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Articles

Real-time identification of a high-magnitude boundary heat flux on a plate

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Pages 1661-1679 | Received 06 Aug 2015, Accepted 22 Mar 2016, Published online: 14 Jun 2016

Figures & data

Figure 1. Geometry of the physical domain.

Figure 1. Geometry of the physical domain.

Table 1. Parameters of the heat flux used for case#1.

Figure 2. Case#1 (a) synthetic measurements and (b) exact heat flux at t=2.0 s.

Figure 2. Case#1 (a) synthetic measurements and (b) exact heat flux at t=2.0 s.

Figure 3. Case#1 estimates at t=2.0 s using the classical lumped analysis: (a) temperature and (b) heat flux.

Figure 3. Case#1 estimates at t=2.0 s using the classical lumped analysis: (a) temperature and (b) heat flux.

Figure 4. Case#1 time evolution of temperature at z = 0 (a) and heat flux (b) at the selected control volume using the classical lumped analysis.

Figure 4. Case#1 time evolution of temperature at z = 0 (a) and heat flux (b) at the selected control volume using the classical lumped analysis.

Figure 5. Case#1 analysis of the residuals from classical lumped analysis with heat flux 107 W m-2: (a) spatial distribution at t=2.0 s and (b) time evolution at the selected control volume.

Figure 5. Case#1 analysis of the residuals from classical lumped analysis with heat flux 107 W m-2: (a) spatial distribution at t=2.0 s and (b) time evolution at the selected control volume.

Figure 6. Case#1 estimates at t=2.0 s using the improved lumped analysis: (a) temperature and (b) heat flux.

Figure 6. Case#1 estimates at t=2.0 s using the improved lumped analysis: (a) temperature and (b) heat flux.

Table 2. Parameters of the heat flux used in the simulation of measurements for Case#2.

Figure 7. Case#1 time evolution of temperature at z=0 (a) and heat flux (b) at the selected control volume using the improved lumped analysis.

Figure 7. Case#1 time evolution of temperature at z=0 (a) and heat flux (b) at the selected control volume using the improved lumped analysis.

Figure 8. Case#1 analysis of the residuals from improved lumped analysis with unsteady heat flux applied at z=c: (a) spatial distribution at t=2.0 s and (b) time evolution at the selected control volume.

Figure 8. Case#1 analysis of the residuals from improved lumped analysis with unsteady heat flux applied at z=c: (a) spatial distribution at t=2.0 s and (b) time evolution at the selected control volume.

Figure 9. Case#2: (a) synthetic measurements and (b) exact heat flux at t=2.0 s.

Figure 9. Case#2: (a) synthetic measurements and (b) exact heat flux at t=2.0 s.

Figure 10. Case#2 estimates at t=2.0 s using the classical lumped analysis: (a) temperatures and (b) heat flux.

Figure 10. Case#2 estimates at t=2.0 s using the classical lumped analysis: (a) temperatures and (b) heat flux.

Figure 11. Case#2 time evolution of temperature at z=0 (a) and heat flux (b) at the selected control volume at x=y=40 mm using the classical lumped analysis.

Figure 11. Case#2 time evolution of temperature at z=0 (a) and heat flux (b) at the selected control volume at x=y=40 mm using the classical lumped analysis.

Figure 12. Case#2 time evolution of temperature at z=0 (a) and heat flux (b) at the selected control volume at x=y=95 mm using the classical lumped analysis.

Figure 12. Case#2 time evolution of temperature at z=0 (a) and heat flux (b) at the selected control volume at x=y=95 mm using the classical lumped analysis.

Figure 13. Case#2 time evolution of the residuals from classical lumped analysis: (a) x=y=40 mm and (b) x=y=95 mm.

Figure 13. Case#2 time evolution of the residuals from classical lumped analysis: (a) x=y=40 mm and (b) x=y=95 mm.

Figure 14. Case#2 spatial distribution of the residuals from classical lumped analysis: (a) t=0.9 s and (b) t=2.0 s.

Figure 14. Case#2 spatial distribution of the residuals from classical lumped analysis: (a) t=0.9 s and (b) t=2.0 s.

Figure 15. Case#2 estimates at t=2.0 s using the improved lumped analysis: (a) temperatures and (b) heat flux.

Figure 15. Case#2 estimates at t=2.0 s using the improved lumped analysis: (a) temperatures and (b) heat flux.

Figure 16. Case#2 time evolution of temperature at z=0 (a) and heat flux (b) at the selected control volume at x=y=40 mm using the improved lumped analysis.

Figure 16. Case#2 time evolution of temperature at z=0 (a) and heat flux (b) at the selected control volume at x=y=40 mm using the improved lumped analysis.

Figure 17. Case#2 time evolution of temperature at z=0 (a) and heat flux (b) at the selected control volume at x=y=95 mm using the improved lumped analysis.

Figure 17. Case#2 time evolution of temperature at z=0 (a) and heat flux (b) at the selected control volume at x=y=95 mm using the improved lumped analysis.

Figure 18. Case#2 time evolution of the residuals from improved lumped analysis: (a) x=y=40 mm and (b) x=y=95 mm.

Figure 18. Case#2 time evolution of the residuals from improved lumped analysis: (a) x=y=40 mm and (b) x=y=95 mm.

Figure 19. Case#2 spatial distribution of the residuals from classical lumped analysis: (a) t=0.9 s and (b) t=2.0 s.

Figure 19. Case#2 spatial distribution of the residuals from classical lumped analysis: (a) t=0.9 s and (b) t=2.0 s.

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