Issue |
E3S Web Conf.
Volume 112, 2019
8th International Conference on Thermal Equipment, Renewable Energy and Rural Development (TE-RE-RD 2019)
|
|
---|---|---|
Article Number | 01008 | |
Number of page(s) | 9 | |
Section | Thermal Equipments and Processes | |
DOI | https://doi.org/10.1051/e3sconf/201911201008 | |
Published online | 20 August 2019 |
CFD simulation of forced heat transfer of gas in pipe
1
University of Ruse, Department of Thermotechnics, Hydraulics and Engineering Ecology, 7017 Ruse, Bulgaria
2
University of Ruse, Department of Electronics, 7017 Ruse, Bulgaria
This paper presents results from CFD simulation of heat transfer processes in ABAQUS. The investigations are realized at forced convection of air in steel pipe. Verification of the computing mesh and validation of the model, have been done. The average heat convection coefficients have been determined by methodology based on criteria equations, and on simulation methodology. Heat transfer processes between air flow in a steel pipe and the environment, have been experimentally accomplished. In order to analyze the processes of heat convection between the fluid and the internal surface of the pipe, numerical modelling is applied. A geometric model of the fluid flowing in the pipe is built. The computing mesh has been verified by increasing the number of cells and nodes. The numerical model has been validated based on experimentally measured temperature values and the simulation data. The heat convection coefficients have been investigated by analogy of the above. The results demonstrate that the numerical model is adequate and can be used to study similar heat transfer processes.
© The Authors, published by EDP Sciences, 2019
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.