Entropy Generation Minimization Research Articles

Impacts of Uniform Magnetic Field and Internal Heated Vertical Plate on Ferrofluid Free Convection and Entropy Generation in a Square Chamber.

The heat transfer enhancement and fluid flow control in engineering systems can be achieved by addition of ferric oxide nanoparticles of small concentration under magnetic impact. To increase the technical system life cycle, the entropy generation minimization technique can be employed. The present research deals with numerical simulation of magnetohydrodynamic thermal convection and entropy production in a ferrofluid chamber under the impact of an internal vertical hot sheet. The formulated governing equations have been worked out by the in-house program based on the finite volume technique. Influence of the Hartmann number, Lorentz force tilted angle, nanoadditives concentration, dimensionless temperature difference, and non-uniform heating parameter on circulation structures, temperature patterns, and entropy production has been scrutinized. It has been revealed that a transition from the isothermal plate to the non-uniformly warmed sheet illustrates a rise of the average entropy generation rate, while the average Nusselt number can be decreased weakly. A diminution of the mean entropy production strength can be achieved by an optimal selection of the Lorentz force tilted angle.

Investigation on the potential of multiple water injections in thermodynamic optimization of heat and mass transfer process in air humidifier

In this paper, several thermodynamic optimization strategies are implemented to tap the potential of multiple water injections in thermodynamic balancing of combined heat and mass transfer process in air humidifier. The all-state of humid air including unsaturation, saturation and supersaturation states are particularly considered. Based on finite difference method, theoretical models are integrated with multiple injection methods. In the off-design analysis, the equipartition process of the driving forces including heat transfer temperature difference and mass transfer pressure difference are full of attention and interest. The research results present that entropy generation minimization is achieved when the values of heat capacity rate ratio equal to unity for all the cases. A larger value of the number of injections will improve the equipartition process of the driving forces, resulting in a reduction of total normalized entropy generation. In addition, it is found that these driving forces can be better balanced with larger number of injections and smaller injection ratio, when the heat capacity rate ratio is constant. Moreover, it is observed that energy effectiveness can be improved and the total normalized entropy generation is diminished as the inlet relative humidity augments, with a minimum normalized entropy generation of 0.0045 emerged at φi=0.85. Furthermore, it is also highlighted that controlling and adjusting the relative humidity of inlet humid air for the optimization of thermal devices and engineering systems is significant and available, especially referred to the all-state of humid air.

Entropy analysis of Poiseuille nanofluid flow in a porous channel with slip and convective boundary conditions under magnetic field

Purpose This study aims to expose the flow phenomena and entropy generation during a; magnetohydrodynamic (MHD) Poiseuille flow of water-based nanofluids (NFs) in a porous channel subject to hydrodynamic slip and convective heating boundary conditions. The flow caused by the uniform pressure; gradient between infinite parallel plates is considered steady and fully developed. The nanoparticles; namely, copper, alumina and titanium oxide are taken with pure water as the base fluid. Viscous dissipation and Joule heating impacts are also incorporated in this investigation. Design/methodology/approach The reduced governing equations are solved analytically in closed form. The physical insights of noteworthy parameters on the important flow quantities are demonstrated through graphs and analyzed elaborately. The thermodynamic analysis is performed by calculating entropy generation; rate and Bejan number. A graphical comparison between solutions corresponding to NFs and regular fluid in the channel is also provided. Findings The analysis of the results divulges that entropy generation minimization can be achieved by an appropriate combination of the geometrical and physical parameters of thermomechanical systems. It is reported that ascent in magnetic parameter number declines the velocity profiles, while the inverse pattern is witnessed with augmentation in hydrodynamic slip parameters. The temperature dissemination declines with the growth of Biot numbers. It is perceived that the entropy generation rate lessens with an upgrade in magnetic parameter, whereas the reverse trend of Bejan number is perceived with expansion in magnetic parameter and Biot number. The important contribution of the result is that the entropy generation rate is controlled with an appropriate composition of thermo-physical parameter values. Moreover, in the presence of a magnetic field and suction/injection at the channel walls, the shear stresses at the channel walls are reduced about two times. Practical implications In various industrial applications, minimizing entropy generation plays a significant role. Miniaturization of entropy is the utilization of the energy of thermal devices such as micro heat exchangers, micromixers, micropumps and cooling microelectromechanical devices. Originality/value An attentive review of the literature discloses that quite a few studies have been conducted on entropy generation analysis of a fully developed MHD Poiseuille flow of NFs through a permeable channel subject to the velocity slip and convective heating conditions at the walls.

