ALSAKARNEH, Amjad ;MOMANI, Lina ;TABAZA, Taha . Fuzzy and Matlab/Simulink Modelling of the Air Compression Refrigeration Cycle. Strojniški vestnik - Journal of Mechanical Engineering, [S.l.], v. 69, n.9-10, p. 401-408, may 2023. ISSN 0039-2480. Available at: <https://www.sv-jme.eu/sl/article/fuzzy-and-matlabsimulink-modelling-of-the-air-compression-refrigeration-cycle/>. Date accessed: 19 nov. 2024. doi:http://dx.doi.org/10.5545/sv-jme.2023.597.
Alsakarneh, A., Momani, L., & Tabaza, T. (2023). Fuzzy and Matlab/Simulink Modelling of the Air Compression Refrigeration Cycle. Strojniški vestnik - Journal of Mechanical Engineering, 69(9-10), 401-408. doi:http://dx.doi.org/10.5545/sv-jme.2023.597
@article{sv-jmesv-jme.2023.597,
author = {Amjad Alsakarneh and Lina Momani and Taha Tabaza},
title = {Fuzzy and Matlab/Simulink Modelling of the Air Compression Refrigeration Cycle},
journal = {Strojniški vestnik - Journal of Mechanical Engineering},
volume = {69},
number = {9-10},
year = {2023},
keywords = {The coefficient of performance; Matlab/Simulink; Takagi-Sugeno-Kang; refrigeration cycles; },
abstract = {The coefficient of performance (COP) for a gas refrigeration cycle was estimated using Matlab/Simulink and fuzzy logic. A Matlab/Simulink model of the gas refrigeration cycle was developed, and the output was compared to theoretical data. Additionally, fuzzy logic was used to estimate the COP for arbitrary low- and high-pressure levels. Simulation results were used to develop a multi-input-multi-output (MIMO) fuzzy Takagi-Sugeno-Kang (TSK)-based model. Both the Matlab/Simulink and the MIMO fuzzy model were found to be very well correlated with theoretical results, with an error of less than 2 %. These results demonstrate the effectiveness of using fuzzy logic to analyse gas refrigeration cycles and suggest that this approach can be extended to analyse other thermodynamic cycles.},
issn = {0039-2480}, pages = {401-408}, doi = {10.5545/sv-jme.2023.597},
url = {https://www.sv-jme.eu/sl/article/fuzzy-and-matlabsimulink-modelling-of-the-air-compression-refrigeration-cycle/}
}
Alsakarneh, A.,Momani, L.,Tabaza, T. 2023 May 69. Fuzzy and Matlab/Simulink Modelling of the Air Compression Refrigeration Cycle. Strojniški vestnik - Journal of Mechanical Engineering. [Online] 69:9-10
%A Alsakarneh, Amjad %A Momani, Lina %A Tabaza, Taha %D 2023 %T Fuzzy and Matlab/Simulink Modelling of the Air Compression Refrigeration Cycle %B 2023 %9 The coefficient of performance; Matlab/Simulink; Takagi-Sugeno-Kang; refrigeration cycles; %! Fuzzy and Matlab/Simulink Modelling of the Air Compression Refrigeration Cycle %K The coefficient of performance; Matlab/Simulink; Takagi-Sugeno-Kang; refrigeration cycles; %X The coefficient of performance (COP) for a gas refrigeration cycle was estimated using Matlab/Simulink and fuzzy logic. A Matlab/Simulink model of the gas refrigeration cycle was developed, and the output was compared to theoretical data. Additionally, fuzzy logic was used to estimate the COP for arbitrary low- and high-pressure levels. Simulation results were used to develop a multi-input-multi-output (MIMO) fuzzy Takagi-Sugeno-Kang (TSK)-based model. Both the Matlab/Simulink and the MIMO fuzzy model were found to be very well correlated with theoretical results, with an error of less than 2 %. These results demonstrate the effectiveness of using fuzzy logic to analyse gas refrigeration cycles and suggest that this approach can be extended to analyse other thermodynamic cycles. %U https://www.sv-jme.eu/sl/article/fuzzy-and-matlabsimulink-modelling-of-the-air-compression-refrigeration-cycle/ %0 Journal Article %R 10.5545/sv-jme.2023.597 %& 401 %P 8 %J Strojniški vestnik - Journal of Mechanical Engineering %V 69 %N 9-10 %@ 0039-2480 %8 2023-05-25 %7 2023-05-25
Alsakarneh, Amjad, Lina Momani, & Taha Tabaza. "Fuzzy and Matlab/Simulink Modelling of the Air Compression Refrigeration Cycle." Strojniški vestnik - Journal of Mechanical Engineering [Online], 69.9-10 (2023): 401-408. Web. 19 Nov. 2024
