دانلود مقاله ISI انگلیسی شماره 10577
عنوان فارسی مقاله

بهینه سازی عددی مخزن حرارت مبتنی بر PCM با پره های داخلی

کد مقاله سال انتشار مقاله انگلیسی ترجمه فارسی تعداد کلمات
10577 2013 8 صفحه PDF سفارش دهید محاسبه نشده
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عنوان انگلیسی
Numerical optimization of a PCM-based heat sink with internal fins

Publisher : Elsevier - Science Direct (الزویر - ساینس دایرکت)

Journal : International Journal of Heat and Mass Transfer, Volume 61, June 2013, Pages 638–645

کلمات کلیدی
() فاز تغییر مواد () - سیستم مدیریت حرارت گرمایی نهان - نزول حرارت کامپوزیت - خنک کننده الکترونیک - بهینه سازی - درصد -
پیش نمایش مقاله
پیش نمایش مقاله بهینه سازی عددی مخزن حرارت مبتنی بر PCM با پره های داخلی

چکیده انگلیسی

This study presents an optimization procedure for the design of a Latent Heat Thermal Management System (LHTMS), used for cooling an electronic device with transient and high heat generation. The LHTMS consists of Phase Change Material (PCM) combined with internal fins, which are used for creating high conductive paths into the PCM. The optimization is performed with a sole aim of minimizing the LHTMS height, while still maintaining the capability of absorbing the heat generated by the electronic device, and without exceeding the maximum allowable temperature. Two dimensional, three-parametric, finite element (FEM) simulations are performed, with systematically varying both the number and thickness of the fins under several LHTMS heights. The optimized results of this study are presented and discussed, emphasizing the derived optimal PCM percentages, which are an essential parameter in designing an LHTMS. These results show that optimal PCM percentages depend on the number and the length of the fins, the heat flux at the interface, and the difference between the critical and liquidus temperatures of the PCM.

