Improving heat transfer and performance in a radial, finned, Shell and tube heat exchanger is studied in this study. According to the second law of thermodynamics, the most irreversibilities of convective heat transfer processes are due to fluid friction and heat transfer via finite temperature difference. Entransy dissipations are due to the irreversibilities of convective heat transfer. Therefore, the number of entransy dissipation is considered as the optimization objective. Thirteen optimization variables are considered, including the number of tubes, tube diameter, tube length, fin height, fin thickness, the number of fins per inch length of tube and baffle spacing ratio. The “ Delaware modified” technique is used to determine heat transfer coefficients and the Shell-side pressure drop. In this technique, the baffle cut is 20 percent. The results show that using genetic algorithm the optimization can improve the heat transfer by 13percent and performance of heat exchanger increased by 18percent. In order to show the accuracy of the algorithm the results compared to the particle swarm optimization.

In present study, the thermal modeling and multi-objective optimization of Shell and tube heat exchangers (STHE) with a diamond-shaped turbulator has been investigated. To obtain the Correlation relationship between the Nusselt number and the friction factor for a diamond-shaped turbulator, a CFD analysis with acceptable accuracy has been done. Two factors of total cost and maximum thermal effectiveness are chosen as two objective functions. Nine optimal design variables for the present study are arrangement, diameter, step ratio, length and number of tube, distance ratio and cut ratio of baffle, turbulator step ratio and turbulator internal rod diameter. The ε-NTU procedure is employed for thermal modeling STHE and the Bell-Delaware technique is applied to evaluate the coefficient of heat transfer and pressure drop of the Shell side. Also NSGA-II is used to acquire two objective functions. Comparison of the obtained results of the optimal Pareto optimal solutions showed that the use of diamond-shaped turbulator DST on the tube side improves thermal performance and lower overall costs STHE compared to the non-use state. Using turbulator inside the tube and the impact of important design parameters clearly contributed to the difference between effectiveness and overall cost.

In this paper the thermal behavior of the Shell-side show of a Shell-and-tufe heat exchanger has been studied using theoretical and experimental methods. The experimental method Provided the effect of the major parameters of the Shell-side flow on thermal energy exchange. In the numerical method, besides the effect of the major parameters, the effect of different geometric parameters and Re on thermal energy exchange in Shell-side flow has been considered. Numerical analysis for six baffle spacing namely 0.20, 0.25, 0.33, 0.50, 0.66, and 1.0 of inside diameter of the Shell and five baffle cuts namely 16%, 20%, 25%, 34%, and 46% of baffle diameter, have been carried out. In earlier numerical analyses, the repetition of an identical geometrical module of exchanger as a calculation domain has been studied. While in this work, as a new approach in current numerical analysis, the entire geometry of Shell-and-tube heat exchanger including entrance and exit regions as a calculation domain has been chosen. The results show that the flow and heat profiles vary alternatively between baffles. A Shell-and-tube heat exchanger of gas-liquid chemical reactor system has been used in the experimental method. Comparison of the numerical results show good agreement with experimental results of this research and other published experimental results over a wide range of Reynolds numbers (1,000-1,000,000).

This paper aims to minimize the total annual cost for a Shell and tube heat exchanger based on optimization algorithms. The total annual cost is the sum of the initial cost for the construction of the heat exchanger and the cost of power consumption in the Shell and tube heat exchanger. The total annual cost is the objective function, which is minimized. This research uses three optimization algorithms including particle swarm optimization, genetic algorithm, and differential evolution, and three optimization variables including Shell’s inside diameter, tubes’ outer diameter, and baffle spacing. Three different studies have been used to compare the results. The results demonstrated that the differential evolution algorithm achieved the most decline in the total annual cost compared to other optimization algorithms. Using differential evolution algorithm, the total annual cost was decreased about 30% in study 1 and about 28.1% in study 2 compared with literature, respectively. The reduction in the total operating cost is about 47.7% for differential evolution algorithm, 45.7% for particle swarm optimization, and 45.3% for genetic algorithm relative to the results reported in the literature for case study 3. Results were compared with at least eight works directly and have been demonstrated in this research.

The paper studies optimization of Shell-and-tube heat exchangers using the particle swarm optimization technique. A total cost function is formulated based on initial and annual operating costs of the heat exchangers. Six variables – Shell inside diameter, tube diameter, baffle spacing, baffle cut, number of tube passes and tube layouts (triangular or square) – are considered as the design parameters. The particle swarm optimization selects the parameters so that the system has minimum total cost. Although generalization is not possible for any case, for minimization of cost functions of the three different cases studied in this research, larger tube outer diameter, triangular layout, baffle cut equalling 0. 25 of Shell diameter and one pass for each tube result in optimum designs. The other two parameters show no fixed trend.