Evaluation of energy flow, dissipation and performances for advanced adsorption assisted heat transformation systems: Temperature-entropy frameworks

This article presents the entropy flow and generation of an adsorption assisted heat transformation (A-HT) system. Hence the Gibbs analogy and the thermodynamic property fields of adsorbents + water systems are employed to formulate the entropy balance of adsorption beds. Later, the experimentally confirmed isotherms, kinetics and bed heat exchanger data are applied for computing the energetic performances of adsorption system in terms of entropy flow and generation, from which one can calculate (i) the system-performances with respect to heating and cooling capacities, specific water production and the overall efficiency and (ii) dissipations from each component of A-HT systems. The temperature entropy-flow (T-Sf) maps show close loops for the evaporator, the condenser and the beds indicating the stored energy under batch operating conditions of A-HT cycle. It is observed that the entropy generation (Sg) are mainly contributed by various processes such as mass and heat transfer, de-superheating and flushing of heat transfer fluids. The highest entropy generation occurs in the adsorption bed during desorption period, and the least Si is found in the evaporator. The proposed temperature-entropy maps can be applied to design each component of bed heat exchanger with minimum entropy generation. It is found that the entropy flow and generation depend on the periods of batch operation, the heating source temperature, and the quality of porous adsorbents.

Influence of conjugate heat transfer on the minimization of entropy generation for forced convective flow through parallel plate channel filled with porous material

AbstractA fluid–solid conjugate heat transfer model is developed to analyze the characteristics of entropy generation for forced convective steady hydrodynamically fully developed laminar flow of a Newtonian fluid through a parallel plate channel filled with porous material by modulating the following parameters: substrate thickness, the ratio of thermal conductivity of wall to fluid, Biot number, the axial temperature gradient in the fluid, and Peclet number. The exteriors of both the walls are subjected to the thermal boundary conditions of the third kind. The mass and Brinkman momentum conservation equations in the fluidic domain and the coupled energy conservation in both the solid and fluidic domain are solved analytically using the local thermodynamic equilibrium model, so as to derive closed‐form expressions for the velocity in the fluid and the temperature both in the fluid and solid walls in terms of relevant parameters. Suitable combinations of influencing factors, namely the geometric parameters of the system, fluid, flow, and substrate properties are identified for which global entropy generation rate is minimized. The findings may be helpful in the design of thermal systems frequently used in diverse engineering applications having heat transfer in the solid wall being a crucial parameter.

Comparative analysis of Yamada-Ota and Xue models for hybrid nanofluid flow amid two concentric spinning disks with variable thermophysical characteristics