مقدمه انگلیسی

One of the fast advancing technologies, used for stabilizing the temperature of high power density electronics experiencing power spikes, is the incorporation of PCM (Phase Change Material) into traditional heat sinks such as the standard pin fin and the longitudinal plate fins. The advantage of most PCMs is the relatively high thermal storage density which allows the design of a compact and passive LHTMS (latent heat thermal management system). Unfortunately, most of these PCMs have relatively low thermal diffusivities in both the liquid and solid phases. Thus combining pins or longitudinal plate fins inside the PCM improves its heat transfer capabilities due to the high thermal conductivity paths created by the incorporated metal elements. These paths decrease the thermal gradients in the PCM and allow the maintenance of the temperature across it closer to the melting temperature of the PCM. Shanmugasundaram et al. [1] have investigated numerically the performance of an LHTMS which consists of a metallic container enclosing a series of vertical aluminum fins embedded in a PCM (Aristowax). The thermal performance was investigated by varying the number of fins, while keeping the total mass constant for both the aluminum and the PCM. The investigation was carried out for two additional different values of the total mass. The authors report that an increase in the number of fins leads to a significant improvement in the thermal performance of the system, while also making the temperature distribution across the heat source near-isothermal. In addition, it was found that a very large number of fins does not result in any significant additional gain in the thermal performance. Leland and Recktenwald [2] have used a finite difference model implemented in MATLAB to optimize the geometry of a PCM heat sink subjected to a constant heat flux at its bottom base and forced convection to the surroundings, at the top. The purpose of the study was solely to minimize the critical time of the heat sink, i.e., the time needed to reach the maximum allowed temperature. They concluded that in such a case, there should be a small gap between the fin tip and the top of the enclosure. The search for the optimal point was performed by a rather simple, trial-and-error, variation of three parameters: the width of the fins, the thickness of the base and the width of the gap between the fin tip and the enclosure rear end, changing each parameter at a time, while the number of fins was held constant for all cases. Effects of convection in the molten PCM, edge effects at the ambient boundary and variations in power density in the heat sink base were neglected in this study. The optimal PCM percentage, obtained in their study, was 72.5% for a heat flux of 16 kW/m2. Another interesting conclusion was that the isotherms of the PCM were nearly parallel to the longitudinal fin. Akhilesh et al. [3] analyzed an LHTMS, consisting of a heat sink with PCM between its fins. Through analysis and simulations they demonstrated that the maximization of critical times can be achieved when the LHTMS geometry is designed such that complete melting of all the PCM is achieved simultaneously when the critical temperature is reached. Using scaling analysis, the authors came up with an estimate of critical fin thickness which assures complete melting, and presented its correlation vs. PCM percentage. In addition, for the parameters of the study, it was hypothesized that the critical time of the LHTMS increases linearly with PCM percentage. These findings were obtained for an assumed, one-dimensional linear temperature profile in the molten PCM and lumped-parameter treatment of the fins. Thus, deviations from the numerical results arise as the heat flux to the LHTMS base and/or the fins length increase. Nonetheless, it could be expected, based on their findings [3], that for low heat fluxes and relatively short fins, the optimal PCM percentage would approach unity, as critical times increase linearly with PCM percentage. Srinivas and Ananthasuresh [4] have implemented the Simple Isotropic Interpolation with Penalty method (SIMP) in performing topology optimization of heat sinks combined with PCM. Topology optimization is a systematic design technique which aims at arriving at an optimal distribution of material within a given design to minimize an objective function while satisfying certain constrains. The method they utilized requires an initial guess for the PCM and aluminum fractions in the design domain. They demonstrated that the optimization might produce only a local minimum in the proximity of the initial guess. A search for the global minimum of the optimization parameter was not discussed in that study. Shatikian et al. [5] and [6] explored numerically the melting in a heat storage unit with vertical internal aluminum fins. Three and two dimensional transient simulations were performed using the Computational Fluid Dynamics (CFD) method. In these simulations, a most complete formulation had been attempted, which considered PCM internal convection, PCM volume change associated with phase transition, density and viscosity variation in the liquid PCM and heat transfer to the surrounding air. In a detailed parametric investigation, it was demonstrated how the melting process is affected by changes in the geometry of the system and boundary conditions. Changes in geometry included thickness and length of the fins. While varying the thickness of the fins, the thickness ratio of a fin to a PCM layer was held constant, at an arbitrary ratio of 0.3. A dimensional analysis of the results showed that the Nusselt number and melt fraction depend on the product of the Fourier and Stefan numbers, while for relatively wide vertical PCM layers, the Rayleigh number is also included, accounting for internal convection at advanced stages of melting. The analysis was achieved both for constant temperature and constant heat flux boundary conditions at the base of the heat storage device. The dimensional analysis showed consistent results for both cases. However, it appears that for a constant heat flux at the base, fin efficiency considerations could not be used for generalization. An advanced optimization technique, based on genetic algorithm (GA) combined with conventional finite volume numerical method, was implemented by Narasimhan et al. [7] for the optimization of a PCM based heat sink. The optimization was performed for 4 parameters representing the geometry of a segment within the heat sink: fin and PCM layer thickness, thickness at the base and rear end of the heat sink. A 16 bit number was used as a signature for a particular design specifying all the variables. In the GA method, an initial population of representative numbers begins to “breed” by implementing crossover and mutation operators. In each generation, a new population is created which retains the “best individuals” of the previous generation and replaces the rest of the “individuals” by their “offspring”. The fitness function, which indicates an individual’s chances of reproducing and surviving through generations, used in this study, is chosen to account for maximizing critical time and ensuring complete melting of the PCM. Different weights were applied to both optimization parameters while assuring that full utilization of the PCM remains the primary objective. For a constant heat flux of 25 kW/m2, the optimal thickness of the heat spreading base was 2.5% of the length of the fins, the critical time correlated linearly with the length of the fins with slightly better results than introduced by Akhilesh et al. [3], and, the optimal PCM percentage correlated linearly with the length of the fins in the range of 50 mm to 100 mm, yielding values of 79% and 73% at both ends, respectively. In addition, the total width of the fin and PCM layer thickness was consistently chosen as the minimal boundary set for the parameter, corroborating that the best design should comprise of an infinite number of internal fins with an infinitesimal thickness, to facilitate better heat distribution in the PCM heat sink. In a recent study, Balaji et al. [8] have attempted to optimize composite heat sinks by considering trapezoidal and parabolic shapes of the internal fins. Although these shapes did not yield any advantage during melting, over rectangular shaped fins with optimal dimensions as presented by Akhilesh et al. [3], it was concluded that, for these shapes, the time required for total re-solidification was much lower. It was then proposed to perform a multi-objective optimization, where a compromise is made with regard to the critical time, in order to achieve a shorter period of re-solidification. Although these two objectives are in mutual conflict, the unique shape proposed for the fins could be considered in several special cases wherein the device being cooled operates in cycles of heating and cooling with the requirement for the re-solidification time to be relatively short. Similar to the above cited studies, the present study presents an optimization procedure for internal longitudinal plate fins of an LHTMS used for cooling an electronic device with transient and high heat generation. Uniquely, the optimization is performed with a sole aim of minimizing the LHTMS height, while still absorbing the heat generated by the electronic device, without exceeding the maximum allowed temperature. 2D finite element (FEM) simulations are performed, with systematically varying both the number and thickness of the fins under several LHTMS heights. For this three-parametric analysis, a program was written for performing automatic FEM simulations by ANSYS. The advantage of using this straight-forward approach is the assurance that the optimal combination of parameters is indeed a global optimum, as opposed to local optima to which other heuristic search algorithms, such as GA and SIMP, might converge. The numerical calculations in this study are based solely on conduction while neglecting internal convection. It is assumed that the calculated Rayleigh numbers, based on the LHTMS height, are well below the range of 106–107, set by Gadgil and Gobin [9] as the criterion for the dominance of internal convection. This study extensively explores the influence of fins’ number, length, and height on the optimal PCM percentage, which is an essential parameter in designing the LHTMS.

