Computational Fluid Dynamics Analysis of Flow Patterns, Pressure Drop, and Heat Transfer Coefficient in Staggered and Inline Shell-Tube Heat Exchangers

Sharma, Shubham; Sharma, Shalab; Singh, Mandeep; Singh, Parampreet; Singh, Rasmeet; Maharana, Sthitapragyan; Khalilpoor, Nima; Issakhov, Alibek

doi:https://doi.org/10.1155/2021/6645128

Mathematical Problems in Engineering

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Abstract Introduction Results and Discussion Conclusions Abbreviations Data Availability Conflicts of Interest Acknowledgments References Copyright Related Articles

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Fractional Nonlinear Partial Differential Equations for Physical Models: Analytical and Numerical Methods

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Research Article | Open Access

Volume 2021 | Article ID 6645128 | https://doi.org/10.1155/2021/6645128

Computational Fluid Dynamics Analysis of Flow Patterns, Pressure Drop, and Heat Transfer Coefficient in Staggered and Inline Shell-Tube Heat Exchangers

Shubham Sharma,¹Shalab Sharma,²Mandeep Singh,³Parampreet Singh,⁴Rasmeet Singh,⁵Sthitapragyan Maharana,⁶Nima Khalilpoor,⁷and Alibek Issakhov⁸

Academic Editor: Younes Menni

Received16 Nov 2020

Revised28 Apr 2021

Accepted18 May 2021

Published01 Jun 2021

Abstract

In this numerical study, the heat transfer performance of shell-and-tube heat exchangers (STHXs) has been compared for two different tube arrangements. STHX having 21 and 24 tubes arranged in the inline and staggered grid has been considered for heat transfer analysis. Shell-and-tube heat exchanger with staggered grid arrangement has been observed to provide lesser thermal stratification as compared to the inline arrangement. Further, the study of variation in the mass flow rate of shell-side fluid having constant tube-side flow rate has been conducted for staggered grid structure STHX. The mass flow rate for the shell side has been varied from 0.1 kg/s to 0.5 kg/s, respectively, keeping the tube-side mass flow rate as constant at 0.25 kg/s. The influence of bulk mass-influx transfer rate on heat transfer efficiency, effectiveness, and pressure drop of shell-tube heat exchangers has been analyzed. CFD results were compared with analytical solutions, and it shows a good agreement between them. It has been observed that pressure drop is minimum for the flow rate of 0.1 kg/s, and outlet temperatures at the shell side and tube side have been predicted to be 40.94°C and 63.63°C, respectively.

1. Introduction

Heat transfer analysis of shell-tube heat exchangers is critical owing to their applications in many of the engineering domains like energy production, industrial chemistry, bionics, nanotechnology applications, air conditioning, refrigeration, and food industries [1–3]. It has been reported that around 35% of the total heat exchangers are STHXs [4]. STHX of various sizes is used widely in many industrial applications [3, 5, 6]. The layout model of draft-structure configurations of the shell-and-tube heat exchanger may vary according to the need. Tubular Exchanger Manufacturers Association (TEMA) publishes the standardizing norms or regulations and design configurations regularly. The Bureau of Indian Standards also suggested a design configuration and standards for shell-and-tube heat exchangers [7]. The shell-side flow inside the STHX is very complicated due to bypass between different flow zones and leakages. The effect of leakages and bypass on the performance of STHX may vary for different shell designs and sizes [8, 9]. Several studies put shell-and-tube heat exchangers in the area of focus due to their vast utilization in the industry, especially in the oil and gas industry [10–12]. Bhuyian et al. [13] reviewed the performance of plate-fin and tubular heat exchangers. Costa and Queiroz [14] investigated the design optimization procedure of the STHX to minimize the thermal surface area. Jozaie et al. [15] investigated the effect of baffle spacing on the heat transfer rate, pressure drop, and cost of the STHX and concluded that the optimal baffle spacing to achieve a higher heat transfer rate, lower pressure drops, and cost would be around 8–12 inches. Li and Kottke [16] studied the variation of baffle spacing on pressure drop and heat transfer coefficient of STHX with staggered tube layout. Rai et al. [17] performed a parametric study on the STHX and monitored that the tube pitch ratio is the main factor for the thermal performance of STHXs. Patel et al. [18] reviewed all the CFD-based studies investigating the heat transfer in the STHXs. Lebele-Alawa and Egwanwo [19] numerically investigated the heat transfer in the heat exchangers and reported high efficiency and accuracy for the presented numerical model. Chalwa and Kadli [20] investigated the effect of vertical baffles on the heat transfer performance and pressure drop of the STHXs. Anand et al. [21] used the Bell-Delaware method to perform an experimental investigation on the performance of STHXs. Yang et al. [22] compared four modeling methods and validated the compared models with experimental results for the rod baffle heat exchangers. Wang et al. [23] studied the effect of installing sealers on the shell side of the STHX. They reported a considerable enhancement in the heat transfer coefficient and energy efficiency of the STHX. Ramezanpour et al. [24] investigated the effect of the staggered tube bundle in a turbulent cross-flow regime to find the optimal layout. Kwak et al. [25] varied the number of tube rows of staggered finned tube bundles and studied their effect on the heat transfer rate and pressure drop. It has been inferred that three rows of tube bundles obtained the least pressure drop among other tested schemes. Beale and Spalding [26] compared the performance of STHX for inline and staggered tube banks under transient flow conditions. Jayawel and Tiwari [27] performed a similar study and compared the performance of inline and staggered tube banks in a 3D model and validated the obtained results with the data available in the literature and reported high accuracy for the presented code.

