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Vol. 43 No. 1 (2018)
Original articles

Development of a self-optimizing baking system

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  • Lucijano Berus,
  • Simon Klancnik,
  • Timi Karner,
  • Mirko Ficko
Lucijano Berus
University of Maribor, Faculty of Mechanical Engineering
Simon Klancnik
University of Maribor, Faculty of Mechanical Engineering
Timi Karner
University of Maribor, Faculty of Mechanical Engineering
Mirko Ficko
University of Maribor, Faculty of Mechanical Engineering
DOI: https://doi.org/10.24867/ATM-2018-1-006

Published 2023-09-30

abstract views: 18 // Full text article (PDF): 14


Keywords

  • oven,
  • temperature monitoring,
  • particle swarm optimization algorithm,
  • latin hypercube sampling

How to Cite

[1]
L. Berus, S. Klancnik, T. Karner, and M. Ficko, “Development of a self-optimizing baking system”, Adv Techn Mat, vol. 43, no. 1, pp. 24–32, Sep. 2023.
Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

Abstract

This study focuses on designing a protocol for optimization of temperature variances inside heating device. Protocol consists of two major parts. First one is the protocol for monitoring temperature distributions and managing heat sources inside an oven. Second part is the optimization scheme, responsible for minimizing the distribution of temperature. Thermocouple J-type sensors are distributed on horizontal plane inside an oven. Digitally operated relay module switch enables heaters manipulation by pulse-width modulation (PWM) signal. Monitoring and operating of the system components is enabled by to data acquisition (DAQ) device and PC, performing the optimization with Particle swarm optimization algorithm. PSO objective function represented as maximum temperature difference recorded by sensors inside heating device is optimized. Included safety protocol serves as an off-switch if temperature inside the oven reaches critical level.

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