EFTEKHARI YAZDI, Mohammad ;AFSHARZADEH, Nader ;MIRABDOLAH LAVASANI, Arash . Thermal Design and Constrained Optimization of a Fin and Tube Heat Exchanger Using Differential Evolution Algorithm. Articles in Press, [S.l.], v. 0, n.0, p. , september 2024. ISSN 0039-2480. Available at: <https://www.sv-jme.eu/article/thermal-design-and-constrained-optimization-of-a-fin-and-tube-heat-exchanger-using-differential-evolution-algorithm/>. Date accessed: 25 nov. 2024. doi:http://dx.doi.org/.
Eftekhari Yazdi, M., Afsharzadeh, N., & Mirabdolah Lavasani, A. (0). Thermal Design and Constrained Optimization of a Fin and Tube Heat Exchanger Using Differential Evolution Algorithm. Articles in Press, 0(0), . doi:http://dx.doi.org/
@article{.,
author = {Mohammad Eftekhari Yazdi and Nader Afsharzadeh and Arash Mirabdolah Lavasani},
title = {Thermal Design and Constrained Optimization of a Fin and Tube Heat Exchanger Using Differential Evolution Algorithm},
journal = {Articles in Press},
volume = {0},
number = {0},
year = {0},
keywords = {Fin and tube heat exchanger; Thermal design; Constrained optimization; Differential Evolution (DE) algorithm; Total weight; Total annual cost; },
abstract = {Fin and tube heat exchangers (FTHEs) are utilized for gas-liquid applications frequently. In the current study, a Differential Evolution (DE) algorithm and JDE as its variant, with α-level constraint-handling technique, are effectively applied to optimize an FTHE. Total weight and total annual cost are selected as objective functions. Seven design variables are taken into consideration: outside tube diameter, transverse pitch, longitudinal pitch, fin pitch, number of tube rows, height, and width of shape. Meanwhile, the Logarithmic Mean Temperature Difference (LMTD) method is used for heat transfer analysis under identical conditions such as mass flow rate, inlet and outlet temperatures, heat duty, and other thermal properties. The research findings indicate that the implementation of the DE algorithm coupled with α-level comparison method on optimization problems leads to better solutions for both objective functions compared with those achieved by other approaches such as the Genetic Algorithm (GA) and Heat Transfer Search (HTS) algorithm. In addition, a parametric analysis is performed for design parameters at the optimum points to show the effects on the objective functions and to identify the feasible design space. The proposed method is straightforward and can generally be employed for thermal design and optimization of FTHEs as well as any other type of compact heat exchangers (CHEs) under different specified duties.},
issn = {0039-2480}, pages = {}, doi = {},
url = {https://www.sv-jme.eu/article/thermal-design-and-constrained-optimization-of-a-fin-and-tube-heat-exchanger-using-differential-evolution-algorithm/}
}
Eftekhari Yazdi, M.,Afsharzadeh, N.,Mirabdolah Lavasani, A. 0 September 0. Thermal Design and Constrained Optimization of a Fin and Tube Heat Exchanger Using Differential Evolution Algorithm. Articles in Press. [Online] 0:0
%A Eftekhari Yazdi, Mohammad %A Afsharzadeh, Nader %A Mirabdolah Lavasani, Arash %D 0 %T Thermal Design and Constrained Optimization of a Fin and Tube Heat Exchanger Using Differential Evolution Algorithm %B 0 %9 Fin and tube heat exchanger; Thermal design; Constrained optimization; Differential Evolution (DE) algorithm; Total weight; Total annual cost; %! Thermal Design and Constrained Optimization of a Fin and Tube Heat Exchanger Using Differential Evolution Algorithm %K Fin and tube heat exchanger; Thermal design; Constrained optimization; Differential Evolution (DE) algorithm; Total weight; Total annual cost; %X Fin and tube heat exchangers (FTHEs) are utilized for gas-liquid applications frequently. In the current study, a Differential Evolution (DE) algorithm and JDE as its variant, with α-level constraint-handling technique, are effectively applied to optimize an FTHE. Total weight and total annual cost are selected as objective functions. Seven design variables are taken into consideration: outside tube diameter, transverse pitch, longitudinal pitch, fin pitch, number of tube rows, height, and width of shape. Meanwhile, the Logarithmic Mean Temperature Difference (LMTD) method is used for heat transfer analysis under identical conditions such as mass flow rate, inlet and outlet temperatures, heat duty, and other thermal properties. The research findings indicate that the implementation of the DE algorithm coupled with α-level comparison method on optimization problems leads to better solutions for both objective functions compared with those achieved by other approaches such as the Genetic Algorithm (GA) and Heat Transfer Search (HTS) algorithm. In addition, a parametric analysis is performed for design parameters at the optimum points to show the effects on the objective functions and to identify the feasible design space. The proposed method is straightforward and can generally be employed for thermal design and optimization of FTHEs as well as any other type of compact heat exchangers (CHEs) under different specified duties. %U https://www.sv-jme.eu/article/thermal-design-and-constrained-optimization-of-a-fin-and-tube-heat-exchanger-using-differential-evolution-algorithm/ %0 Journal Article %R %& %P 1 %J Articles in Press %V 0 %N 0 %@ 0039-2480 %8 2024-09-25 %7 2024-09-25
Eftekhari Yazdi, Mohammad, Nader Afsharzadeh, & Arash Mirabdolah Lavasani. "Thermal Design and Constrained Optimization of a Fin and Tube Heat Exchanger Using Differential Evolution Algorithm." Articles in Press [Online], 0.0 (0): . Web. 25 Nov. 2024
