Temperature estimation for a point of an infrared dryer using temperature of neighbouring points: An artificial neural network approach

Morteza Mohammadzaheri, Ali Firoozfar, Dalileh Mehrabi, Mohammadreza Emadi, Abdullah Alqallaf*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)


This paper aims at introduction, design, and validation of a temperature estimation algorithm for an infrared dryer. The proposed algorithm estimates the temperature at one or some points in a thermal system (e.g., an infrared dryer) based on the measured temperature at a number of other points. In this research, the designed algorithm estimates the temperature of a single point; however, the methodology can be evidently extended to multiple points. Inspired by direct and inverse heat transfer models, a mathematical model is presented for this purpose. This model is developed and identified using artificial neural network (ANN) technique and laboratory experimental data. The proposed method exhibits excellent accuracy with no need to thermo-physical properties of the system.

Original languageEnglish
Pages (from-to)138-150
Number of pages13
JournalJournal of Engineering Research (Kuwait)
Issue number4
Publication statusPublished - 2019
Externally publishedYes


  • Artificial neural network
  • Infrared dryer
  • Radiation 2
  • Temperature estimation

ASJC Scopus subject areas

  • Engineering(all)

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