Verified Experiment: Intelligent Fuzzy Weighted Input Estimation Method to Inverse Heat Conduction Problem
Commenced in January 2007
Frequency: Monthly
Edition: International
Paper Count: 32804
Verified Experiment: Intelligent Fuzzy Weighted Input Estimation Method to Inverse Heat Conduction Problem

Authors: Chen-Yu Wang, Tsung-Chien Chen, Ming-Hui Lee, Jen-Feng Huang

Abstract:

In this paper, the innovative intelligent fuzzy weighted input estimation method (FWIEM) can be applied to the inverse heat transfer conduction problem (IHCP) to estimate the unknown time-varying heat flux efficiently as presented. The feasibility of this method can be verified by adopting the temperature measurement experiment. We would like to focus attention on the heat flux estimation to three kinds of samples (Copper, Iron and Steel/AISI 304) with the same 3mm thickness. The temperature measurements are then regarded as the inputs into the FWIEM to estimate the heat flux. The experiment results show that the proposed algorithm can estimate the unknown time-varying heat flux on-line.

Keywords: Fuzzy Weighted Input Estimation Method, IHCP andHeat Flux.

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1078305

Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 1492

References:


[1] Huang, C. H. and Wang, Y. C., "Inverse Problem of Controlling the Interface Velocity in Stefan Problems by Conjugate Gradient Method," Journal Chinese Institute Engineers, Vol. 19, No. 2, pp. 247-253, 1996.
[2] Huang, C. H. and Ozisik, M. N., "Inverse Problem of Determining Unknown Wall Heat Flux in Laminar Flow Through a Parallel Plat Duct," Numerical Heat Transfer, Part A, Vol. 21, pp. 55-70, 1992.
[3] Li, H. Y. and Yan, W. M., "Inverse Convection Problem for Determining Wall Heat Flux in Annular Duct Flow," Journal of Heat Transfer Transactions of the ASME, Vol. 122, pp. 460-464, 2000.
[4] T. C. Chen and S. J. Hsu, "Heat-Dissipating Control of Electronic Devices Using a Combination of Adaptive Input Estimation Method and Linear Quadratic Gaussian Problem," Inverse Problems in Science and Engineering, Vol. 17, No.2, pp. 213-227, March 2009.
[5] Tuan, P. C., Fong, L. W. and Huang, W. T., "Analysis of On-Line Inverse Heat Conduction Problems," Journal of Chung Cheng Institute of Technology ,25(1),pp.59-73,1996.
[6] Kalman R. E., "a New Approach to Linear Filtering and Prediction Problems," ASME Journal of Basic Engineering, Series 2D,pp.35-45, 1960.
[7] Tuan, P. C. and Hou, W. T., "The Adaptive Robust Weighting Input Estimation for 1-D Inverse Heat Conduction Problem," Numerical Heat Transfer, Part B, Vol.34, pp. 439-456, 1998.
[8] Tuan, P. C., and Hou, W. T., "Adaptive Robust Weighting Input Estimation Method for the 1-D Inverse Heat Conduction Problem," Numerical Heat Transfer, Part B, Vol. 34, pp. 1-18 (1998).
[9] Gao, F. S., Qiu, W. J., Liang, S. C., and Sun, L.,"Study on the Gun Tube Life Prediction," Journalof Nanjing University of Science and Technology,Vol.21, No.3, Jun (1997).
[10] Chen, T. C., Hsu, S. J., "A Study of the Gun Barrel Temperature Measurement and Heat Flux Estimation Using Non-destruction Ballistic Experimental Method," JOURNAL OF EXPLOSIVES AND PROPELLANTS, R.O.C., Vol.22, No.2, p20-21, 2006.
[11] T. C. Chen and M. H. Lee "Intelligent Fuzzy Weighted Input Estimation Method Applied to Inverse Heat Conduction Problems," International Journal of Heat and Mass Transfer, Vol.51 , pp. 4168-4183, July 2008.
[12] M. H. Lee, T. C. Chen, T. P. Yu, and H. Y. Jang, "The Study of the Intelligent Fuzzy Weighted Input Estimation Method Combined With the Experiment Verification for the Multilayer Materials," World Academy of Science, Engineering and Technology ,Vol. 53, pp. 113-122, 2009.