Research Article

Transient heat conduction in tubes: dimensionless temperature profile under convective boundary conditions

Volume: 6 Number: 2 March 21, 2026

Transient heat conduction in tubes: dimensionless temperature profile under convective boundary conditions

Abstract

In this work three analytical solutions were developed for calculating transient conduction energy transfer in tubes, considering convection boundary conditions. For each configuration, 412 temperature distributions were calculated using both the approximate Heisler method (AHM) and the exact analytical models, employing different combinations of the , Bi, and Fo parameters. The models were calibrated for a range of inner-to-outer radius ratios  between 0.2 and 0.8, and for Fourier (Fo) and Biot (Bi) numbers ranging from 0.05 to 50 and 0.005 to 50, respectively.. Comparative evaluation, based on 1972 computational simulations, revealed that the AHM method agrees with the analytical solutions in a interval range of ±10% and ±20% of deviation in the 71.3% and 91.2% of the combinations computed, respectively. Among the cases evaluated, Case 2 showed the best degree of agreement, with mean deviations of ±10% and ±20% in 87.4% and 97.5% of the data, respectively. Conversely, Case 3 presented the weaker fit, reaching those same deviation ranges for 68.3% and 91.2% of the data used. At the individual parameter level, the  provided the optimal fit in Case 1, with 89.4% and 98.1% of the data within the margins of ±10% and ±20%, respectively. While, the weaker fit was found for  in Case 1, with 41.3% and 75.8%, of the data within the margins of ±10% and ±20%, respectively.

Keywords

References

  1. 1. Zhuo, M. (2021). FE2 multi-scale framework for the two-equation model of transient heat conduction in two-phase media. International Journal of Heat and Mass Transfer, 179, 121683. https://doi.org/10.1016/j.ijheatmasstransfer.2021.121683
  2. 2. Zhang, L., & Zheng, H. (2023). MLS-based numerical manifold method based on IPIM for 3D transient heat conduction of FGMs. International Journal of Heat and Mass Transfer, 217, 124704. https://doi.org/10.1016/j.ijheatmasstransfer.2023.124704
  3. 3. Zhou, L., Lv, J., Cui, M., Peng, H., & Gao, X. (2023). A polygonal element differential method for solving two-dimensional transient nonlinear heat conduction problems. Engineering Analysis with Boundary Elements, 146, 448-459. https://doi.org/10.1016/j.enganabound.2022.10.015
  4. 4. Zhang, Y., Rabczuk, T., Lu, J., Lin, S., & Lin, J. (2022). Space-time backward substitution method for nonlinear transient heat conduction problems in functionally graded materials. Computers & Mathematics With Applications, 124, 98-110. https://doi.org/10.1016/j.camwa.2022.08.026
  5. 5. Zhang, Z., Doner, N., Long, Y., & Lou, C. (2023). Entropy and exergy analysis of coupled radiative heat transfer and heat conduction: A new thermodynamics approach. International Journal of Heat and Mass Transfer, 215, 124485. https://doi.org/10.1016/j.ijheatmasstransfer.2023.124485
  6. 6. Zhang, L., Kong, H., & Zheng, H. (2024). Numerical manifold method for steady-state nonlinear heat conduction using Kirchhoff transformation. Science China Technological Sciences, 67(4), 992-1006. https://doi.org/10.1007/s11431-022-2389-8
  7. 7. Wu, S., Zhang, Y., & Liu, S. (2021). Transient thermal dissipation efficiency based method for topology optimization of transient heat conduction structures. International Journal of Heat and Mass Transfer, 170, 121004. https://doi.org/10.1016/j.ijheatmasstransfer.2021.121004
  8. 8. Xu, D., Zheng, X., An, D., Zhou, C., Huang, X., & Li, R. (2022). New analytic solutions to 2D transient heat conduction problems with/without heat sources in the symplectic space. Applied Mathematics and Mechanics, 43(13), 1233-1248. https://doi.org/10.1007/s10483-022-2891-6

Details

Primary Language

English

Subjects

Experimental Methods in Fluid Flow, Heat and Mass Transfer

Journal Section

Research Article

Publication Date

March 21, 2026

Submission Date

December 26, 2025

Acceptance Date

March 15, 2026

Published in Issue

Year 2026 Volume: 6 Number: 2

APA
Camaraza-Medina, Y. (2026). Transient heat conduction in tubes: dimensionless temperature profile under convective boundary conditions. Engineering Perspective, 6(2), 233-240. https://doi.org/10.64808/engineeringperspective.1849978
AMA
1.Camaraza-Medina Y. Transient heat conduction in tubes: dimensionless temperature profile under convective boundary conditions. engineeringperspective. 2026;6(2):233-240. doi:10.64808/engineeringperspective.1849978
Chicago
Camaraza-Medina, Yanan. 2026. “Transient Heat Conduction in Tubes: Dimensionless Temperature Profile under Convective Boundary Conditions”. Engineering Perspective 6 (2): 233-40. https://doi.org/10.64808/engineeringperspective.1849978.
EndNote
Camaraza-Medina Y (March 1, 2026) Transient heat conduction in tubes: dimensionless temperature profile under convective boundary conditions. Engineering Perspective 6 2 233–240.
IEEE
[1]Y. Camaraza-Medina, “Transient heat conduction in tubes: dimensionless temperature profile under convective boundary conditions”, engineeringperspective, vol. 6, no. 2, pp. 233–240, Mar. 2026, doi: 10.64808/engineeringperspective.1849978.
ISNAD
Camaraza-Medina, Yanan. “Transient Heat Conduction in Tubes: Dimensionless Temperature Profile under Convective Boundary Conditions”. Engineering Perspective 6/2 (March 1, 2026): 233-240. https://doi.org/10.64808/engineeringperspective.1849978.
JAMA
1.Camaraza-Medina Y. Transient heat conduction in tubes: dimensionless temperature profile under convective boundary conditions. engineeringperspective. 2026;6:233–240.
MLA
Camaraza-Medina, Yanan. “Transient Heat Conduction in Tubes: Dimensionless Temperature Profile under Convective Boundary Conditions”. Engineering Perspective, vol. 6, no. 2, Mar. 2026, pp. 233-40, doi:10.64808/engineeringperspective.1849978.
Vancouver
1.Yanan Camaraza-Medina. Transient heat conduction in tubes: dimensionless temperature profile under convective boundary conditions. engineeringperspective. 2026 Mar. 1;6(2):233-40. doi:10.64808/engineeringperspective.1849978

download?token=eyJhdXRoX3JvbGVzIjpbXSwiZW5kcG9pbnQiOiJqb3VybmFsIiwib3JpZ2luYWxuYW1lIjoiQ2l0ZVNjb3JlMjAyNF9FbmdpbmVlcmluZ19QZXJzcGVjdC5wbmciLCJwYXRoIjoiZjQ5MS9kN2QzLzViMDYvNjlkNzRiZWUwYmExYTcuODAzMTEyNjkucG5nIiwiZXhwIjoxNzc1NzIwOTU4LCJub25jZSI6IjkyMWY0MTE1YjMzZTc0NDdkNDRiMmRmMmM2YTQ1MGI1In0.j7yLFVD_8YWwjGP4Oj-L3qHjk8em4BbumM9vcbW0598