A Study of the Temperature Distribution in a Polymer-Composite Rod When Heat-Treated with Microwave Radiation

Мамонтов, А. В.; Nefedov, V. N.; Khritkin, S. A.

doi:10.1007/s11018-019-01631-z

Cited by 2 publications

(2 citation statements)

References 1 publication

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“…However, challenges arise from the potential for non-uniform temperature distribution, attributed to the uneven dispersal of microwave power [4]. Such non-uniformities may compromise the internal structure of heated products, thereby diminishing their quality [5,6]. By employing proficient controllers, the risks associated with heat non-uniformities can be mitigated [1].…”

Section: Introductionmentioning

confidence: 99%

Modeling of Microwave Heating Systems with Octagonal Tube Cavities: A Comparative Study of Fuzzy-Based and ARX Approaches

Prastiyanto,

Apriaskar,

Handayani

et al. 2023

PEET

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In the quest to design a robust model for microwave heating systems with symmetrical octagonal tube cavities (MWHSO), a fuzzy-based approach, specifically the Takagi Sugeno Fuzzy Model, was explored to capture the dynamics of the heating process. To achieve this, the mathematical model was adaptively adjusted according to varying input conditions through the utilization of fuzzy logic. Input data were sourced from two magnetrons, with the system outputs derived from measurements acquired from five temperature sensors placed on the heated object. For performance evaluation, the Root Mean Square Error (RMSE) was employed. A comparison was drawn with the autoregressive model with exogenous variable (ARX), a traditional approach wherein the system's mathematical model remains static. Simulation studies were conducted, treating every probe measurement across all dataset validations as distinct cases. It was found that the T-S Fuzzy model surpassed the ARX40 in performance in 33 of the total cases, accounting for 92.49%. The most notable performance of the fuzzy-based approach was observed at a 180-Watt power input, recording an average RMSE of 0.00574 across the five sensors. In contrast, the ARX-based model registered an RMSE of 0.01256. These findings suggest that the fuzzy-based modeling approach presents a compelling alternative for representing the dynamic heating processes within MWHSO.

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Section: Introductionmentioning

confidence: 99%

Modeling of Microwave Heating Systems with Octagonal Tube Cavities: A Comparative Study of Fuzzy-Based and ARX Approaches

Prastiyanto,

Apriaskar,

Handayani

et al. 2023

PEET

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show abstract

“…Microwave heating sometimes can causes uneven heat distribution, affecting the internal structure of the heated product, resulting in poor quality of the product [4,5]. An excellent control system for the microwave heating process can avoid or at least minimize the probability that matter occurs [1].…”

Section: Introductionmentioning

confidence: 99%

Identification of microwave heating system with symmetrical octagonal tube cavity using ARX model

Prastiyanto

Apriaskar

Handayani

et al. 2022

IOP Conf. Ser.: Earth Environ. Sci.

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As one of the complex technologies in the heating process, microwave heating system has gained attentions in the recent years. A further development of microwave heating control technology becomes necessary considering its superiorities in less energy consumption, volumetric heating ability and satisfying mechanical properties. Several studies on microwave heating system modelling were conducted to encourage the controller design. This work presents the modelling of a microwave heating system using autoregressive with exogenous variables or so-called ARX. The modelling conducted in this research applied the approach of input-output identification method. The generation of input-output datasets for the identification of microwave heating system was carried out in COMSOL simulation environment using symmetrical octagonal tube cavity design with two magnetrons as the inputs and five temperature sensors as the output measurement devices. For the validation and evaluation of the approach, MATLAB identification system toolbox was utilized to find the best ARX model based on the given input-output datasets. The validation test shows that the best ARX model can reach more than 93% in the fit value given all the datasets for all the outputs, while for the evaluation using the perturbed signals from the outside of datasets, the chosen model can obtain 97.35% in the average of the fit value for all the outputs.

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A Study of the Temperature Distribution in a Polymer-Composite Rod When Heat-Treated with Microwave Radiation

Cited by 2 publications

References 1 publication

Modeling of Microwave Heating Systems with Octagonal Tube Cavities: A Comparative Study of Fuzzy-Based and ARX Approaches

Modeling of Microwave Heating Systems with Octagonal Tube Cavities: A Comparative Study of Fuzzy-Based and ARX Approaches

Identification of microwave heating system with symmetrical octagonal tube cavity using ARX model

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