A novel approach for measuring the void fraction in stratified air-water systems utilizing an 8-blade capacitance-based sensor, sinogram, and a deep neural network

• Autorzy: Mayet Abdulilah Mohammad , Shahsavari Mohammad Hossein , Alizadeh Sayed Mehdi , Hanus Robert , Parayangat Muneer , Raja Ramkumar M. , Muqeet Mohammed Abdul , Salman Mohammed Arafath , Kubiszyn Piotr

Identyfikatory

DOI

10.12913/22998624/195454

• Języki publikacji: EN

Abstrakty

EN

Measuring Void Fraction (VF) in a pipeline is crucial for ensuring operational efficiency, safety, and environmental responsibility in various engineering applications. There are several methods commonly used to measure VF in multiphase flow systems. Capacitance sensors are a dependable and practical option for measuring VF, providing benefits such as versatility, sensitivity, cost-effectiveness, and ease of use. In this study, simulations were performed to produce different VF levels of an air-water stratified two-phase flow, ranging across 31 distinct VF values from completely full to entirely empty. Moreover, an 8-blade concave capacitive sensor was designed and utilized for VF measurements. In order to use the power of the Finite Element Method (FEM), COMSOL Multiphysics was employed to produce the desired void fractions and measure the capacitance value of each pair of electrodes. The capacitance values of these electrode pairs were measured, resulting in the creation of sinograms corresponding to different VF. These sinograms were utilized as inputs for a Deep Neural Network (DNN) developed in Python, specifically a Multilayer Perceptron model, to estimate VFs. Furthermore, to enhance user understanding, sinograms were employed to reconstruct fluid images using the back-projection method. The results demonstrated an accuracy of 0.002, a significant improvement over previous methodologies in VF measurement.

Słowa kluczowe

EN

two-phase flow; void fraction; stratified flow pattern; capacitance-based sensors; concave sensor; flow

• Wydawca: Lublin University of Technology ; Polish Society of Ecological Engineering (PTIE), Branch of PTIE in Lublin
• Czasopismo: Advances in Science and Technology. Research Journal
• Rocznik: 2025
• Tom: Vol. 19, no. 1
• Strony: 269--283
• Opis fizyczny: Bibliogr. 39 poz., fig., tab.

Twórcy

autor

Mayet Abdulilah Mohammad

• Electrical Engineering Department, King Khalid University, Abha 61411, Saudi Arabia

autor

Shahsavari Mohammad Hossein

• Independent Researcher, Muscat 123, Oman

autor

Alizadeh Sayed Mehdi

• Department of Petroleum Engineering, College of Engineering, Australian University, West Mishref, Safat 13015, Kuwait

autor

Hanus Robert

• Faculty of Electrical and Computer Engineering, Rzeszów University of Technology, Powstańców Warszawy 12, 35-959, Rzeszów, Poland

• https://orcid.org/0000-0001-8595-1478

autor

Parayangat Muneer

• Electrical Engineering Department, King Khalid University, Abha 61411, Saudi Arabia

autor

Raja Ramkumar M.

• Electrical Engineering Department, King Khalid University, Abha 61411, Saudi Arabia

autor

Muqeet Mohammed Abdul

• Electrical Engineering Department, King Khalid University, Abha 61411, Saudi Arabia

autor

Salman Mohammed Arafath

• Electrical Engineering Department, King Khalid University, Abha 61411, Saudi Arabia

autor

Kubiszyn Piotr

• Faculty of Electrical and Computer Engineering, Rzeszów University of Technology, Powstańców Warszawy 12, 35-959, Rzeszów, Poland

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