An experimental investigation of ignition probability of diesel fuel droplets with metal oxide nanoparticles

Shams, Zohreh; Moghiman, Mohammad

doi:10.1016/j.tca.2017.09.007

Cited by 23 publications

(7 citation statements)

References 23 publications

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“…Nanofluid fuels are a relatively new class of fuels by suspending NPs (1∼100 nm) within a base fuel and have demonstrated their potential use in energy conversion and management systems intended for industrial applications such as automobiles (IC engines), electronics, nuclear power, and power generation. , These suspended NPs can be mainly classified into three groups: (1) metallic NPs (Al, − B, , Ce, etc − CeO 2 , , Fe 3 O 4 , , TiO 2 , ZnO, CuO, NiO, etc carbon nanotube, graphene, − and graphene oxide).…”

Section: Introductionmentioning

confidence: 99%

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Effect of Nanoparticle Concentration on Physical and Heat-Transfer Properties and Evaporation Characteristics of Graphite/n-Decane Nanofluid Fuels

Yang

et al. 2022

ACS Omega

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n-Decane-based nanofluid fuels could be one of the most promising alternative fuels as aviation kerosene for aerospace application. However, the physical and heat-transfer properties of n-decane-based nanofuels have been rarely studied, and the influence of the concentration of nanoparticles on the evaporation characteristics of n-decane-based fuels has been sparsely investigated. This paper investigated physical and heat-transfer properties and evaporation characteristics of graphite/n-decane nanofluid fuels and emphasized the concentration effect of adding graphite nanoplatelets (GNPs) on these characteristics. It was found that there are a linear increase of density and thermal conductivity, a binomial increase of viscosity, and a binomial influence on surface tension as GNP concentration increases, while the boiling point almost remains constant, and the latent heat of vaporization largely decays. There exists a critical GNP concentration of 1.75 wt % for the evaporation performance. At 0∼1.75 wt %, the increase of GNP concentration benefits the evaporation. At 1.75∼4.0 wt %, the enhancement of GNP concentration deteriorates the evaporation performance. A detailed discussion of this evaporation behavior was made, which could be attributed to multiple factors, for example, the aggregation of nanoplatelets, the changes of physical and heat-transfer properties owing to the nanoparticle concentration effect, the surfactant concentration, and the ambient temperature. The concentration of surfactants has a binomial effect, and the ambient temperature has a linear effect on the evaporation rate. This study would promote in depth understanding of physical and heat-transfer properties and evaporation characteristics of nanofluid fuels and develop the application in turbine engines and ramjet engines.

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Section: Introductionmentioning

confidence: 99%

“…15,16 These suspended NPs can be mainly classified into three groups: (1) metallic NPs (Al, 17−20 B, 21,22 Ce, etc. 23 ); (2) metal-oxide NPs (Al 2 O 3 , 24−26 CeO 2 , 27,28 Fe 3 O 4 , 29,30 TiO 2 , 31 ZnO, 32 CuO, 24 NiO, etc. carbon-based NPs (graphite, 34 carbon nanotube, 35 graphene, 36−38 and graphene oxide 39 ).…”

Section: Introductionmentioning

confidence: 99%

Effect of Nanoparticle Concentration on Physical and Heat-Transfer Properties and Evaporation Characteristics of Graphite/n-Decane Nanofluid Fuels

Yang

et al. 2022

ACS Omega

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“…The nanoparticle has a size range of 20 nm with 99% purity, which a scanning electron microscope (SEM) verified image, as shown in Figure S1. TiO 2 nanoparticles have been selected for the study because of their substantial surface area, high thermal conductivity, low cost, and high oxygen content . It could be used as a catalyst that donates oxygen, supplying oxygen for CO and HC oxidation, or absorbing it for NOx reduction.…”

Section: Methodsmentioning

confidence: 99%

Combined Effect of Operating Parameters and Nanoparticles on the Performance of a Diesel Engine: Response Surface Methodology-Coupled Genetic Algorithm Approach

