Article
Chemistry, Multidisciplinary
Masakazu Murase, Daisuke Nakamura
Summary: This study proposes an equation to estimate both surface tension/energy for liquids and solids as well as interfacial tension/energy within the Hansen solubility parameter (HSP) framework. The contact angles of different liquids on various polymers estimated using this equation are compared with measured values, showing sufficient correlation for predicting wettability. Moreover, the equation demonstrates good predictive power for surface tension, surface energy, and interfacial tension. The integration of surface and interfacial properties with HSPs allows for the estimation of surface properties from bulk properties and vice versa, enabling the application of the extensive HSP database to surface and interfacial phenomena.
Article
Engineering, Chemical
Noor Hafsa, Sayeed Rushd, Hazzaz Yousuf
Summary: This study compared the performance of machine learning and deep learning in predicting gas-liquid flow regimes. The extreme gradient boosting method was identified as the optimal model for predicting two-phase flow regimes in inclined or horizontal pipelines.
Article
Mechanics
Linfeng Piao, Hyungmin Park
Summary: This study experimentally investigates the interfacial instabilities in a cylindrical container oscillating about its axis with two immiscible liquids, oil and water. The thresholds for the onset of different instabilities responsible for each regime are presented by the amplitude and frequency of rotation, with viscosity playing an important role in shaping the boundary of SD and multiple-droplet regimes.
JOURNAL OF FLUID MECHANICS
(2021)
Article
Engineering, Multidisciplinary
Mehdi Fadaei, Forough Ameli, Seyed Hassan Hashemabadi
Summary: Various methods for multiphase flow metering were introduced in this study, including using Coriolis flow meter to measure gas-liquid average density and determining gas volume fraction by discharge coefficient of an orifice plate. The application of Orifice plate and Coriolis flow meters for gas-liquid flow metering was investigated, along with predicting gas volume fraction using a soft sensor. Among various computational intelligence methods, the 3-layer neural network performed the best with a mean square error of 0.91% and mean absolute percent error of 3%.
Article
Chemistry, Multidisciplinary
Pawel Fiderek, Jacek Kucharski, Radoslaw Wajman
Summary: The paper presents an intelligent module for controlling dynamic two-phase gas-liquid mixtures pipelines flow processes using an algorithm based on AI methods. The module is able to generate desired flow types by manipulating the system input signals, and it improves control accuracy. The module also provides fuzzy adjustment values for the liquid pump and gas flow meter.
APPLIED SCIENCES-BASEL
(2022)
Article
Mechanics
Xinlei Qi, Shenghui Liu, Zhengliang Yu, Hedong Sun, Baohua Chang, Zhengyuan Luo, Bofeng Bai
Summary: This study delves into the dynamics of gas-water displacement in fractured porous media using a microfluidic device, revealing that the invasion pattern and interface morphology vary under different pressure conditions. A theoretical model was successfully established to predict the interfacial velocity of gas-water displacement under high pressure, providing valuable insights for preventing water invasion in natural gas reservoirs.
Article
Mechanics
Ghassan H. Abdul-Majeed, F. S. Kadhim, Falih H. M. Almahdawi, Yousif Al-Dunainawi, A. Arabi, Waleed Khalid Al-Azzawi
Summary: This work demonstrates the ability of artificial neural networks (ANNs) in predicting slug liquid holdup, with a developed ANN model outperforming existing models. The ANN model combined with slug mechanistic models provides better predictions for pressure drop in pipes.
INTERNATIONAL JOURNAL OF MULTIPHASE FLOW
(2022)
Article
Thermodynamics
Pengbo Yin, Weidong Li, Pan Zhang, Xuewen Cao, Wen Yang, Jiang Bian
Summary: This study aims to experimentally evaluate the liquid loading characteristics of gas-liquid flow with a surfactant in a hilly terrain pipeline. The results show that the flow range of low liquid loading increases significantly due to the effect of the surfactant. In intermittent flow, the fluctuation range and peak of liquid holdup and liquid volume fraction decrease significantly, while in segregated flow, they decrease to nearly zero.
