Advanced Technologies and Materials

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Vol. 43 No. 1 (2018)
Original articles

Development of a self-optimizing baking system

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

Published 2023-09-30

Keywords

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

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.