Dewangan

Mallick

Yadav³

et al. 2023

ACS Omega

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This paper’s goal is to ascertain the optimum input parameters and nanoparticle concentrations for least emission and better performance by utilizing the genetic algorithm (GA) and response surface methodology (RSM) in a single-cylinder diesel engine running with 20% blend of biodiesel derived from Manilkara zapota seeds. Experiments to be conducted on the engine were designed with a central composite design (CCD) with input parameters of loads (20–100%), nanoparticle concentrations (NPCs, 0–80 ppm), compression ratios (CRs, 16.5–18.1), injection pressures (IPs, 190–230 bar), and injection timings [ITs, 17–29° bTDC (before top dead center)], and the engine response was recorded. The comparative analysis of optimization tools RSM and GA was employed for finding the ideal setting of engine input parameters and nanoparticle concentrations based on the maximization of performance [brake thermal efficiency (BTE) and brake-specific fuel consumption (BSFC)] and minimization of emissions [(hydrocarbon (HC), carbon monoxide (CO), and nitrogen oxides (NOx)]. The best result was obtained by the RSM method. The optimized input parameters were recorded at a load of 59.36%, an NPC of 80 ppm, a CR of 18.1, an IP of 192.02 bar, and an IT of 18.62° bTDC. At these optimized settings, the performance and emissions were 32.4767% BTE, 0.1905 kg/kW h BSFC, 26.8436 ppm HC, 0.0272% CO, and 83.854 ppm NOx emissions from the engine. The developed model was validated through a confirmatory experiment, and the prediction error was within 8%. Thus, the applied model is appropriate for improving the engine’s emission and performance attributes.

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“…Jones et al [19] showed that n-AIO particles were suspended in ethanol and subjected to ultrasonic stirring, resulting in the formation of a spatially stable ethanol-based suspension that could be retained for a minimum duration of 47 minutes. Similarly, Shams and Moghiman [20] facilitated the uniform dispersion of nanoparticles within the base fuel under the condition of ultrasonic waves for approximately 20 minutes, leading to the production of uniformly dispersed diesel-based nanomaterials.…”

Section: Introductionmentioning

confidence: 99%

Design of Mechanical Stirring Device with Ultrasonic-Alternating Electric Field Coupling Cycloidal Motion

He,

Liu,

Wang

et al. 2023

Preprint

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In an effort to overcome the problem of ineffective cutting or broaching caused by the agglomeration phenomenon during the production of green nano-cutting fluids, a novel agitator was developed. This design employs the mathematical mechanism of ultrasonic-alternating electric field coupling cycloid motion to prepare a green nano-cutting fluid with improved dispersion uniformity. The non-uniform alternating electric field generated by the arc electrode is used to establish a coupled physical field with the ultrasonic field. Meanwhile, the motor-driven ultrasonic stirring rod’s cycloid motion stirring, in conjunction with the temperature control system, is utilized to facilitate the preparation of the cutting fluid. After that, the cutting fluid is used for broaching tests. The comparative analysis of the test results demonstrated that the utilization of the stirrer in the preparation of green nano-cutting fluid yields a significant reduction in broaching load during the broaching test, as compared to cutting fluids prepared using alternative methods.

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An experimental investigation of ignition probability of diesel fuel droplets with metal oxide nanoparticles

Cited by 23 publications

References 23 publications

Effect of Nanoparticle Concentration on Physical and Heat-Transfer Properties and Evaporation Characteristics of Graphite/n-Decane Nanofluid Fuels

Effect of Nanoparticle Concentration on Physical and Heat-Transfer Properties and Evaporation Characteristics of Graphite/n-Decane Nanofluid Fuels

Combined Effect of Operating Parameters and Nanoparticles on the Performance of a Diesel Engine: Response Surface Methodology-Coupled Genetic Algorithm Approach

Design of Mechanical Stirring Device with Ultrasonic-Alternating Electric Field Coupling Cycloidal Motion

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