Characterization of orifice performance using Computational Fluid Dynamics

Shenoy, Vighnesh; Venkata, Santhosh Krishnan

doi:10.1109/mysurucon52639.2021.9641603

Cited by 2 publications

(2 citation statements)

References 14 publications

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“…Appropriate lengths are selected upstream and downstream of the opening to ultimately enable the pipe to develop the flow. In this work, vena contracta taps are used [45]. Figure 1 illustrates how the pressure gradually rises as the liquid gets closer to the orifice plate.…”

Section: Computational Fluid Dynamicsmentioning

confidence: 99%

Accurate Liquid Level Measurement with Minimal Error: A Chaotic Observer Approach

Shenoy,

Venkata

2024

Computation

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This paper delves into precisely measuring liquid levels using a specific methodology with diverse real-world applications such as process optimization, quality control, fault detection and diagnosis, etc. It demonstrates the process of liquid level measurement by employing a chaotic observer, which senses multiple variables within a system. A three-dimensional computational fluid dynamics (CFD) model is meticulously created using ANSYS to explore the laminar flow characteristics of liquids comprehensively. The methodology integrates the system identification technique to formulate a third-order state–space model that characterizes the system. Based on this mathematical model, we develop estimators inspired by Lorenz and Rossler’s principles to gauge the liquid level under specified liquid temperature, density, inlet velocity, and sensor placement conditions. The estimated results are compared with those of an artificial neural network (ANN) model. These ANN models learn and adapt to the patterns and features in data and catch non-linear relationships between input and output variables. The accuracy and error minimization of the developed model are confirmed through a thorough validation process. Experimental setups are employed to ensure the reliability and precision of the estimation results, thereby underscoring the robustness of our liquid-level measurement methodology. In summary, this study helps to estimate unmeasured states using the available measurements, which is essential for understanding and controlling the behavior of a system. It helps improve the performance and robustness of control systems, enhance fault detection capabilities, and contribute to dynamic systems’ overall efficiency and reliability.

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Section: Computational Fluid Dynamicsmentioning

confidence: 99%

Accurate Liquid Level Measurement with Minimal Error: A Chaotic Observer Approach

Shenoy,

Venkata

2024

Computation

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“…A CFD simulation for a three-dimensional model [1] is carried out using ANSYS to investigate the laminar type of liquid flow and the pressure profile through the sharp-edge orifice plate with a pipe diameter (D) of 1inch and the orifice diameter (d 0 ) of 0.5inch. β ratio = 0.5inch and length/depth of the orifice plate is 0.05inch [55]. The pipe's total length is kept at 40inch having both upstream and downstream flow lengths as 19.975inch.…”

Section: Description Of System and Calculation Of The Liquid Levelmentioning

confidence: 99%

Estimation of Liquid Level in a Harsh Environment Using Chaotic Observer

Shenoy

Venkata

2022

Journal of Robotics and Control

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The increased demand for liquid level measurement has been a key factor in designing accurate and reliable control systems. Here, a study was carried out to calculate the liquid level in a tank using a pressure sensor for changes in inlet liquid parameters like temperature, density and velocity. Prediction of their variables for the long term is essential due to the randomness present in the input and measurement. Hence, observer design for state estimation of a non-linear dynamic system with uncertainties in the measurement and process becomes important. This work provides a feedback observer solution for a system with multiple inputs and single measurable output. A full state observer model is developed to estimate a system’s states with a sensor placed at a definite position from the pipe’s input point through which the liquid flows at different densities and temperatures. Using the observability properties, Luenberger full state observer is designed by various methods, verified using MATLAB and SIMULINK for the system state estimation. To incorporate process noise and measurement noise, the Kalman estimator is integrated with the system. Chaotic systems are susceptible to initial conditions, variations in parameters and are complex dynamic systems. However, providing consistently precise measurements through particular meters necessitates time-consuming computations that can be reduced by employing machine learning approaches that make use of optimizers. The results obtained are compared with the prediction models obtained using Artificial Neural Networks and are validated through the readings obtained from the experimental setup.

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Characterization of orifice performance using Computational Fluid Dynamics

Cited by 2 publications

References 14 publications

Accurate Liquid Level Measurement with Minimal Error: A Chaotic Observer Approach

Accurate Liquid Level Measurement with Minimal Error: A Chaotic Observer Approach

Estimation of Liquid Level in a Harsh Environment Using Chaotic Observer

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