In the present study, two different types of shell-and-tube heat exchangers, one with an inline tube structure and the other with staggered tube structure, have been studied numerically for heat transfer performance. CFD simulations were performed to analyze the heat transfer efficacy of both heat exchangers. A shell-tube heat exchanger with a staggered grid structure resulted in improvements in heat transfer performance, so it has been considered for further analysis. In the second phase of the study, variation in the bulk mass-transfer flow rate of lateral shell-face fluid has been analyzed, keeping the tube-side flow rate as fixed at 0.25 kg/s. The results and conclusions have been drawn based on the observed outcomes of heat transfer under different bulk mass flow rates varying from 0.1 kg/s to 0.5 kg/s. With the advancement of computer programming and technology, numerical simulation has replaced prototype testing. Nowadays, numerical simulations are being conducted to optimize the efficiency of various devices, tools, and equipment [28–33]. To perform the study, numerical simulation has been done on 3D geometry of STHX using ANSYS FLUENT 15 to know the effect of variation in mass flow rate of shell-tube sided and arrangements of conduit-tube wads or bales in the heat exchangers. CFD results have also been compared with the analytical solutions, and the differences observed have been examined.

2. Modeling Details

In this study, the tubes of shell-tube heat exchangers have been arranged in two different configurations, inline structure and staggered structure having 21 and 24 numbers of tubes, respectively. The shell has dimensions of 94.7 mm in diameter and 810.1 mm in length. Likewise, the outer and inner diameters of the tubes are 12.5 mm and 11 mm, respectively. Water has been considered as drive operating medium fluid for both shell and tube sides. The physical properties of water have been considered as those given in the Fluent database.

2.1. Governing Equations

Steady and incompressible flow conditions have been assumed for the sake of simplifying the numerical analysis. The mass flow rates used in the present study correspond to turbulent flow conditions, and thus turbulence modeling has been done using the two-equation “k-ε” turbulence model. The “k-ε” turbulence model has been used due to its versatility and robustness in handling a wide range of turbulent flows. At the same time, the model is stable and poses lesser convergence difficulties. The governing equations for the flow are given as follows [23–28, 34].

Momentum equation: X-momentum: Y-momentum: Z-momentum: Energy equation:where “Ø” is the dissipation function and can be calculated from [23–28, 34]

2.2. Geometry

The geometry of STHX has been modeled in SolidWorks, and Table 1 describes the dimensions of the heat exchanger. The schematic of STHX with a staggered grid structure and inline grid structure is presented in Figures 1(a) and 1(b). In the present work, the cold fluid has been made to flow in the tubes and hot fluid through the shell. It can also be seen that there are two baffles provided in the shell of the STHX heat exchanger.

(a)

(b)

2.3. Mesh Generation

The tetrahedral mesh has been generated using Fluent Meshing. The grid generated has been analyzed for aspect ratio and orthogonal quality. The computational grid for STHX has approximately 17,622,730 and 18,233,589 grid elements for the inline and staggered grid. The aforementioned grid density has been obtained after carrying out the necessary grid convergence test.