The surprising features of carbon nanotubes such as featherweight, mechanical permanence, outstanding electrical and thermal conductivities, and physicochemical aptness make them impeccable material for electrochemical contraptions. Having such astounding physiognomies in mind our purpose in this study is to make a comparison of the performance of Yamada-Ota and Xue models for a nanofluid flow amidst two rotating disks in a spongy medium. The majority of nanofluid flow models in the available literature considered constant thermal conductivity and viscosity. Nevertheless, here the whole scenario is deliberated with variable characteristics. The novelty of the envisaged mathematical model is enriched considering the chemical species of both types amalgamated with the entropy generation minimization analysis keeping in view the liquid and gaseous states. The numerical solution of the governing system is obtained by using the bvp4c function of the MATLAB software. The graphical outcomes of arising parameters solid nanoparticles volume fraction (0.005≤φ2≤0.06), variable viscosity (−5≤θr≤2.5), thermal conductivity (1.0≤ε≤2.0), surface catalyzed parameter (0.0≤Kvs≤0.3), homogeneous reaction parameter (0.3≤Kc≤0.7), heterogeneous reaction parameter (0.3≤Ks≤0.7), Brinkman number (0.2≤Br≤0.6), and temperature difference parameter (0.5≤α1≤1.2), versus associated profiles are analyzed logically. It is examined that for positive values of variable viscosity parameter (gases) the axial velocity declines, nevertheless, an increase in velocity distribution is seen for negative values of variable viscosity parameter (liquids).

Entropy generation minimization in bio-convective flow of nanofluid with activation energy and gyrotactic micro-organisms

This article addresses the entropy generation in mixed convection magnetohydrodynamics Eyring–Powell nanofluid flow toward a permeable surface of a cylinder. The flow is modeled considering heat generation and chemical reaction aspects. The influence of buoyancy forces, magnetic field, and thermal radiation is also considered. Moreover, activation energy, viscous dissipation, and permeability effects on bio-nanofluid flow are assimilated in modeling of concentration and energy relations. Total entropy generation is modeled in view of the second thermodynamics law. The governing system of PDEs is deduced by incorporating boundary layer assumptions. Relevant transformations are used to reduce the dimensional flow model into a non-dimensional one. The built-in shooting technique and the NDSolve code in Mathematica software are used to handle the dimensionless flow expressions. Variation in velocity, temperature, concentration, motile micro-organisms, Bejan number, and entropy generation with respect to the involved parameters is scrutinized graphically. Surface drag force, heat transfer rate, mass transfer rate, and density number are further calculated and investigated. Important results are summarized at the end.

Parametric analysis and minimization of entropy generation in bioinspired magnetized non-Newtonian nanofluid pumping using artificial neural networks and particle swarm optimization

Magnetohydrodynamic rheological bio-inspired pumping systems are finding new applications in modern energy systems. These systems combined the electrically conducting properties of flowing liquids with rheological behaviour, biological geometries and propulsion mechanisms. Further enhancements in transport characteristics can be achieved with the deployment of nanofluids. Second law thermodynamic analysis also provides a useful technique for optimizing thermal performance by minimizing entropy generation. In the present study, all these aspects are combined to analyze the heat transfer in magnetic viscoelastic nanofluid flow in a two-dimensional deformable channel containing a rigid porous matrix under peristaltic waves subject to a transverse magnetic field. The Williamson model is deployed for the nanofluid rheology and the Buongiorno model for nanoscale effects. Under lubrication approximations, the conservation equations for mass, momentum, energy and nanoparticle species are simplified. These partial differential equations are further non-dimensionalized using relevant transformation variables. The mathematical model is solved analytically by means of the Homotopy Analysis Method (HAM). Next, entropy generation is minimized by applying Particle Swarm Optimization (PSO) and Artificial Neural Networks (ANN). In the first phase, the equation for Entropy generation is derived as a function of temperature distribution, velocity profile utilizing geometrical and thermophysical parameters. The first step is to discover entropy generation to estimate some extraordinary influencing parameters. In the next step, some specific multi-layer perceptron ANNs are trained, which depend on the information from the first stage. In the last step, PSO in the considered peristaltic flow is used to minimize entropy generation. The optimized value (minimum) of entropy generation is 3.65 kJ/kg acquired at magnetic parameter (M) = 3, Brownian motion parameter (Nb) = 0.3, thermophoresis parameter (Nt)= 0.5 and Brinkman number (Br)=2 . Entropy generation is also very sensitive to both iteration number and magnetic field exhibiting a nonlinear topology.

