Modeling of Processes Into Electro-Hydraulic Valves of an Engine’ Fuel System

Vrublevskyi, Oleksandr

doi:10.5755/j01.mech.25.2.22015

Cited by 3 publications

(5 citation statements)

References 22 publications

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“…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). This was also mentioned by [59]. However, their model needed at least 24 h for one simulation on a quad-core laptop, and the simulation result only corresponded well with the experimental result for low pump speeds.…”

Section: Fuel System Simulationmentioning

confidence: 83%

“…Within this process, simulation experiments will be used in combination iteratively for further assessment and ver tion. If focus is placed on the design phase in the CADMID cycle (the phases before ufacturing), the impact of simulation modelling may be categorised into the follo four aspects: Preliminary design and optimization Fuel system simulations are primarily used for preliminary design and system misation ( [54,56,59,60]). They can represent the system at a conceptual level and pro a platform for the improvement on the system's construction or algorithms.…”

Section: Fuel System Simulationmentioning

confidence: 99%

“…To reduce cost, they developed a numerical simulation model in the Diesel-RK gram before the bench test to assess how the fuel system's parameters impacted Int Combustion Engine (ICE) performance. In this way, they found out the best configur Preliminary design and optimization Fuel system simulations are primarily used for preliminary design and system optimisation ( [54,56,59,60]). They can represent the system at a conceptual level and provide a platform for the improvement on the system's construction or algorithms.…”

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%

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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: 83%

Section: Fuel System Simulationmentioning

confidence: 99%

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%

See 2 more Smart Citations

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

King

Jennions

2023

Machines

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show abstract

“…A review of the literature [8,18,32,33] The heat transfer coefficient σ was calculated with the use of equation (1) to account for the presence of a leakage flux in the magnetic circuit:…”

Section: Model Of a Solenoid Valuementioning

confidence: 99%

Analysis of potential improvements in the performance of solenoid injectors in diesel engines

Vrublevskyi¹,

Wierzbicki²

2023

Eksploatacja i Niezawodność – Maintenance and Reliability

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Efficient fuel injection and exhaust gas cleaning systems are needed to promote the development of high-performance internal combustion systems and decrease greenhouse gas emissions. Electronically controlled injection systems enable nearly unlimited control over system components whose operation is limited by the inertia of moving parts and other physical phenomena. In the present study, a novel technology for manufacturing magnetic cores was proposed to improve the performance of solenoid injectors in Diesel engines. The conducted simulations and experiments revealed that the developed technology can increase the speed of solenoid injectors. In the proposed solution, the fuel dose was split to effectively control the injection process and improve engine performance.

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Measurement and theoretical analysis of the displacement characteristics of moving components in a solenoid injector in view of wave phenomena

Vrublevskyi

Wierzbicki

2022

Measurement

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Modeling of Processes Into Electro-Hydraulic Valves of an Engine’ Fuel System

Cited by 3 publications

References 22 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

Analysis of potential improvements in the performance of solenoid injectors in diesel engines

Measurement and theoretical analysis of the displacement characteristics of moving components in a solenoid injector in view of wave phenomena

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