2.4. Boundary Conditions

The inlet mass flow rate and inlet temperature values have been assigned to the STHX. The shell fluid inlet temperature has been considered as 20°C, and the tube-side fluid inlet temperature is 80°C.

Gauge pressure has been considered to be zero at the outlet. The velocity profile has been assumed to be uniform for simplifying the calculations. The no-slip condition has been considered for all the wall surfaces, and the heat flux value has been assigned as zero for the outer surface of the shell, i.e., the shell-side outer surface has been considered as adiabatic (Table 2).

2.5. Turbulence Model

The mass flow rate used for the flowing stream corresponds to turbulent flow conditions, and hence turbulent effects cannot be ignored. The standard “k-ε” model has been employed for the turbulent transport analysis. The two-equation “k-ε” turbulence model has been used due to its simplicity and faster convergence as compared to other models. In the past literature available on In previous research on CFD studies, the “k-ε” model has been used for almost every flow situation. Thus, the same model has been considered as well. For steady-state conditions, the model equations are [23–29, 34]

Equations (7) and (8) are the transport equations for k and ε, and equation (9) is the equation for turbulent eddy viscosity. In equation (7), i = 1, j = 1, 2, and 3 represents the space variables in “x,” “y,” and “z” directions, and the model constants values used in the turbulence model are C_1&ε = 1.44, C_2&ε = 1.92, C_µ = 0.09, σ_k = 1.0, and σ_&ε = 1.3.

3. Results and Discussion

The numerical analysis has been carried out on STHX with inline and staggered tube structure, and a comparison of results shows that the performance of STHX is better with staggered tube structure than that with the inline tube structure. Outlet temperature for shell and tube side is given in Table 3. The effectiveness for the staggered and inline tube heat exchangers is 64.10% and 53.15%, respectively. Based on effectiveness, it is evident that staggered tube heat exchanger is more efficient as compared with aligned tube-conduit heat exchanger, so further calculations have been performed on staggered grid shell-tube type heat exchanger only.

From the results, it can be clearly identified that the heat transfer performance of shell-tube type heat exchanger with staggered grid structure is better than the heat exchanger with inline grid structure (Figures 2(a)–2(c) and Figures 2(d)–2(f)). So, for further analysis of variation in bulk mass-influx flow rate for shell fluid, shell-and-tube heat exchanger with staggered grid structure has been considered. Mass flow rate of shell-side fluid has been varied from 0.1 kg/s to 0.5 kg/s, and tube-side flow has been taken as constant at 0.25 kg/s.

(a)

(b)

(c)

(d)

(e)

(f)

Table 4 describes the outlet temperatures of the shell-tube heat exchanger for changing mass flow rates. Shell fluid inlet and tube fluid inlet temperatures are kept identical for all cases, which correspond to 20°C and 85°C, respectively. Table 5 describes the effect of variation in mass flow rate on flow parameters such as pressure drop and heat transfer characteristics using respective analytical formulas.

Table 6 presents the percentage discrepancy among the CFD predictions and analytical outcomes by taking the standard analytical results for pressure drop and heat transfer coefficient occurring in internal flows as reference. With the increase in the mass flow rate of shell fluid, both the heat transfer coefficient and pressure drop increase, but the outlet temperature of hot and cold fluid decreases, which ultimately reduces the potential efficiency of a shell-tube heat exchanger. The above results show good agreement between CFD and analytical solutions, and a maximum difference of 15.01% has been noticed in the heat transfer coefficient at the lowest flow rate.

