Effects of the diesel engine parameters on the ignition delay

Köten, Hasan; Parlakyiğit, Abdullah Selim

doi:10.1016/j.fuel.2017.11.136

Cited by 37 publications

(13 citation statements)

References 23 publications

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“…The biggest assumption is that the model does not have a time delay which is most likely violated in the Diesel engine with VGT. 16 Nonlineal model predictive control: Model predictive control (MPC) is a common technique in the process industries such as chemical plants and oil refineries. Basically, it uses the models and current plant variables to predict future moves based on a set of feasible inputs.…”

Section: Internal Model Controlmentioning

confidence: 99%

Survey of the state of affairs in diesel engine control

Al‐Durra¹

2018

JABB

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During the past decade, Diesel engine technology has stepped into the spotlight due to the great improvements made in materials, injection equipment, and emission treatment. 1 These improvements allowed to mitigate the disadvantages of the Diesel engine which can be summarized as: low power density, increased level of NOx and particulate matters (PM), noise and vibration harshness (NVH). 1 On the other hand, Diesel engines have the best fuel economy compared to the spark-ignited (SI) combustion engines. 2 Furthermore, Diesel engines allow high boost at all engine speeds and load conditions with high efficiency and transient performance. In order to achieve all of these advantages as well as alleviate the disadvantages, good control strategies must be implemented to control the main important paths: fuel path, air path, and EGR path. 3 In this report, the turbocharged Diesel control problems will be explored with some possible suggestions and ideas for more improvements.

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Section: Internal Model Controlmentioning

confidence: 99%

Survey of the state of affairs in diesel engine control

Al‐Durra¹

2018

JABB

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“…To promote biodiesel as a replacement to conventional diesel fuel in the global market, several aspects such as biodiesel production, fuel characterization, economic analysis, performance and emission qualities have to be thoroughly examined. As per the available literature (Koten et al , 2014; Koten and Parlakyiğit, 2018 ), optimization and modeling techniques improve the biodiesel yield, and biodiesel from the transesterification technique meets the international fuel standards. However, the combustion and performance analysis from biodiesel-fueled diesel engines are difficult to estimate due to the heterogeneous combustion (Basava et al , 2021).…”

Section: Introductionmentioning

confidence: 97%

An experimental based artificial neural network modeling in prediction of optimum combustion, performance, and emission from diesel engine operated with three biodiesels

Kolakoti¹

2021

WJE

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Purpose This study aims to improve the performance and to regulate the harmful emission from the diesel engine. For this purpose, palm oil biodiesel (POBD), waste cooking biodiesel (WCBD) and animal fat biodiesel (AFBD) are used for examination. Design/methodology/approach The transesterification process was followed to convert the three raw oils into biodiesels and the experiments are conducted at various loads with fixed 25 rps. Diesel as a reference fuel and three neat biodiesels are tested for emissions and performance. By training the experimental results in an artificial neural network (ANN), the best biodiesel was predicted. Findings The biodiesels are tested for significant fuel properties with the American Society for testing and materials standards and observed that kinematic viscosity, density and cetane number are recorded higher than diesel fuel. The fatty acid composition (FAC) from chromatography reveals the presence of unsaturated FAC is more in POBD (70.89%) followed by WCBD (57.67%) and AFBD (43.13%). The combustion pressures measured at every degree of crank angle reveal that WCBD and AFBD exhibited on far with diesel fuel. Compared to diesel fuel WCBD and AFBD achieved maximum brake thermal efficiency of 31.99% and 30.93% at 75% load. However, there is a penalty in fuel consumption and NOx emissions from biodiesels. On the other hand, low carbon monoxide, unburnt hydrocarbon emissions and exhaust smoke are reported for biodiesels. Finally, WCBD was chosen as the best choice based on ANN modeling prediction results. Originality/value There is no evident literature on these three neat biodiesel applications with the mapping of ANN modeling.

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“…At TDC temperature of 800K or lower, for a short injection time, ignition occurs after EOI, and combustion delay decreases as injection time decreases [17]. Koten and Paralagit [18] investigated the effect of diesel engine parameters on ignition delay. They showed that although there are many parameters that affect each other such as fuel consumption, greenhouse gas emissions and engine noise, the results are more related to the quality of combustion.…”

Section: Introductionmentioning

confidence: 99%