نتیجه گیری انگلیسی

The sole aim of the optimization performed in this study was to obtain the LHTMS minimum height, needed to fulfill the requirement for the critical time, by finding the optimal combination of PCM percentage, number of fins per unit system width and their length ratios. Neglecting convection, two-dimensional numerical solutions are used to obtain the critical times for the LHTMS for different Nusselt numbers representing various LHTMS heights. As expected, and demonstrated by other studies [1], [2], [3], [4], [5], [6], [7] and [8], incorporating fins in the LHTMS results in improved performance, while a very large number of fins does not lead to further gain in critical times. Thus, for a typical LHTMS, it is rather important to predicate the optimization procedure on the number of fins in order to avoid a reduced performance, on the one hand, and to minimize manufacturing costs, on the other. Results of this study are presented and discussed with the emphasis on the derived optimal PCM percentages. It is shown that these depend on the number and the length of the fins, on the heat flux at the interface, and on the difference between the critical and the liquidus temperatures. In particular, as the difference between the critical and liquidus temperatures increases, thinner fins are required, and thus optimal PCM percentages are expected to be higher. In general, it is apparent that optimal PCM percentages are inversely related to the range of temperatures expected in the PCM, at the moment critical temperature is reached at the interface. As the length of the fins and the interface heat flux are reduced, the temperature range inside the PCM is expected to decrease and thus the optimal PCM percentages are expected to increase. On the other hand, decreasing the number of fins should increase the temperature range and thus reduce the optimal PCM percentages. While full utilization of the PCM was required for an optimal design by previous authors [3] and [7], the findings of this study demonstrate that maximum critical times could be attained for effectiveness values of less than 100% – implying that not all the PCM is required to melt completely. For the optimal LHTMS design obtained in this study, once the critical temperature is reached at the interface, all the PCM has initiated melting, i.e., all of it passed its solidus temperature, while, on the other hand, only a portion of it (∼50%) has completed melting and passed the liquidus temperature. This contradiction with the requirement of complete PCM melting could, perhaps, be explained by the fact that the PCM used in this study has a relatively wide melting range, and thus the contribution of partially melting regions to the heat absorption in the PCM is rather significant. In addition, an assumption was made by previous authors [3] for the orientation of the isotherms which were assumed to be parallel to the longitudinal direction of the fins. As demonstrated, this assumption is not necessarily valid under the assumptions of this study.

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