Action of the Fluid in the Air-Micrometer : 1st Report, Characteristics of Small-Diameter Nozzle and Orifice No.1, In the Case of Compressibility Being Ignored

Nakayama, Yasutoshi

doi:10.1299/jsme1958.4.507

Cited by 7 publications

(5 citation statements)

References 2 publications

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“…(18) and (20), the values of d and S should be measured in cm [22]. And for the back-pressure gauge under study, the pressure ratio P a /P values are also within the considered range as for Eqs.…”

Section: Empirical Equations For the Nozzle-workpiece Sensormentioning

confidence: 99%

“…But, unfortunately there was no attempt to develop any pneumatic gauge model. However, earlier more extensive experimental study on fluid flows within pneumatic gauging for different designs of flow restrictors was carried out and presented in the series of reports by Nakayama [18][19][20][21][22]. The steady-flow models of five types of rounded flow restrictors, twenty four types of cylindrical flow restrictors, and five types of knife-edged fixed metering orifices with internal diameters changing from 0.3 to 1.2 mm were investigated for Reynolds numbers varying from 550 to 10,000 and by using distilled water, low-and high-pressure air.…”

Section: Pneumatic Gauge Empirical Modellingmentioning

confidence: 99%

“…The air flowing through the back-pressure gauge was considered as a dry air, so the computation of c 1 and c 2 was performed by equations proposed in the first report [18], which for the fixed metering orifice is…”

Section: Pneumatic Gauge Empirical Modellingmentioning

confidence: 99%

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Pneumatic gauge steady-state modelling by theoretical and empirical methods

Bókov¹

2011

Measurement

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Section: Empirical Equations For the Nozzle-workpiece Sensormentioning

confidence: 99%

Section: Pneumatic Gauge Empirical Modellingmentioning

confidence: 99%

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Pneumatic gauge steady-state modelling by theoretical and empirical methods

Bókov¹

2011

Measurement

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“…For the noncavitating flows, Nakayama [8] gave the following equation based on the experimental data.…”

Section: Fuel Leaking Analysismentioning

confidence: 99%

Fuel Leaking Analysis of Fuel Tank by Projectiles Impact with Mechanical Properties of Projectiles

Cai

Song

Pei

et al. 2013

AMR

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For making sure the dry bay ignition and fire, it’s necessary to calculate the number and the sizes of the droplets and determine the mass flow rate of the fuel induced by high-speed impact and penetration of a rigid projectile into fuel tank. An analytical model is founded and the method for calculating the initial leaking velocity of the fuel is determined. It gives the equation for calculating the drop size distributions of fuel and the Sauter mean diameter (SMD) of droplets, through the Maximum Entropy Theory and the conservation for mass. Using the Harmon’s equation for SMD,the fuel droplets SMD can be calculated. Results shows that the initial leaking velocity of the fuel is about linearly increasing with the velocity of the projectile, the SMD of fuel droplets increases with the hole size of the fuel tank which induced by the penetration of the projectile and linearly decreases with the velocity of the projectile. The results can be used for the ignition and fire analysis of the dry bay adjacent to fuel tanks.

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“…Previous studies revealed that cavitation formation is not sensitive to fuel physical properties, but depends more significantly on the nozzle geometry, 29 especially the inlet curvature radius and conicity. 41,45 Furthermore, mathematical correlations for the discharge coefficient were also formulated typically with a function of Reynolds number and cavitation number, etc., [47][48][49][50] which greatly helped guide the nozzle designing process. Nevertheless, most of these correlations were derived from simplified step-wise cylindrical nozzle geometries with sharp corners, and the measurements were primarily conducted under relatively low injection and ambient pressure conditions.…”

Section: Introductionmentioning

confidence: 99%

Development of correlation model for cavitating spray using Eulerian simulations

Liu,

Guo,

2023

International Journal of Engine Research

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Modern high-pressure injection systems for heavy-duty applications are prone to cavitation, which may have a detrimental effect on the system integrity. The present study aims to develop reliable correlations for Lagrangian engineering simulations to predict the onset of cavitation. Using the extensive data generated from the high-fidelity Eulerian volume-of-fluid (VOF) simulations of a single-hole injector for a wide range of operating conditions, a proper set of discharge ( Cd) and contraction ( Ca) coefficients are determined. In particular, four significant factors characterizing nozzle geometry are considered: the K factor, inlet curvature radius, nozzle exit radius, and channel length, as well as ambient and injection pressures. The results showed that a larger K factor and inlet curvature radius yielded higher Cd and Ca values, while the exit radius and channel length had a less significant impact on the cavitation dynamics. The smaller pressure difference between the nozzle inlet and exit mitigated the cavitation formation. These trends were well described using the mathematical regression model. Furthermore, two other correlation models based on the regression learner and artificial neural network methods were also developed. Of these three models, the mathematical regression model yielded the best agreement with an external validation dataset.

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Action of the Fluid in the Air-Micrometer : 1st Report, Characteristics of Small-Diameter Nozzle and Orifice No.1, In the Case of Compressibility Being Ignored

Cited by 7 publications

References 2 publications

Pneumatic gauge steady-state modelling by theoretical and empirical methods

Pneumatic gauge steady-state modelling by theoretical and empirical methods

Fuel Leaking Analysis of Fuel Tank by Projectiles Impact with Mechanical Properties of Projectiles

Development of correlation model for cavitating spray using Eulerian simulations

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