Affiliation:
1. School of Engineering and Technology, Vinh University, Vinh City 43108, Vietnam
Abstract
This research focuses on developing an adaptive fuzzy-neural control system to manage and maintain temperature in brick tunnel kilns. The problem is how to optimize performance and energy consumption in the brick production process. A control algorithm using a combination of a fuzzy logic system and neural network is proposed to automatically adjust temperature parameters, optimize production efficiency, and reduce energy consumption. Simulation and experimental results demonstrate the outstanding performance of the presented system, with significant improvements in energy efficiency and product quality compared to traditional control methods. Moreover, the obtained results exhibit the potential for wide application of the adaptive neuro-fuzzy control method in academic study or industrial production processes.
Reference32 articles.
1. Energy efficient brick kilns for sustainable environment;Darain;Desalination Water Treat.,2015
2. Transient thermal behavior in brick tunnel kiln with guide vanes: Experimental study;Refaey;Case Stud. Therm. Eng.,2022
3. Heat and mass transport in an industrial tunnel dryer: Modeling and simulation applied to hollow bricks;Swarnakar;Appl. Therm. Eng.,2013
4. Hybrid Solar Thermal/Electricity Automated Oven;Victor;Adv. Sci. Technol. Eng. Syst. J.,2020
5. De Rubeis, T., Muttillo, M., Nardi, I., Pantoli, L., Stornelli, V., and Ambrosini, D. (2019). Integrated Measuring and Control System for Thermal Analysis of Buildings Components in Hot Box Experiments. Energies, 12.
Cited by
3 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献