A case study investigation into the effects of spatially dependent convection coefficients on the fatigue response of a power plant header component

ROUSE, J.P, ZACHARZEWSKI, P, HYDE, C.J, JEFFERSON-LOVEDAY, R, MORRIS, A and KYAW, Si (2018). A case study investigation into the effects of spatially dependent convection coefficients on the fatigue response of a power plant header component. International Journal of Fatigue, 113, 137-148.

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Abstract

Societal and environmental pressures are forcing thermal power plant operators to deviate greatly from the generation strategies of the past. The application of high frequency start up/shut down/partial load cycles to components that may well be outside their design life makes research into the long-term integrity of at risk assets paramount. Decoupled thermal/mechanical analyses have been used in the literature to estimate anisothermal fatigue in header components, with convective boundary conditions typically assumed for internal surfaces in order to determine heat fluxes and hence a temperature field. In reality, convective coefficients are heavily dependent upon local velocity profiles. In the present work, computational fluid dynamics is used in order to better approximate the steam flow in a real power plant header, leading to a convection coefficient field that is used to solve the thermal problem. Anisothermal fatigue analysis is finally conducted using a Chaboche type model. The results of computational fluid dynamics have illustrated that heat transfer coefficient values can vary (spatially) by a factor of 5.49 over the internal header wall, with noticeable hot spots in the wake of the stub penetrations. Peak differences of 6.47% in accumulated plastic strain levels have been observed between simulations conducted with constant (simplified) and variable (computational fluid dynamics derived) thermal boundary conditions.

Item Type:	Article
Research Institute, Centre or Group - Does NOT include content added after October 2018:	Materials and Engineering Research Institute > Engineering Research
Departments - Does NOT include content added after October 2018:	Faculty of Science, Technology and Arts > Department of Engineering and Mathematics
Identification Number:	https://doi.org/10.1016/j.ijfatigue.2018.03.032
Page Range:	137-148
Depositing User:	Si Kyaw
Date Deposited:	30 Apr 2018 13:45
Last Modified:	18 Mar 2021 15:05
URI:	https://shura.shu.ac.uk/id/eprint/19148

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