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Proceedings Paper

Modification method of numerical calculation of heat flux over dome based on turbulence models
Author(s): Daijun Zhang; Haibo Luo; Junchao Zhang; Xiangyue Zhang
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Paper Abstract

For the optical guidance system flying at low altitude and high speed, the calculation of turbulent convection heat transfer over its dome is the key to designing this kind of aircraft. RANS equations-based turbulence models are of high computation efficiency and their calculation accuracy can satisfy the engineering requirement. But for the calculation of the flow in the shock layer of strong entropy and pressure disturbances existence, especially of aerodynamic heat, some parameters in the RANS energy equation are necessary to be modified. In this paper, we applied turbulence models on the calculation of the heat flux over the dome of sphere-cone body at zero attack. Based on Billig’s results, the shape and position of detached shock were extracted in flow field using multi-block structured grid. The thermal conductivity of the inflow was set to kinetic theory model with respect to temperature. When compared with Klein’s engineering formula at the stagnation point, we found that the results of turbulent models were larger. By analysis, we found that the main reason of larger values was the interference from entropy layer to boundary layer. Then thermal conductivity of inflow was assigned a fixed value as equivalent thermal conductivity in order to compensate the overestimate of the turbulent kinetic energy. Based on the SST model, numerical experiments showed that the value of equivalent thermal conductivity was only related with the Mach number. The proposed modification approach of equivalent thermal conductivity for inflow in this paper could also be applied to other turbulence models.

Paper Details

Date Published: 1 November 2016
PDF: 7 pages
Proc. SPIE 10157, Infrared Technology and Applications, and Robot Sensing and Advanced Control, 101573D (1 November 2016); doi: 10.1117/12.2247371
Show Author Affiliations
Daijun Zhang, Shenyang Institute of Automation (China)
Univ. of Chinese Academy of Science (China)
Key Lab. of Optical-Electronics Information Processing (China)
Haibo Luo, Shenyang Institute of Automation (China)
Key Lab. of Optical-Electronics Information Processing (China)
Key Lab. of Image Understanding and Computer Vision (China)
Junchao Zhang, Shenyang Institute of Automation (China)
Univ. of Chinese Academy of Science (China)
Xiangyue Zhang, Shenyang Institute of Automation (China)
Univ. of Chinese Academy of Science (China)


Published in SPIE Proceedings Vol. 10157:
Infrared Technology and Applications, and Robot Sensing and Advanced Control

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