Abstract
This work addresses an inverse heat conduction problem (IHCP) in a large planar slab receiving a certain heat flux at one surface while the other surface is thermally insulated. The two different heating conditions to be studied are: (1) constant heat flux and (2) a time-dependent triangular heat flux. For the IHCP, the temperature–time variations at the insulated surface of the large planar slab are obtained with a single temperature sensor. The two temperature–time histories are generated from the solutions of the direct heat conduction problem. The central objective of the paper is to implement the method of lines for the descriptive 1-D heat equation combined with numerical differentiation of: (1) the “measured” temperature–time history at the insulated surface and (2) the temperature–time history at other sub-surface locations. In the end, it is confirmed that excellent predictions of the temperature–time variations at the directly heated surface are obtainable for the two dissimilar heating conditions. This is accomplished with small systems of first-order differential-difference equations, one with two equations and the other with four equations.
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Notes
There are two possible options: one is the forward difference formulation with truncation error of order Δτ continually, and the other is to start with the forward difference formulation with truncation error of order Δτ and immediately switch to the central difference formulation with truncation error of order (Δτ)2 [28].
Abbreviations
- c v :
-
Specific heat at constant volume (J/(kg °C))
- k :
-
Thermal conductivity (W/m °C)
- L :
-
Thickness of large planar slab (m)
- q N :
-
Nominal surface heat flux in Eq. (19) (W/m2)
- q R :
-
Surface heat flux ratio in Eq. (19)
- q s :
-
Surface heat flux (W/m2)
- t :
-
Time (s)
- T :
-
Temperature (°C)
- T e :
-
Equivalent temperature, q s L/k (°C)
- T m,i :
-
“Measured” temperature at the location xm and time ti (°C)
- T s :
-
Surface temperature (°C)
- T 0 :
-
Initial temperature (°C)
- x:
-
Space coordinate (m)
- X:
-
Dimensionless space coordinate, \( \frac{x}{L} \)
- α:
-
Thermal diffusivity, \( \frac{k}{\rho \,c} \) (m2/s)
- \( \phi \) :
-
Dimensionless temperature, \( \frac{{T - T_{0} }}{{q_{s} L/k}} \) and \( \frac{{T - T_{0} }}{{q_{N} L/k}} \)
- ρ:
-
Density (kg/m3)
- τ:
-
Dimensionless time or Fourier number, \( \frac{t}{{L^{2} /\alpha }} \)
References
Arpaci VS (1966) Conduction heat transfer. Addison-Wesley, Reading
Poulikakos D (1994) Conduction heat transfer. Prentice Hall, Upper Saddle River
Beck JV, Blackwell B, St CR (1985) Clair, inverse heat conduction: ill-posed problems. Wiley Interscience, New York
Özisik MN, Orlande HRB (2000) Inverse heat transfer. Taylor & Francis, New York
Burgrraf OR (1964) An exact solution of the inverse problem in heat conduction theory and applications. J Heat Transf 86C:373–382
Murio DA (1993) The mollification method and the numerical solution of ill-posed problems. Wiley, New York
Beck JV, Blackwell B (1988) Inverse problems. In: Minkowycz WJ, Sparrow EM, Schneider GE, Pletcher RH (eds) Handbook of numerical heat transfer, chapter 19. Wiley, New York
Maciag A, Al-Khatib JM (2000) Stability of solutions of the overdetermined inverse heat conduction problems when discretized with respect to time. Int J Numer Meth Heat Fluid Flow 10:228–244
Ling X, Atluri SN (2006) Stability analysis for inverse heat conduction problems. Comput Model Eng Sci 13:219–228
Stolz G (1960) Numerical solutions to an inverse problem of heat conduction for simple shapes. J Heat Transf 82:20–26
Hore PS, Kruttz GW, Schoenhals RJ (1977) Application of the finite element method to the inverse heat conduction problem. ASME Paper, No. 77-WA/TM-4
Deng S, Hwang Y (2006) Applying neural networks to the solution of forward and inverse heat conduction problems. Int J Heat Mass Transf 49:4732–4750
Shidfar A, Molabahrami A (2010) A weighted algorithm based on the homotopy analysis method: application to inverse heat conduction problems. Commun Nonlinear Sci Numer Simul 15:2908–2915
Singh KM, Tanaka M (2001) Dual reciprocity boundary element analysis of inverse heat conduction problems. Comput Methods Appl Mech Eng 190:5283–5295
Vakili S, Gadala MS (2009) Effectiveness and efficiency of particle swarm optimization technique in inverse heat conduction analysis. Numer Heat Transf Part B Fundam 56:119–141
Narayanan VAB, Zabaras N (2004) Stochastic inverse heat conduction using a spectral approach. Int J Numer Meth Eng 60:1569–1593
Feng ZC, Chen JK, Zhang Y (2010) Real-time solution of heat conduction in a finite slab for inverse analysis. Int J Therm Sci 49:762–768
Zueco J, Alhama F, González-Fernández CF (2004) Numerical inverse problem of determining wall heat flux. Heat Mass Transf 41:411–418
Eldén L (1995) Numerical solution of the sideways heat equation by difference approximation in time. Inverse Prob 11:913–923
Taler J, Duda P (2001) Solution of non-linear inverse heat conduction problems using the method of lines. Heat Mass Transf 37:147–155
Liskovets OA (1965) The method of lines, review (in Russian). Differenzial’nie Uravneniya 1:1662–1668. English translation: Differential Equations 1:1308–1323
Sarmin EN, Chudov LA (1963) On the stability of the numerical integration of systems of ordinary differential equations arising in the use of the straight line method. USSR Comput Math Math Phys 3:1537–1543
Zafarullah A (1970) Application of the method of lines to parabolic partial differential equations with error estimates. J Assoc Comput Mach 17:294–302
Verwer JG, Sanz-Serna JM (1984) Convergence of method of lines approximations to partial differential equations. Computing 33:297–313
Wouwer AV, Saucez P, Schiesser E (2001) Adaptive method of lines. Chapman & Hall/CRC, Boca Raton
Campo A, Salazar AJ (1996) Matching solutions for unsteady conduction in simple bodies with surface heat fluxes. J Thermophys Heat Transf 10:699–701
Chapra SC, Canale RP (2009) Numerical methods for engineers, 6th edn. McGraw-Hill, New York
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Campo, A., Salimpour, M.R. & Ho, J. The method of lines with numerical differentiation of the sequential temperature–time histories for a facile solution of 1-D inverse heat conduction problems. Heat Mass Transfer 49, 369–379 (2013). https://doi.org/10.1007/s00231-012-1088-5
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DOI: https://doi.org/10.1007/s00231-012-1088-5