Effects of truncated and offset pin-fins on hydrothermal performance and entropy generation in a rectangular microchannel heat sink with variable fluid properties

A rectangular microchannel with truncated and offset pin-fins is designed, and investigated using numerical simulation. The width (Wc) and height (Hc) of a single smooth microchannel are 0.1 mm and 0.2 mm, respectively. The pin-fin length, width and height (Hr) are 0.06 mm, 0.03 mm and 0–0.2 mm, respectively. The offset value (Wr) of two adjacent pin-fins in width direction of microchannel ranges from 0 to 0.07 mm. The effects of relative height (Hrc = Hr/Hc) and relative offset value (Wrc = Wr/Wc) on hydrothermal performance and entropy generation are analyzed. Results show that increasing pin-fin height usually results in both higher thermal enhancement and flow resistance. Increasing pin-fin offset value properly can enhance heat transfer, but extremely larger offset value leads to decrease of thermal enhancement. The microchannel with Hrc = 0.75 and Wrc = 0.6 yields the maximum overall thermal performance factor of 1.43. The minimum augmentation entropy generation number of 0.31 is obtained in microchannel with Hrc = 0.75 and Wrc = 0.4. From comparison of variable and constant fluid properties, variable fluid properties significantly affect flow and heat transfer performance. Particularly, fluid viscosity plays a key role in fluid properties while others have unobvious effect.

Impact of moving walls on combined convection flow and thermal performance in a wavy chamber

The impact of wall movements in different directions on mixed convection flow and thermal performance in a wavy chamber is reported. The wavy wall of the chamber is heated non-uniformly, and the upper wall is kept at a constant cold temperature, while the vertical walls of the chamber are adiabatic. Four different cases, namely Case-1, Case-2, Case-3 and Case-4, are considered on the basis of multi-directional movements of the walls of the chamber. Mathematical model of the flow physics consists of the Navier–Stokes (N-S) equations in streamfunction ( $$\psi$$ ) —vorticity ( $$\zeta$$ ) formulation including the energy transport equations which are solved by higher-order compact (HOC) scheme on curvilinear grids Pandit SK, Chattopadhyay A.(Comput Math Appl 74(6):1414–34 2017) [45]. It is found that the fluid flow and thermal performance are both influenced by the direction of moving lids and the undulations of the wavy bottom surface of the chamber. Optimum thermal performance is noticed when the wavy bottom surface of the chamber is employed with one undulation at low Richardson number (Ri). Moreover, for $$Ri=0.01$$ , Case-2, in which the upper lid is moving in left direction and the left lid is moving in upward direction, gives better heat transfer rate with maximum value of average Nusselt number for one undulation. Furthermore, it is noticed that among all the cases, the cases (Case-2 and Case-4) in which upper lid is moving in left direction produce minimum entropy generation for every undulations of the wavy surface with each of the Ri values. So, on the basis of better heat transfer rate and the minimum entropy generation, Case-2 and Case-4 may be recommended as optimum configurations.

Multi-objective optimization of turbulent jet impingement cooling system : A thermal and thermodynamic study

In this paper, an optimization methodology for turbulent air jet impingement cooling system is reported. The continuity, Reynolds-Averaged Navier-Stokes, turbulent kinetic energy (k), turbulent dissipation rate (ε) and energy equations are solved using the Streamline Upwind/Petrov-Galerkin (SUPG) Finite Element (FE) Method. In this study, Reynolds number (Rej ) and channel height (H/L) are selected as design parameters. The influence of design parameters on turbulent flow, heat transfer and entropy generation distribution for the system are presented and discussed. As Rej increases and H/L decreases, the magnitude of overall Nusselt number and global total entropy generation increases. Subsequently, the Multi-Objective Genetic Algorithm (MOGA) was introduced to achieve optimal impingement system configurations with maximum heat transfer and minimum entropy generation.

