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The Discrepancy in the Prediction of Surface Temperatures by Inverse Heat Conduction Models for Different Quenching Processes from Very High Initial Surface Temperature
Inverse Problems in Science and Engineering
  • A. R. Pati
  • N. H. Bhatt
  • L. Das
  • S. Teja
  • S. Nayak
  • Aditya Kumar, Missouri University of Science and Technology
  • For full list of authors, see publisher's website., For full list of authors, see publisher's website.
Abstract

In the current work, an attempt has been made to study the effect of different parameters on the accuracy of the prediction at a very high initial surface temperature by developing two different heat conduction models. The result depicts that MSSE (minimum sum squared error) in the prediction decreases with increasing number of sensors used in the prediction. The accuracy of the prediction enhances with decreasing plate thickness and distance between the thermocouple and quenched surface. Up to a cooling rate of 60 K/s, the selection of model dimension (1-D or 2-D) does not affect, but beyond the previously mentioned cooling rate, 2-D model induces less error than 1-D. Moreover, the inclusion of thermo-physical properties in the model reduces the error in the MSSE. By using Box—Behnken methodology, the optimum conditions (d/D = 0.81, n/Y = 0.5 and Y*/Y = 0.65) for the least MSSE have also been determined.

Department(s)
Materials Science and Engineering
Keywords and Phrases
  • 65L09,
  • INTEMP,
  • inverse heat conduction,
  • MSSE,
  • sensor,
  • Surface temperature,
  • thermo-physical
Document Type
Article - Journal
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2019 Taylor & Francis Ltd., All rights reserved.
Publication Date
6-1-2019
Citation Information
A. R. Pati, N. H. Bhatt, L. Das, S. Teja, et al.. "The Discrepancy in the Prediction of Surface Temperatures by Inverse Heat Conduction Models for Different Quenching Processes from Very High Initial Surface Temperature" Inverse Problems in Science and Engineering Vol. 27 Iss. 6 (2019) p. 808 - 835 ISSN: 1741-5977; 1741-5985
Available at: http://works.bepress.com/aditya-kumar/57/