The graphical representation, as illustrated in Figures 3–6, exhibits the influence of mass flow rate variations on outlet temperatures of STHX, pressure drop, heat transfer coefficient, and rate of heat transfer. It has been observed that an increase in mass flow rate of shell fluid leads to a decrease in outlet temperatures of a shell-tube heat exchanger and enhancement of both pressure drop as well as heat transfer coefficient. The enhancement of pressure drop is expected because of the turbulence in a flow field. The related investigation was reported by Singh et al., which analyzed that the Reynolds averaged N-S eqns.-predicated turbulent simulation in commercial C. F. D. Fluent was being employed for numerical analysis. The three-distinct “k-ε,” as well as the shearing-stress-transport (S.S.T.) “k-ω” models, are being used in the analysis. In order to determine the best-efficient and reliable turbulence model, the numerical simulation efficiency analysis was compared with empirical outcomes. For the design topography and configuration in consideration, the influence of alteration of Reynolds number (Re_p), interjet, and separation distance was being contemplated. Such factors influenced the heat transfer coefficient, temp., and turbulence intensity in a stream. Results revealed that the localized “h” levels were being considerably decreased as the separation distance “non-dimensional-impingement separation ” escalates. The S.S.T. “k-ω” design model had been reported to be the least important determinant and reliable assessment of empirical outcomes. With an improvement in ““ from six-to-ten at “Re_p” = 9 × 10³ and “interjet-spacing, “ of three, the mean of heat transfer performance “h” significantly decreases from 0.021 to 0.0193 W/cm²K. The interjet spacing “ “ of three was being computed to be the more optimal value predicated upon analytical findings as unveiled by the Singh et al. [34].

4. Conclusions

The STHX has been modeled with staggered and inline tube structures to analyze the heat transfer performance. From the CFD simulations for the shell-tube heat exchanger, outlet temperatures of shell-tube fluids and their effectiveness have been obtained. From the obtained results, the following conclusions can be drawn:(a)STHX with staggered tube structure is better than the STHX with inline tube structure.(b)Effect of variation in shell fluid mass flow rate has been analyzed on heat transfer rate, pressure drop, heat transfer coefficient, and outlet temperatures of shell-tube heat structure by varying the shell-side mass flow rate from 0.1 kg/s to 0.5 kg/s and keeping tube-side flow rate as constant at 0.25 kg/s. The results show that with the rise in shell-side mass flow rate, both the pressure drop and heat transfer coefficient enhance and decrease the outlet temperatures.(c)It has been observed that pressure drop is minimum for a mass flow rate of 0.1 kg/s, and outlet temperatures at the shell side and tube side are 40.94°C and 63.63°C, respectively. The increase in pressure drop for increasing mass flow rate has been attributed to the turbulence, and thus higher shear stresses exist at the surfaces.(d)It has been observed that there is an excellent accord among CFD and analytical findings. The percentage difference between analytical solution and CFD simulation results shows the highest difference of 15.01% for heat transfer coefficient, 8.01% for shell-side pressure drop, and 8.39% for heat transfer rate.

Abbreviations

x, y, z:	Coordinate axis
D_s:	Shell diameter (mm)
d_i:	Inner diameter of tube (mm)
d_o:	Outer diameter of tube (mm)
e:	Energy (kJ)
:	Acceleration due to gravity (m/s²)
G_k:	Production term for k (m²/s²)
G_b:	Buoyancy term for TKE (m²/s²)
G_ε:	Production term for ε (m²/s³)
h:	Convective heat transfer coefficient (W/m²)
i, j:	Loop indices
k:	Turbulent kinetic energy (m²/s²)
L:	Length of heat exchanger (mm)
N_b:	Number of baffles
N_t:	Number of tubes
T:	Temperature (°C)
T_cin:	Temperature of cold fluid (°C)
T_hin:	Temperature of hot fluid (°C)
P:	Pressure (Pa)
q:	Heat flux (kW/m²)
u, v, w:	Velocity components (m/s)
CFD:	Computational fluid dynamics
STHX:	Shell-and-tube heat exchanger
atm:	Atmosphere

:	Greek Symbols
ϕ:	Viscous dissipation function
τ_xy:	Viscous shear stress (Pa)
λ:	Second coeff. of viscosity (kg/m-s)
μ_t:	Turbulent viscosity (kg/m-s)
μ:	Dynamic viscosity (kg/m-s)
ε:	Dissipation rate (m²/s³)
ρ:	Density (kg/m³)
σ_k:	Turbulent Prandtl number for k
σ_ε:	Turbulent Prandtl number for ε
:	Del operator.

Data Availability

The data used to support the findings of this study are available from the corresponding author upon request.

Conflicts of Interest

The authors declare that they have no conflicts of interest.

Acknowledgments

The authors wish to acknowledge the Department of RIC, IKGPTU, Punjab, India, for providing opportunity to conduct this research.

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Copyright © 2021 Shubham Sharma et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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