Radiative thermal criticality and entropy generation of hydromagnetic reactive Powell-Eyring fluid in saturated porous media with variable conductivity

Theoretical study of inherent irreversibility and thermal runaway of an exothermic reactive Eyring-Powell fluid flow through a saturated porous fixed horizontal channel with thermal radiation and variable electrical conductivity is investigated. The reactive conducting fluid under bimolecular chemical rate law is propelled by pressure gradient. Ignoring the material assumptions, the governing dimensionless equations of the flow model are solved using semi discretization finite difference techniques coupled with weighted residual method. The results in terms of flow rate, temperature, thermal runaway, Bejan number and entropy generation are presented in graphical form. From the results, it is observed that parameter which argument the entropy production rate also enhances the Bejan number. Also, minimization of entropy generation is achieved at low values of thermal radiation, dissipation rate, electric field loading and viscosity variables.

Thermohydraulic performance and second law analysis of a tube embedded with multiple helical tape inserts

ABSTRACT The present investigation deals with the analysis of the heat exchanger tube by inserting the multiple helical tape geometry to determine the heat transfer, friction factor, thermal performance, and entropy generation experimentally. The helical tapes designed for current investigation are analyzed in terms of geometrical parameters namely number of tape (1,2,3), twist ratio (2,3,4), and width ratio (0.4). The experiments are conducted in the range of Reynolds number lying in turbulent region from 5000 to 29000. The experimentation affirms an enhancement of the thermal performance. The experimental data reveal that there is 3.95 times enhancement in the heat transfer for twist ratio of 2 and number of tapes of 3. The thermal performance factor is enhanced by 1.23 times over smooth tube for the twist ratio of 2 and number of tapes of 1. It is observed that the maximum heat transfer enhancement is found for low and high values of twist ratio and number of tapes, respectively. The rate of entropy generation is less for the tube equipped with helical tape inserts for all possible cases than smooth tube. The minimum entropy generation value of 0.27 is observed for twist ratio of 2 and number of tapes 3. The developed empirical correlations for Nusselt number, friction factor, and thermal performance factor are in good agreement with experimental results.

Combined thermal and moisture convection and entropy generation in an inclined rectangular enclosure partially saturated with porous wall: Nonlinear effects with Soret and Dufour numbers

An analysis of thermosolutal convection and entropy generation considering Soret and Dufour effects inside an inclined rectangular enclosure attached with porous wall has been investigated. The physical parameters are in the ranges such as buoyancy ratio (-10 ≤ N ≤ 10), permeability (10−9 ≤ Da ≤ 10−1) and thickness (0 ≤ d ≤ 1.0) of porous wall, enclosure inclination angle (0° ≤ Φ ≤ 90°), Soret number (0 ≤ Sr ≤ 1.5) and Dufour number (0 ≤ Du ≤ 1.5). Heatlines and masslines taking Soret and Dufour effects into account are obtained as effective tools that visualizes the heat and species transported paths. Results demonstrate that Soret number has mild impact on heat transfer rate and promotes moisture transportation, while increasing Dufour number could boot heat transfer rate and reduce moisture transfer rate. Furthermore, increasing Soret numbers enhances entropy generation induced by heat transfer and fluid friction, while entropy generation induced by fluid friction, heat and moisture transfer is dropped with stronger Dufour effect. Present work can benefit the heat and moisture transfer performance and entropy generation minimization of thermal storage wall system.

