Advanced Technologies and Materials

Lorem ipsum dolor sit amet, consectetur adipisicing elit, sed do eiusmod tempor incididunt ut ero labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco.

GUIDE FOR AUTHORS SUBMIT MANUSCRIPT
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

abstract views: 9 // Full text article (PDF): 6


Keywords

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

How to Cite

Berus, L., Klancnik, S., Karner, T., & Ficko, M. (2023). Development of a self-optimizing baking system. Advanced Technologies and Materials, 43(1), 24–32. https://doi.org/10.24867/ATM-2018-1-006

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.

PlumX Metrics

Dimensions Citation Metrics