EXPERIMENTAL THERMAL AND FLUID SCIENCE
(2023)
Article
Mechanics
Santanu Kumar Sahoo, Hrishikesh Gadgil
Summary: Gas-liquid coaxial injectors involve a shear layer between a gas stream and a liquid stream, resulting in self-pulsation of the spray. By applying acoustic forcing to the gas jet and analyzing the response, we can gain insights into the dynamics of atomization and potentially control it.
JOURNAL OF FLUID MECHANICS
(2022)
Article
Mechanics
Y. Mezui, M. Obligado, A. Cartellier
Summary: The hydrodynamics of bubble columns in the heterogeneous regime is studied experimentally. The void fraction field at small scales is analyzed and found to differ significantly from a random Poisson process in the heterogeneous regime. Meso-scale structures, such as clusters, void regions, and intermediate regions, are identified and found to drive the motion of bubbles. The relative velocity of bubbles is related to the concentration and characteristic size of these meso-scale structures, and a cartoon of the internal flow structure is proposed based on their values at large gas superficial velocities.
JOURNAL OF FLUID MECHANICS
(2023)
Article
Engineering, Environmental
Shaoshuo Li, Yaohui Wang, Yao Yang, Zhengliang Huang, Jingyuan Sun, Zuwei Liao, Jingdai Wang, Yongrong Yang, Bing Du
Summary: The study found that with an increase in solid flow rate, the liquid distribution in a three-phase moving bed becomes more uniform, but as the solid flow rate further increases, the liquid distribution becomes uneven.
CHEMICAL ENGINEERING JOURNAL
(2021)
Article
Engineering, Mechanical
Xianfei Liu, Hao Jiang, Fang Wang, Guodong Xia, Hui Zhang, Zhiqiang Li, Caixia Zhu, Zirui Zhang, Yuhang Liu, Doudou Zhao
Summary: This study aims to investigate the flow behavior and oil film thickness in the vertical helical channel to enhance the efficient operation of the single screw expander. It was found that the liquid film thickness improves with downward flow, and becomes more symmetrical with increasing oil viscosity, surface tension, and other factors.
INTERNATIONAL JOURNAL OF MECHANICAL SCIENCES
(2022)
Article
Chemistry, Physical
Fan Feng
Summary: For the first time, ANFIS (Adaptive Neuro-Fuzzy Inference Systems) artificial intelligence is used to improve the computational fluid dynamic (CFD) modeling of an air-water bubble column reactor. The study examines the impact of the number of membership functions and input on the ANFIS projection. The findings show that ANFIS can accurately estimate the turbulent kinetic energy with more nodes on the domain.
JOURNAL OF MOLECULAR LIQUIDS
(2023)
Article
Engineering, Chemical
Abbas H. Hasan, Shara K. Mohammed, B. Hewakandamby, Barry Azzopardi
Summary: This study investigated the interfacial structure of freely falling liquid films in a vertical large diameter pipe using an advanced Multi-Probes Film Sensor. The waves were found to be locally distributed around the pipe circumference and evolved with time in the axial direction, showing two distinct linear trends in skewness and kurtosis numbers intersecting at a specific Reynolds number. The experimental reconstructed three-dimensional wave structure data provided in this paper will be valuable for CFD model validation.
CHEMICAL ENGINEERING RESEARCH & DESIGN
(2021)
Article
Mechanics
Anubhav Bhatt, Harish Ganesh, Steven L. Ceccio
Summary: Partial cavity flows on a NACA0015 hydrofoil were visualized and studied using high-speed cinematography and time-resolved X-ray densitometry. Both near-surface liquid re-entrant flow and bubbly shock waves were identified as mechanisms causing cavity pinch-off and cloud shedding. The frequency of cavity shedding was examined and found to be related to the underlying flow dynamics. The probability of re-entrant flow or bubbly shock-induced shedding processes was quantified, and it was shown that the dominant mechanism for large-scale cavity shedding and cloud cavitation is shock waves when the Mach number exceeds unity.
