fields [1][2][3]. Flow rate control in microfluidic systems is an important requirement for chemical reactions, nanoparticle synthesis, bioanalysis, and therapeutic applications [4][5][6][7]. Syringe pumps are the benchtop equipment for regulating fluid flow in microfluidics, but they are not easily accessible to limited resource laboratories due their relatively high costs [8].…”

Fast NOx emission prediction methodology via one-dimensional engine performance tools in heavy-duty engines

“…Besides, in the literature, there are many studies using engine speed parameter for NO x emission prediction. [25][26][27] EGR flow is also chosen since it is one of the main parameters showing a significant trend on NO x formation.…”

Research of Effect on Gasoline-2-Propanol Blends on Exhaust Emission of Gasoline Engine with Direct Enjection Using Taguchi Approach

“…One of the most critical problems of today is environmental pollution. One of the primary sources of environmental pollution is the use of fossil fuels [1]. Fossil fuels are primarily used in internal combustion engines.…”