Prediction of surface heating effect on non-equilibrium homogeneous condensation in supersonic nozzle using CFD method
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Yi Man
Abstract
To get better industrial equipment, one must understand the different phenomena within a machine. Non-equilibrium condensation is one of the natural phenomena happening in the process, thereby affecting flow behavior; the concept is vital in the understanding and optimizing machinery applied in industries. The present investigation focuses on the surface heating method, more precisely using the constant heat flux in the context of NEC inside a supersonic nozzle. The results indicate that the heat flux method can delay the droplet nucleation and growth inside the nozzle. However, this should be considered to a limit due to the raise of temperature at the nozzle wall. The rise in heat flux has reduced the Liquid Mass Fraction (LMF) within the nozzle. The LMF at the nozzle outlet and center line is determined to be 0.075, 0.072, and 0.068 for the adiabatic condition, 200 kW/m2 flux, and 400 kW/m2 flux, respectively. The heat flux also influences the flow pattern. With an increase in heat flux, the condensation shock wave is shifted downstream, decreasing its intensity.
Funding source: the Jiangsu Wind Power Engineering Technology Center Open Fund
Award Identifier / Grant number: ZK 19-03-13
Acknowledgments
I would like to take this opportunity to acknowledge that there are no individuals or organizations that require acknowledgment for their contributions to this work.
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Research ethics: Research involving Human Participants and Animals: The observational study conducted on medical staff needs no ethical code. Therefore, the above study was not required to acquire an ethical code.
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Informed consent: This option is not necessary due to that the data were collected from the references.
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Author contributions: The author contributed to the study’s conception and design. “Data collection, simulation and analysis were performed by Yi Man”. Also the first draft of the manuscript was written by Yi Man commented on previous versions of the manuscript.
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Use of Large Language Models, AI and Machine Learning Tools: During the preparation of this work, the authors used ChatGPT by OpenAI and Grammarly in order to assist with language refinement and ensure clarity and coherence in the manuscript, and perform grammar and spell checks. After using these tools/services, the authors reviewed and edited the content as needed and take full responsibility for the content of the published article.
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Conflict of interest: The author declares no competing interests.
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Research funding: The funding for this project was provided by the Jiangsu Wind Power Engineering Technology Center Open Fund (Grant No. ZK 19-03-13).
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Data availability: Data can be shared upon request.
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Artikel in diesem Heft
- Frontmatter
- Research Articles
- Comparative study of deterministic and stochastic optimization algorithms applied to the absorption of CO2 by alkanolamine solution
- Modeling the kinetics, energy consumption and shrinkage of avocado pear pulp during drying in a microwave assisted dryer
- Study of municipal solid waste treatment using plasma gasification by application of Aspen Plus
- Numerical analysis of segregation of microcrystalline cellulose powders from a flat bottom silo with various orifice positions
- Prediction of syngas production in the gasification process of biomass employing adaptive neuro-fuzzy inference system along with meta-heuristic algorithms
- Industrial high saline water desalination by activated carbon in a packed column- an experimental and CFD study
- Dual-loop PID control strategy for ramp tracking and ramp disturbance handling for unstable CSTRs
- A control perspective on hybrid membrane/distillation propane/propylene separation process
- Prediction of surface heating effect on non-equilibrium homogeneous condensation in supersonic nozzle using CFD method
- Modeling the emitted carbon dioxide and monoxide gases in the gasification process using optimized hybrid machine learning models
Artikel in diesem Heft
- Frontmatter
- Research Articles
- Comparative study of deterministic and stochastic optimization algorithms applied to the absorption of CO2 by alkanolamine solution
- Modeling the kinetics, energy consumption and shrinkage of avocado pear pulp during drying in a microwave assisted dryer
- Study of municipal solid waste treatment using plasma gasification by application of Aspen Plus
- Numerical analysis of segregation of microcrystalline cellulose powders from a flat bottom silo with various orifice positions
- Prediction of syngas production in the gasification process of biomass employing adaptive neuro-fuzzy inference system along with meta-heuristic algorithms
- Industrial high saline water desalination by activated carbon in a packed column- an experimental and CFD study
- Dual-loop PID control strategy for ramp tracking and ramp disturbance handling for unstable CSTRs
- A control perspective on hybrid membrane/distillation propane/propylene separation process
- Prediction of surface heating effect on non-equilibrium homogeneous condensation in supersonic nozzle using CFD method
- Modeling the emitted carbon dioxide and monoxide gases in the gasification process using optimized hybrid machine learning models
