A5100630864- Thermodynamic and Exergetic Analyses of Power and Cooling Systems
- Advanced Thermodynamics and Statistical Mechanics
- Additive Manufacturing Materials and Processes
- High Entropy Alloys Studies
- Heat Transfer and Optimization
- Adsorption and Cooling Systems
- Refrigeration and Air Conditioning Technologies
- Solar Thermal and Photovoltaic Systems
- Microstructure and Mechanical Properties of Steels
- High-Temperature Coating Behaviors
- Heat Transfer and Boiling Studies
- High Temperature Alloys and Creep
- Mechanical Engineering and Vibrations Research
- Advanced materials and composites
- Heat Transfer Mechanisms
- Shape Memory Alloy Transformations
- Metallurgy and Material Forming
- Solar Energy Systems and Technologies
- Cellular and Composite Structures
- Iterative Learning Control Systems
- Advanced Sensor and Control Systems
- Welding Techniques and Residual Stresses
- Aluminum Alloys Composites Properties
- Heat transfer and supercritical fluids
- Advanced Algorithms and Applications
Shaanxi University of Science and Technology
2003-2025
Harbin University of Science and Technology
2021-2024
Sun Yat-sen University
2022-2024
Xi'an University of Architecture and Technology
2021-2024
Sinopec (China)
2024
Institute of New Materials
2023-2024
China Southern Power Grid (China)
2023
Heilongjiang University of Science and Technology
2020-2022
Heilongjiang University
2022
Fujian Institute of Oceanography
2022
A novel combined cycle system comprising of a supercritical CO2 (sCO2) and Kalina is proposed in this paper. Exergoeconomic comparison between the sCO2/Kalina sCO2 investigated. The exergoeconomic models are established, detailed parametric analyses conducted for both cycles to reveal influence selected decision variables on performance based self-build thermodynamic simulation platform. Besides, parameters systems optimized utilizing exergetic efficiency total product unit cost as objective...
Summary Polymer flooding in deep reservoir profile control presents challenges balancing injectivity and effective mobility control. To address this, we propose a solution by utilizing microencapsulated polymer that can be easily injected thickens over time. However, limited research has been conducted on the flow characteristics impact oil mobilization such agents. In this study, approximately simulated time-varying process of through in-situ triggered experiments at high temperature...
ABSTRACT This paper proposes an ejector‐expansion refrigeration cycle (EERC) with two evaporating temperatures to recover partial expansion work and greatly reduces the throttling loss of other valve connected evaporator compared conventional bievaporator (CBEC). Furthermore, R134a will be phased out due its high global warming potential, while mixture refrigerants R1234yf, R1234ze, R152a were considered as potential alternatives. The energy exergy analysis methods are used evaluate compare...
Herein, double slope solar still (DSSS) performance is accurately forecast with the aid of four different machine learning (ML) models, namely, artificial neural network (ANN), random forest (RF), support vector regression (SVR), and linear SVR. Furthermore, tuning ML models optimized using Bayesian optimization algorithm (BOA) to get optimal all identify best predictive one. All are trained, tested, validated depending on experimental data acquired under Egyptian climatic conditions. The...