TY - JOUR AU - Alsakarneh, Amjad AU - Momani, Lina AU - Tabaza, Taha PY - 2023 TI - Fuzzy and Matlab/Simulink Modelling of the Air Compression Refrigeration Cycle JF - Strojniški vestnik - Journal of Mechanical Engineering DO - 10.5545/sv-jme.2023.597 KW - The coefficient of performance; Matlab/Simulink; Takagi-Sugeno-Kang; refrigeration cycles; N2 - The coefficient of performance (COP) for a gas refrigeration cycle was estimated using Matlab/Simulink and fuzzy logic. A Matlab/Simulink model of the gas refrigeration cycle was developed, and the output was compared to theoretical data. Additionally, fuzzy logic was used to estimate the COP for arbitrary low- and high-pressure levels. Simulation results were used to develop a multi-input-multi-output (MIMO) fuzzy Takagi-Sugeno-Kang (TSK)-based model. Both the Matlab/Simulink and the MIMO fuzzy model were found to be very well correlated with theoretical results, with an error of less than 2 %. These results demonstrate the effectiveness of using fuzzy logic to analyse gas refrigeration cycles and suggest that this approach can be extended to analyse other thermodynamic cycles. UR - https://www.sv-jme.eu/sl/article/fuzzy-and-matlabsimulink-modelling-of-the-air-compression-refrigeration-cycle/
@article{{sv-jme}{sv-jme.2023.597},
author = {Alsakarneh, A., Momani, L., Tabaza, T.},
title = {Fuzzy and Matlab/Simulink Modelling of the Air Compression Refrigeration Cycle},
journal = {Strojniški vestnik - Journal of Mechanical Engineering},
volume = {69},
number = {9-10},
year = {2023},
doi = {10.5545/sv-jme.2023.597},
url = {https://www.sv-jme.eu/sl/article/fuzzy-and-matlabsimulink-modelling-of-the-air-compression-refrigeration-cycle/}
}
TY - JOUR AU - Alsakarneh, Amjad AU - Momani, Lina AU - Tabaza, Taha PY - 2023/05/25 TI - Fuzzy and Matlab/Simulink Modelling of the Air Compression Refrigeration Cycle JF - Strojniški vestnik - Journal of Mechanical Engineering; Vol 69, No 9-10 (2023): Strojniški vestnik - Journal of Mechanical Engineering DO - 10.5545/sv-jme.2023.597 KW - The coefficient of performance, Matlab/Simulink, Takagi-Sugeno-Kang, refrigeration cycles, N2 - The coefficient of performance (COP) for a gas refrigeration cycle was estimated using Matlab/Simulink and fuzzy logic. A Matlab/Simulink model of the gas refrigeration cycle was developed, and the output was compared to theoretical data. Additionally, fuzzy logic was used to estimate the COP for arbitrary low- and high-pressure levels. Simulation results were used to develop a multi-input-multi-output (MIMO) fuzzy Takagi-Sugeno-Kang (TSK)-based model. Both the Matlab/Simulink and the MIMO fuzzy model were found to be very well correlated with theoretical results, with an error of less than 2 %. These results demonstrate the effectiveness of using fuzzy logic to analyse gas refrigeration cycles and suggest that this approach can be extended to analyse other thermodynamic cycles. UR - https://www.sv-jme.eu/sl/article/fuzzy-and-matlabsimulink-modelling-of-the-air-compression-refrigeration-cycle/
Alsakarneh, Amjad, Momani, Lina, AND Tabaza, Taha. "Fuzzy and Matlab/Simulink Modelling of the Air Compression Refrigeration Cycle" Strojniški vestnik - Journal of Mechanical Engineering [Online], Volume 69 Number 9-10 (25 May 2023)
Strojniški vestnik - Journal of Mechanical Engineering 69(2023)9-10, 401-408
© The Authors 2023. CC BY 4.0 Int.
The coefficient of performance (COP) for a gas refrigeration cycle was estimated using Matlab/Simulink and fuzzy logic. A Matlab/Simulink model of the gas refrigeration cycle was developed, and the output was compared to theoretical data. Additionally, fuzzy logic was used to estimate the COP for arbitrary low- and high-pressure levels. Simulation results were used to develop a multi-input-multi-output (MIMO) fuzzy Takagi-Sugeno-Kang (TSK)-based model. Both the Matlab/Simulink and the MIMO fuzzy model were found to be very well correlated with theoretical results, with an error of less than 2 %. These results demonstrate the effectiveness of using fuzzy logic to analyse gas refrigeration cycles and suggest that this approach can be extended to analyse other thermodynamic cycles.