TY - JOUR AU - Eftekhari Yazdi, Mohammad AU - Afsharzadeh, Nader AU - Mirabdolah Lavasani, Arash PY - 0 TI - Thermal Design and Constrained Optimization of a Fin and Tube Heat Exchanger Using Differential Evolution Algorithm JF - Articles in Press DO - KW - Fin and tube heat exchanger; Thermal design; Constrained optimization; Differential Evolution (DE) algorithm; Total weight; Total annual cost; N2 - Fin and tube heat exchangers (FTHEs) are utilized for gas-liquid applications frequently. In the current study, a Differential Evolution (DE) algorithm and JDE as its variant, with α-level constraint-handling technique, are effectively applied to optimize an FTHE. Total weight and total annual cost are selected as objective functions. Seven design variables are taken into consideration: outside tube diameter, transverse pitch, longitudinal pitch, fin pitch, number of tube rows, height, and width of shape. Meanwhile, the Logarithmic Mean Temperature Difference (LMTD) method is used for heat transfer analysis under identical conditions such as mass flow rate, inlet and outlet temperatures, heat duty, and other thermal properties. The research findings indicate that the implementation of the DE algorithm coupled with α-level comparison method on optimization problems leads to better solutions for both objective functions compared with those achieved by other approaches such as the Genetic Algorithm (GA) and Heat Transfer Search (HTS) algorithm. In addition, a parametric analysis is performed for design parameters at the optimum points to show the effects on the objective functions and to identify the feasible design space. The proposed method is straightforward and can generally be employed for thermal design and optimization of FTHEs as well as any other type of compact heat exchangers (CHEs) under different specified duties. UR - https://www.sv-jme.eu/article/thermal-design-and-constrained-optimization-of-a-fin-and-tube-heat-exchanger-using-differential-evolution-algorithm/
@article{{}{.},
author = {Eftekhari Yazdi, M., Afsharzadeh, N., Mirabdolah Lavasani, A.},
title = {Thermal Design and Constrained Optimization of a Fin and Tube Heat Exchanger Using Differential Evolution Algorithm},
journal = {Articles in Press},
volume = {0},
number = {0},
year = {0},
doi = {},
url = {https://www.sv-jme.eu/article/thermal-design-and-constrained-optimization-of-a-fin-and-tube-heat-exchanger-using-differential-evolution-algorithm/}
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TY - JOUR AU - Eftekhari Yazdi, Mohammad AU - Afsharzadeh, Nader AU - Mirabdolah Lavasani, Arash PY - 2024/09/25 TI - Thermal Design and Constrained Optimization of a Fin and Tube Heat Exchanger Using Differential Evolution Algorithm JF - Articles in Press; Vol 0, No 0 (0): Articles in Press DO - KW - Fin and tube heat exchanger, Thermal design, Constrained optimization, Differential Evolution (DE) algorithm, Total weight, Total annual cost, N2 - Fin and tube heat exchangers (FTHEs) are utilized for gas-liquid applications frequently. In the current study, a Differential Evolution (DE) algorithm and JDE as its variant, with α-level constraint-handling technique, are effectively applied to optimize an FTHE. Total weight and total annual cost are selected as objective functions. Seven design variables are taken into consideration: outside tube diameter, transverse pitch, longitudinal pitch, fin pitch, number of tube rows, height, and width of shape. Meanwhile, the Logarithmic Mean Temperature Difference (LMTD) method is used for heat transfer analysis under identical conditions such as mass flow rate, inlet and outlet temperatures, heat duty, and other thermal properties. The research findings indicate that the implementation of the DE algorithm coupled with α-level comparison method on optimization problems leads to better solutions for both objective functions compared with those achieved by other approaches such as the Genetic Algorithm (GA) and Heat Transfer Search (HTS) algorithm. In addition, a parametric analysis is performed for design parameters at the optimum points to show the effects on the objective functions and to identify the feasible design space. The proposed method is straightforward and can generally be employed for thermal design and optimization of FTHEs as well as any other type of compact heat exchangers (CHEs) under different specified duties. UR - https://www.sv-jme.eu/article/thermal-design-and-constrained-optimization-of-a-fin-and-tube-heat-exchanger-using-differential-evolution-algorithm/
Eftekhari Yazdi, Mohammad, Afsharzadeh, Nader, AND Mirabdolah Lavasani, Arash. "Thermal Design and Constrained Optimization of a Fin and Tube Heat Exchanger Using Differential Evolution Algorithm" Articles in Press [Online], Volume 0 Number 0 (25 September 2024)
Articles in Press
Fin and tube heat exchangers (FTHEs) are utilized for gas-liquid applications frequently. In the current study, a Differential Evolution (DE) algorithm and JDE as its variant, with α-level constraint-handling technique, are effectively applied to optimize an FTHE. Total weight and total annual cost are selected as objective functions. Seven design variables are taken into consideration: outside tube diameter, transverse pitch, longitudinal pitch, fin pitch, number of tube rows, height, and width of shape. Meanwhile, the Logarithmic Mean Temperature Difference (LMTD) method is used for heat transfer analysis under identical conditions such as mass flow rate, inlet and outlet temperatures, heat duty, and other thermal properties. The research findings indicate that the implementation of the DE algorithm coupled with α-level comparison method on optimization problems leads to better solutions for both objective functions compared with those achieved by other approaches such as the Genetic Algorithm (GA) and Heat Transfer Search (HTS) algorithm. In addition, a parametric analysis is performed for design parameters at the optimum points to show the effects on the objective functions and to identify the feasible design space. The proposed method is straightforward and can generally be employed for thermal design and optimization of FTHEs as well as any other type of compact heat exchangers (CHEs) under different specified duties.