Optimization of a microchannel heat sink using entropy minimization and genetic aggregation algorithm

A copper heat sink with rectangular U-shaped microchannels for cooling high power laser diode arrays was numerically optimised. The control volume method based commercial software was applied for solving heat transfer and fluid flow in the considered device. The optimisation procedure included over 130 various geometrical configurations with five independent geometric parameters. The Entropy Generation Minimization criterion was applied to find the optimal geometric structure. Some relations between geometrical parameters of the microchannel heat sink were analysed through statistical studies and two most important ones, i.e., the relative height (α) and width (β) of a single microchannel, were selected. Using the genetic aggregation, the entropy generation characteristics were determined as a function of α and β as well as mass flow rate of cooling medium (Ġ). The most optimal from the second law of thermodynamics point of view configuration was the one with αopt = 0.86, βopt = 0.347 and Ġ = 0.00183 kg/s. Comparing with the initial geometry, over 35% reduction of irreversibility losses for the optimal heat sink had been achieved, i.e., heat sink thermodynamic efficiency increases from 90.05% to 91.8%, while maximum temperature of cooled semiconductor element was reduced from 333.3 K to 324.2 K.

Entropy generation in convective radiative flow of a Casson nanofluid in non-Darcy porous medium with Hall current and activation energy: The multiple regression model

The present article’s primary goal is to analyze entropy generation on unsteady three dimensional thermally radiating magnetohydrodynamic flow of Casson nanofluid past a vertical stretching sheet embedded in a non-Darcy porous medium under the influence of mixed convection, Hall current, viscous dissipation, Ohmic heating, and heat generation. The combined effects of Brownian motion and thermophoretic diffusion are taken into consideration, and the impact of the chemical reaction initiated by activation energy is also incorporated in the flow-field. A mathematical model of the physical problem containing highly nonlinear coupled partial differential equations with convective boundary conditions is developed. Suitable similarity transformation is applied to convert the governing highly nonlinear coupled partial differential equations into nonlinear coupled ordinary differential equations, and then the resulting nonlinear coupled ordinary differential equations are numerically solved with the help of the spectral quasi-linearization method. A detailed investigation is performed to illustrate the impact of several pertinent flow parameters on the velocity, temperature, concentration, entropy generation and Bejan number profiles. In contrast, the numerical values of skin friction coefficients in x and z directions, local Nusselt number, and local Sherwood number are presented in tabular forms for varying values of pertinent flow parameters. Apart from this, linear and quadratic multiple regression analyses for the physical quantities of engineering interest have been executed to upgrade the present model’s efficiency and application in various industrial and engineering processes. With a variation in magnetic parameter, the maximum relative errors in the linear regression estimates for the skin- friction coefficients in x and z directions are found to be 2.28–2.37% and 0.85–1.72%, respectively. Besides, due to the enhancement in magnetic parameter, the maximum relative errors in the quadratic regression estimations for the reduced Nusselt number NuxRex−1/2 and the reduced Sherwood number ShxRex−1/2 are 0.56%−0.58% and 0.30%, respectively. It is observed that the error of each solution of the present physical problem approaches to be less than 10−8 in mere six iterations. Moreover, the findings of the current research work signify that the Brownian motion and thermophoretic diffusion minimize entropy generation adjacent to the sheet; on the contrary, activation energy intensifies entropy generation rate closer to the sheet. Furthermore, the appropriate resemblance is obtained through verifying the present results with previous existing results.

Purpose in Thermodynamics

This is a review of the concepts of purpose, direction, and objective in the discipline of thermodynamics, which is a pillar of physics, natural sciences, life science, and engineering science. Reviewed is the relentless evolution of this discipline toward accounting for evolutionary design with direction, and for establishing the concept of purpose in methodologies of modeling, analysis, teaching, and design optimization. Evolution is change after change toward flow access, with direction in time, and purpose. Evolution does not have an ‘end’. In thermodynamics, purpose is already the defining feature of methods that have emerged to guide and facilitate the generation, distribution, and use of motive power, heating, and cooling: thermodynamic optimization, exergy-based methods (i.e., exergetic, exergoeconomic, and exergoenvironmental analysis), entropy generation minimization, extended exergy, environomics, thermoecology, finite time thermodynamics, pinch analysis, animal design, geophysical flow design, and constructal law. What distinguishes these approaches are the purpose and the performance evaluation used in each method.

