3D CFD Model of DI Diesel Low Pressure Fuel Pump System

Ding, Hui; Husmeier, Frank; Gudekar, Jayesh; Bobade, Amol; Patil, Deepak

doi:10.4271/2017-01-2304

Cited by 3 publications

(3 citation statements)

References 5 publications

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“…Finally, Ref. [58] built a CFD model for a low-pressure pump test rig (including valves and pipelines). They stated that the simulation model not only reduced the time and cost for their research (as they did not need to purchase and work on the hardware) but that it could also deliver detail which was not easy to measure from the experiment (such as pressure and flow condition in small gaps/clearances in the pump).…”

Section: Fuel System Simulationmentioning

confidence: 99%

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Intelligent Fault Diagnosis of an Aircraft Fuel System Using Machine Learning—A Literature Review

King

Jennions

2023

Machines

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The fuel system, which aims to provide sufficient fuel to the engine to maintain thrust and power, is one of the most critical systems in the aircraft. However, possible degradation modes, such as leakage and blockage, can lead to component failure, affect performance, and even cause serious accidents. As an advanced maintenance strategy, Condition Based Maintenance (CBM) can provide effective coverage, by combining state-of-the-art sensors with data acquisition and analysis techniques to guide maintenance before the asset’s degradation becomes serious. Artificial Intelligence (AI), particularly machine learning (ML), has proved effective in supporting CBM, for analyzing data and generating predictions regarding the asset’s health condition, thus influencing maintenance plans. However, from an engineering perspective, the output of ML algorithms, usually in the form of data-driven neural networks, has come into question in practice, as it can be non-intuitive and lacks the ability to provide unambiguous engineering signals to maintainers, making it difficult to trust. Engineers are interested in a deterministic decision-making process and how it is being revealed; algorithms should be able to certify and convince engineers to approve recommended actions. Explainable AI (XAI) has emerged as a potential solution, providing some of the logic on how the output is derived from the input given, which may help users understand the diagnostic result of the algorithm. In order to inspire and advise data scientists and engineers who are about to develop and use AI approaches in fuel systems, this paper explores the literature of experiment, simulation, and AI-based diagnostics for the fuel system to make an informed statement as to the progress that has been made in intelligent fault diagnostics for fuel systems, emphasizing the necessity of giving unambiguous engineering signals to maintainers, as well as highlighting potential areas for future research.

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Section: Fuel System Simulationmentioning

confidence: 99%

“…By using simulation, researchers can control [56] or observe [58,59] parameters that are not easy or impossible to manipulate and measure in the real fuel system.…”

mentioning

confidence: 99%

Intelligent Fault Diagnosis of an Aircraft Fuel System Using Machine Learning—A Literature Review

King

Jennions

2023

Machines

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“…To relieve this aspect, the authors in [12] introduced a ''multi-chamber'' scheme to model the CIGP fluid domain which proved to capture effectively the CIGP flow kinematics. On the other hand, several CFD analyses of CIGPs have been presented with the help of different commercial software packages such as CFX, Simerics, and Fluent, as can be found respectively in the works by Pietrzyk et al [13], Ding et al [14], and Liu et al [15]. As compared to the lumped simulations, CFD approaches provide more insight on localized flow details such as flow jets and localized cavitation features, in addition to the predictions of the main pressure-flow features across the unit.…”

Section: Dinghao Pan* Andrea Vaccamentioning

confidence: 99%

Modeling of Crescent‐Type Internal Gear Pumps Considering Gear Radial Micromotion

Pan

Vacca

2022

Chem Eng & Technol

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This paper presents a numerical modeling approach for investigating crescent‐type internal gear pumps (CIGPs) considering radial micromotions of both gears. The modeling approach couples a lumped parameter pressure solver on the bulk fluid domain, with a transient computational fluid dynamics film simulator based on transient gap geometries solved from the gear loading forces. Simulation results on a commercial unit shows that for a wide range of operating conditions, the model gives volumetric efficiency predictions with errors less than 2 % comparing to measurements. To highlight the importance of considering radial micromotions, the paper also provides the results achieved assuming nominal position for both gears.

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A Transient 3D CFD Thermal Model of the Complete DI Diesel Engine Fuel System

Zhou¹,

Husmeier²,

Nichani³

et al. 2023

SAE Int. J. Adv. & Curr. Prac. in Mobility

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<div class="section abstract"><div class="htmlview paragraph">This paper reports on a transient, three-dimensional computational fluid dynamics (CFD) study of flow and heat transfer in the complete fuel system of an inline 6-cylinder, direct injection (DI) diesel engine used in commercial applications. The CFD software Simerics-MP+ was used for this purpose. Diesel engine development, to meet fuel economy and exhaust emission standards, requires the precise integration of each component in the fuel system in order to reliably deliver the fuel to the combustion chamber as a function of crank angle to the combustion chamber, at the specified injection pressure. Both the model set-up and run times are practical, thus the simulation tool can play a key role in the design and development of diesel engine fuel systems.</div></div>

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3D CFD Model of DI Diesel Low Pressure Fuel Pump System

Cited by 3 publications

References 5 publications

Intelligent Fault Diagnosis of an Aircraft Fuel System Using Machine Learning—A Literature Review

Intelligent Fault Diagnosis of an Aircraft Fuel System Using Machine Learning—A Literature Review

Modeling of Crescent‐Type Internal Gear Pumps Considering Gear Radial Micromotion

A Transient 3D CFD Thermal Model of the Complete DI Diesel Engine Fuel System

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