JOURNAL OF FLUID MECHANICS
(2023)
Article
Energy & Fuels
Joseph X. F. Ribeiro, Ruiquan Liao, Aliyu M. Aliyu, Yahaya D. Baba, Archibong Archibong-Eso, Adegboyega Ehinmowo, Liu Zilong
JOURNAL OF NATURAL GAS SCIENCE AND ENGINEERING
(2020)
Article
Energy & Fuels
Joseph X. F. Ribeiro, Ruiquan Liao, Aliyu M. Aliyu, Salem K. B. Ahmed, Yahaya D. Baba, Almabrok A. Almabrok, Archibong Archibong-Eso, Zilong Liu
Summary: The study experimentally investigated the gas-liquid flow in a vertical pipeline and found that proper selection of interfacial friction factor correlations can accurately predict flow characteristics.
Article
Energy & Fuels
Belachew Cekene Tesfa, Rakesh Mishra, Aliyu M. Aliyu
Summary: Biodiesel is a promising and cleaner alternative to fossil fuels, as it does not require alterations in engine design and offers more sustainable and cleaner combustion.
Article
Energy & Fuels
Miftah Altwieb, Rakesh Mishra, Aliyu M. Aliyu, Krzysztof J. Kubiak
Summary: This study experimentally investigated the flow/heat transfer characteristics of three different heat exchanger geometries and found that louvred fins have the highest heat transfer rate but also the highest pressure drops. The new perforated design showed slightly higher pressure drop but higher heat transfer rate, especially at lower liquid flow rates. Two novel semiempirical relationships were derived to predict the heat exchanger's Fanning and Colburn factors as functions of fin surface area and Reynolds number, and the predictions were within +/- 15% of the experiments.
Article
Energy & Fuels
Mukhtar Abdulkadir, Olumayowa T. Kajero, Fawziyah O. Olarinoye, Dickson O. Udebhulu, Donglin Zhao, Aliyu M. Aliyu, Abdelsalam Al-Sarkhi
Summary: This article investigates the behavior of air-water upward and downward flows in large pipe diameters, using various parameters and statistical analysis to differentiate flow regimes, with results supported by visual inspection.
Article
Energy & Fuels
Lanchang Xing, Shuying Qi, Yuan Xu, Bin Wang, Liyun Lao, Wei Wei, Weifeng Han, Zhoutuo Wei, Xinmin Ge, Aliyu M. Aliyu
Summary: The study investigates the complex conductivity method for evaluating porous media containing gas hydrates through numerical modeling, proposing correlations between complex conductivity parameters and hydrate saturation. It demonstrates that a simple 2D model can effectively capture the complex conductivity characteristics and establish power-law relationships between conductivity and saturation for hydrate-saturation evaluation. The study also categorizes micro-distribution modes of hydrates in porous media and shows variations in conductivity under different distribution modes.
JOURNAL OF NATURAL GAS SCIENCE AND ENGINEERING
(2021)
Article
Construction & Building Technology
Aliyu M. Aliyu, Dharminder Singh, Chino Uzoka, Rakesh Mishra
Summary: This study compared the spread of respiratory droplets with and without masks through simulations. The results showed that wearing masks trapped over 96% of droplets within the recommended social distancing radius, while without masks, over 20% of droplets were airborne and transported to the second room. The models demonstrated an exponential decay of droplet concentration from the source, especially in mask-wearing scenarios.
JOURNAL OF BUILDING ENGINEERING
(2021)
Article
Energy & Fuels
Dharminder Singh, Matthew Charlton, Aliyu M. Aliyu, Rakesh Mishra
Summary: When designing control valves for multiphase applications, it is important to consider the non-uniformity of flow properties within the valve trim. The harmonised Cv method has been shown to be the most accurate sizing method for multiphase flow conditions. This study provides additional equations to improve the existing method and ensure compliance with local flow quality.
JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING
(2022)
Article
Green & Sustainable Science & Technology
Hamid Reza Karbasian, Javad Abolfazli Esfahani, Aliyu Musa Aliyu, Kyung Chun Kim
Summary: This study numerically investigates the kinematics of dynamic stall and found that the different movements of the blade with the same angle of attack can significantly affect the aerodynamic loads and dynamic stall process. The pure-pitching motion induces higher drag force on the airfoil compared to the pure-heaving motion, while the pure-heaving motion causes excessive turbulence in the boundary layer, leading to more stable coherent structures and higher lift at post-stall.
Article
Energy & Fuels
Salem K. Brini Ahmed, Aliyu M. Aliyu, Yahaya D. Baba, Mukhtar Abdulkadir, Rahil Omar Abdulhadi, Liyun Lao, Hoi Yeung
Summary: This article investigates the effects of gas injection position on the characteristics of downstream gas flow and provides valuable information for the design of downstream facilities.
Article
Mechanics
Aliyu M. Aliyu, Raihan Choudhury, Behnaz Sohani, John Atanbori, Joseph X. F. Ribeiro, Salem K. Brini Ahmed, Rakesh Mishra
Summary: The entrained droplet fraction is a crucial parameter in annular gas-liquid flows, allowing for more accurate calculation of pressure drop. Traditional experimental and correlation-based approaches have limited prediction range and discontinuities, while machine learning methods have shown promise in overcoming these limitations. An artificial neural network (ANN) model was proposed in this study, which demonstrated superior prediction performance compared to previous correlation-based models.
INTERNATIONAL JOURNAL OF MULTIPHASE FLOW
(2023)
Proceedings Paper
Computer Science, Artificial Intelligence
Musa Alhassan, Aliyu M. Aliyu, Rakesh Mishra, Naeem S. Mian
Summary: This study simulated the behavior of air in the indoor environment of a railway coach and found that without occupants, the incoming air had low velocity and maintained a constant speed until increasing at the outlet. With occupants, the incoming air spread wider and exited with a higher velocity due to reduced flow area caused by the occupants.
2021 INTERNATIONAL CONFERENCE ON MAINTENANCE AND INTELLIGENT ASSET MANAGEMENT (ICMIAM)
(2021)
Proceedings Paper
Computer Science, Artificial Intelligence
Ilyasu Anda, Rakesh Mishra, Aliyu M. Aliyu
Summary: Digital Twin (DT) is a cornerstone of the 4th industrial revolution, revolutionizing industrial processes through technologies such as IoT for better performance and safety. This paper focuses on identifying security vulnerabilities of DTs applied to the oil and gas industry and analyzing effective security frameworks to prevent economic losses.
2021 INTERNATIONAL CONFERENCE ON MAINTENANCE AND INTELLIGENT ASSET MANAGEMENT (ICMIAM)
(2021)
Proceedings Paper
Computer Science, Artificial Intelligence
Muhammad Atif, Aliyu Aliyu, Rakesh Mishra
Summary: Research found that the conventional way of adjusting the CRD to match the trailer height does not provide maximum fuel efficiency. There is not a fixed optimum position for the CRD, and it needs to be adjusted based on surrounding conditions, especially in strong crosswind situations where efficiency is greatly reduced. By adjusting the CRD to different optimum positions according to wind conditions, the study achieved an additional 7 to 13% fuel saving.
2021 INTERNATIONAL CONFERENCE ON MAINTENANCE AND INTELLIGENT ASSET MANAGEMENT (ICMIAM)
(2021)
Proceedings Paper
Computer Science, Artificial Intelligence
Qingyun Bu, Aliyu M. Aliyu, Rakesh Mishra
Summary: The research on Digital Twin technology for control valves is still emerging but essential, given the importance of valves in industries such as process, nuclear, and petroleum. Digital Twin technology allows for real-time data transmission, performance monitoring, and predicting remaining useful life in pipeline systems. Leveraging big data analytics and machine learning can improve performance prediction and safety of valve systems.
2021 INTERNATIONAL CONFERENCE ON MAINTENANCE AND INTELLIGENT ASSET MANAGEMENT (ICMIAM)
(2021)
