Effects of diesel-biodiesel fuel blends doped with zinc oxide nanoparticles on performance and combustion attributes of a diesel engine

El-Adawy, Mohammed

doi:10.1016/j.aej.2023.08.060

Cited by 31 publications

(4 citation statements)

References 44 publications

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“…CNT, carbon nanotube; F, ferrocene; GNP, graphene nanoparticle. 46,58,85,90,92,93 F I G U R E 13 Percentage change in HRR versus nanoadditives. CNT, carbon nanotube; F, ferrocene; GNP, graphene nanoparticle; HRR, Heat Release Rate.…”

Section: Heat Release Ratementioning

confidence: 99%

“…CNT, carbon nanotube; F, ferrocene; GNP, graphene nanoparticle; HRR, Heat Release Rate. 46,58,85,90,92,93 F I G U R E 14 In. Cylinder Pressure (bar) versus nanoadditive versus HRR (kJ/°CA).…”

Section: Heat Release Ratementioning

confidence: 99%

“…CNT, carbon nanotube; F, ferrocene; GNP, graphene nanoparticle; HRR, Heat Release Rate. 46,58,85,90,92,93 From the graph presented in Figure 14 it makes a clear and bold statement of how carbon-based nanoparticles like GNP and CNT can be a potential nanoadditive for the enhancement of the quality of the biodiesel. 99…”

Section: Heat Release Ratementioning

confidence: 99%

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A comparative study of the impact on combustion and emission characteristics of nanoparticle‐based fuel additives in the internal combustion engine

Gupta,

Kumar,

Maurya

et al. 2023

Energy Science & Engineering

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The search for an effective solution to improve performance and emission characteristics of internal combustion (IC) engines used in the commercial sector is regarded as one of the most important and essential issues in recent years due to increasing levels of pollution. Nanoparticles with their additive ability to increase fuel reactivity and atomization, due to their large surface area and high heat transfer coefficient, can improve the performance and emission characteristics of a fuel. This review highlights the use of nanoparticles as fuel additives to enhance the emission and performance characteristics of IC engines. Detailed comparisons of performance, emission, and combustion characteristics of IC engines using fuels blended with nanoparticles have been done. Nanoparticles were observed to be an oxygen buffer for fuel combustion and boost fuel atomization, thus enhancing engine performance. While alumina exhibited a decrease in levels of HC and CO but a considerable increase in NOx, graphene nanoparticles and ceria were found to be particularly effective in enhancing engine performance. Detailed study has been done on other nanoparticles, including metal‐oxide, nonmetal‐oxide as well as carbon nanoparticles. Overall, the use of nanoparticles can enhance the thermophysical characteristics of fuels, improving the emission and performance characteristics of engines. The review suggests that selecting the right dosage and variety of nanoparticles is crucial for optimizing engine performance, and thus directly helps in tackling the ongoing pollution problem.

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Section: Heat Release Ratementioning

confidence: 99%

Section: Heat Release Ratementioning

confidence: 99%

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A comparative study of the impact on combustion and emission characteristics of nanoparticle‐based fuel additives in the internal combustion engine

Gupta,

Kumar,

Maurya

et al. 2023

Energy Science & Engineering

View full text Add to dashboard Cite

show abstract

“…In the frequency domain, studies of frequency spectra through the application of the Fourier transform allow for detecting the type and severity of failure of some critical elements of the machine (such as bearings, shafts, or gears, among others) because their failure frequencies are widely known. However, it is not always possible to detect them in service [ 23 ].…”

Section: Introductionmentioning

confidence: 99%

A Vibration Analysis for the Evaluation of Fuel Rail Pressure and Mass Air Flow Sensors on a Diesel Engine: Strategies for Predictive Maintenance

Mafla-Yépez,

Castejon,

Rubio

et al. 2024

Sensors

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This research focuses on the analysis of vibration of a compression ignition engine (CIE), specifically examining potential failures in the Fuel Rail Pressure (FRP) and Mass Air Flow (MAF) sensors, which are critical to combustion control. In line with current trends in mechanical system condition monitoring, we are incorporating information from these sensors to monitor engine health. This research proposes a method to validate the correct functioning of these sensors by analysing vibration signals from the engine. The effectiveness of the proposal is confirmed using real data from a Common Rail Direct Injection (CRDi) engine. Simulations using a GT 508 pressure simulator mimic FRP sensor failures and an adjustable potentiometer manipulates the MAF sensor signal. Vibration data from the engine are processed in MATLAB using frequency domain techniques to investigate the vibration response. The results show that the proposal provides a basis for an efficient predictive maintenance strategy for the MEC engine. The early detection of FRP and MAF sensor problems through a vibration analysis improves engine performance and reliability, minimizing downtime and repair costs. This research contributes to the advancement of monitoring and diagnostic techniques in mechanical engines, thereby improving their efficiency and durability.

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Assessment of low-temperature combustion mode engine powered by titanium dioxide nano-additives in waste cooking oil with varied exhaust gas recirculation rates

Balasubramanian,

Rajarajan,

Venugopal

2024

J Therm Anal Calorim

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Effects of diesel-biodiesel fuel blends doped with zinc oxide nanoparticles on performance and combustion attributes of a diesel engine

Cited by 31 publications

References 44 publications

A comparative study of the impact on combustion and emission characteristics of nanoparticle‐based fuel additives in the internal combustion engine

A comparative study of the impact on combustion and emission characteristics of nanoparticle‐based fuel additives in the internal combustion engine

A Vibration Analysis for the Evaluation of Fuel Rail Pressure and Mass Air Flow Sensors on a Diesel Engine: Strategies for Predictive Maintenance

Assessment of low-temperature combustion mode engine powered by titanium dioxide nano-additives in waste cooking oil with varied exhaust gas recirculation rates

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