Surface pressure fluctuations in wall jets with different plate lengths

Arackal, Rahul S.; Jothi, T. J. S.

doi:10.1007/s00348-021-03329-x

Cited by 5 publications

(3 citation statements)

References 46 publications

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“…Before analyzing the experimental data, some fresh leaves were randomly selected, as shown in Figure 3, and the weight of each tea was determined (Arackal & Jothi, 2021). The mass fraction

ω_{italicij}

, defined as the ratio of the mass of tea category J in the collector to the total mass of tea is calculated as follows (Paul et al, 2020):

ξ_{italicij} = \frac{α_{ij}}{β_{i}}

where i = 1, 2, 3, respectively, represent three levels of collectors, namely, Levels 1, 2, and 3. j indicates the type of tea, where j = 1, 2, and 3, respectively, indicating single bud, one bud, and one leaf and one bud and two leaves.…”

Section: Mathematical Modelmentioning

confidence: 99%

“…Before analyzing the experimental data, some fresh leaves were randomly selected, as shown in Figure 3, and the weight of each tea was determined (Arackal & Jothi, 2021). The mass fraction ω ij , defined as the ratio of the mass of tea category J in the collector to the total mass of tea is calculated as follows (Paul et al, 2020):…”

Section: Calculation Of Tea Classification Ratementioning

confidence: 99%

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Orthogonal optimization for effective classification of different tea leaves by a novel pressure stabilized inclined chamber classifier

Cao

Zhu

Zhang

et al. 2022

J Food Process Engineering

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In the field of tea separation and processing, modern high‐tech can realize the nondestructive separation of tea and improve the quality of tea. In this study, a novel pressure‐stabilizing inclined chamber classifier was proposed, which was used to adjust the particle size distribution of tea at the entrance of the classifier. A suitable cavity can control the change of wind speed so that tea leaves are not easy to bend and deform, and the success rate of grading is improved. Second, three parameters that affect the success rate of tea classification are put forward: suction wind speed V, suction distance H, and suction distance L. When the parameters are V = 6 m/s, H = 40 mm, and L = 20 mm, the best response value is obtained, thus the most suitable entrance shape is obtained. Finally, the internal flow field of the classifier is analyzed, and different sizes of tea leaves are classified according to the change of air pressure flowing through the closed structure cavity. With the distribution of air velocity, tea leaves fall into collectors with different widths. Therefore, the flow field simulation test shows that the classifier can classify high‐quality tea according to the airflow. The model lays a foundation for further study of the fluid–solid coupling process and interaction between particles. Practical Applications In this study, a novel pressure‐stabilized inclined chamber classifier was designed, and three parameters that affect the success rate of tea classification were put forward. The process conditions were optimized by orthogonal tests, and the number of experiments was reduced. This method can be used to evaluate the influence of various technological parameters on tea classification. In order to improve the classification success rate, it is necessary to statistically discuss the results of the orthogonal test and flow field analysis.

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“…Before analyzing the experimental data, some fresh leaves were randomly selected, as shown in Figure 3, and the weight of each tea was determined (Arackal & Jothi, 2021). The mass fraction

ω_{italicij}

, defined as the ratio of the mass of tea category J in the collector to the total mass of tea is calculated as follows (Paul et al, 2020):

ξ_{italicij} = \frac{α_{ij}}{β_{i}}

Section: Mathematical Modelmentioning

confidence: 99%

Section: Calculation Of Tea Classification Ratementioning

confidence: 99%

Orthogonal optimization for effective classification of different tea leaves by a novel pressure stabilized inclined chamber classifier

Cao

Zhu

Zhang

et al. 2022

J Food Process Engineering

View full text Add to dashboard Cite

show abstract

“…The study demonstrated that the plate deflects the mean aerodynamic field over the surface and reduces turbulence intensity. Wall pressure fluctuations were also investigated by Arackal and Jothi 36 who analyzed the effects of differently sized plates.…”

Section: Introductionmentioning

confidence: 99%

Pressure distribution on a flat plate in the context of the phenomenon of the Coanda effect hysteresis

Skotnicka-Siepsiak

2022

Sci Rep

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As a result of the Coanda effect, a symmetrical free jet will flow as an asymmetrical wall jet. At the same time, at the obstacle along which the flow is observed, the wall jet generates pressure distribution. In this study, the obstacle located at the diffuser outlet is a flat plate with a variable inclination angle. The article presents results of the study on pressure distributions on a flat plate with a variable angle of inclination. In the experiment, the Reynolds number ranged from 16,192 to 42,240. A fixed geometry diffuser (Witoszyński nozzle) with a height of 0.60 m, width of 0.02 m and outlet velocity of 11.33–29.57 m/s was used. A plate with a length of 1.00 m and a variable inclination angle was installed at the diffuser outlet. What is new, however, is that the presented results of the experimental research include the influence of the Coanda effect hysteresis on the pressure distribution on the plate. The article shows how pressure distributions change on the plate depending on whether the initial angle of inclination was 0° and was increased gradually in the course of the experiment until a detachment of the jet flowing from the plate was observed, or the initial angle of inclination was close to 90° in the primal state and as the angle of the plate inclination was decreased, the jet flowing towards the plate reached the state of attachment to the plate surface. The study demonstrated that for a turbulent jet, pressure distribution on a flat plate is determined not only by the plate’s inclination angle, but also by the direction of its rotation.

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Unsteady pressure measurement in the presence of a cavity between the sensor and the flow

Gorbushin

Анохина

Stolyarov

2023

Sensors and Actuators A: Physical

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Surface pressure fluctuations in wall jets with different plate lengths

Cited by 5 publications

References 46 publications

Orthogonal optimization for effective classification of different tea leaves by a novel pressure stabilized inclined chamber classifier

Orthogonal optimization for effective classification of different tea leaves by a novel pressure stabilized inclined chamber classifier

Pressure distribution on a flat plate in the context of the phenomenon of the Coanda effect hysteresis

Unsteady pressure measurement in the presence of a cavity between the sensor and the flow

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