Impact of irreversibility ratio and entropy generation on three-dimensional Oldroyd-B fluid flow with relaxation–retardation viscous dissipation

The study is concerned with entropy minimization on three-dimensional magnetohydrodynamic Oldroyd-B fluid flow with relaxation–retardation viscous dissipation and a mixed chemical reaction. A numerical solution of the nonlinear transport equations is obtained using an overlapping grid spectral collocation numerical scheme. We investigate strategies for entropy generation minimization in terms of system parameters such as the mixed convection parameter and changes in thermal and concentration fields under different conditions. Further, the findings on changes in the axial and transverse skin friction coefficients, the Nusselt number and the Sherwood number are presented.

Investigation of entropy generation, efficiency, static and ideal pressure recovery coefficient in curved annular diffusers

The annular diffuser is used mostly in turbomachines for recovery of the discharge kinetic energy and increasing the total pressure. The performance of diffuser is strongly dependent on the geometry and inlet conditions. Therefore, the optimum design of the diffuser shape is highly important. On the other hand, it seems necessary to work on entropy generation in different geometries of diffusers to reach the maximum efficiency. In the present study, the turbulent flow in curved annular diffuser is numerically investigated for different area ratios (AR = 1.74, 2 and 2.3) and different turning angles (θ = 60°, 80° and 90°). Reynolds number based on mass averaged flow at the inlet is 136,822. In addition, the entropy generation rate due to turbulent and viscous dissipation, total entropy, volumetric entropy generation, static pressure recovery coefficient, ideal pressure recovery coefficient and diffuser effectiveness are studied. The results show that in order to design the curved annular diffusers to reach the maximum efficiency and minimum entropy generation in air-conditioning systems, the lowest value of area ratio and highest value of turning angle should be considered, respectively. Moreover, it was obtained that at constant area ratio, the entropy due to viscous dissipation and total entropy decrease with increasing the turning angle, while the diffuser effectiveness and static pressure recovery coefficient increase with increasing the turning angle. Also, by increasing the area ratio at constant turning angle, the volumetric entropy generation, total entropy and entropy due to turbulent dissipation increase.

Optimization-Based Strategies for Optimal Inverse Parameters Estimation for Heat Transfer Systems

Thermal design for electronic devices approached through the solution analysis of the Inverse Heat Transfer Problem (IHTP) has not been extensively explored. This article proposes an alternative strategy and a contrasting approach for the optimal inverse parameters’ estimation of heat transfer systems, particularly in designing heat sinks. A framework to tackle a Rectangular Microchannel Heat Sink (RMCHS) design modeled by the Entropy Generation Minimization (EGM) criterion is developed. This framework comprises two strategies to be compared. The serial proposal works sequentially depending on the parameters’ sensitivity into the RMCHS model, backpropagating estimated parameters to all processes. The parallel strategy processes all parameters simultaneously. Instead of focusing efforts on a typical optimization process, a sequential procedure takes advantage of the most influential parameters in the heat sink model and the excellent exploration-exploitation rate of Metaheuristic Optimization Algorithms (MOAs). The most sensitive design variables are prioritized in the serial strategy. The implemented estimation-optimization strategies are addressed through an IHTP’s inverse analysis. Thereby, global MOAs are implemented to solve the specific application and become an alternative to the gradient-based methods when their efficiency and effectiveness are at stake. MOAs show overall relative errors related to minimal entropy generation rate inferior to 0.07% for data with 30 dB of SNR and less than 7.63% of error for data with 10 dB of SNR compared with the Levenberg-Marquardt method. Numerical results show that serial strategy provided a stable and reliable design solution even with contaminated data, obtaining better performances than the multiparametric strategy. Additionally, parametric and nonparametric statistical tests were used to validate the appropriate optimization algorithm and the most reliable strategy. The statistical tests confirmed the optimal-inverse problem estimation and optimization improvement by combining the serial strategy and analyzed MOAs to design the RMCHS based on the EGM criterion.