Identification of materials in a hyperbolic annular fin for a given temperature requirement

Das, Ranjan

doi:10.1080/17415977.2015.1017486

Cited by 25 publications

(6 citation statements)

References 43 publications

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“…Based on the given situation, a multitude of possible unknowns may sometimes converge to satisfy a particular objective. 20 Within the purview of porous as well as other type of fins, inverse problems are somewhat fewer in number 20,21 ; albeit, there are several simplified assumptions that deviate from an actual working situation. Complete temperature dependency for all heat transfer modes in porous fins is only available for rectangular geometries.…”

Section: Introductionmentioning

confidence: 99%

Quantification of thermal energy generation in annular hyperbolic porous-finned heat sinks using inverse optimization

Pal

Das

2021

Proceedings of the Institution of Mechanical Engineers, Part E:

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The present paper introduces an accurate numerical procedure to assess the internal thermal energy generation in an annular porous-finned heat sink from the sole assessment of surface temperature profile using the golden section search technique. All possible heat transfer modes and temperature dependence of all thermal parameters are accounted for in the present nonlinear model. At first, the direct problem is numerically solved using the Runge–Kutta method, whereas for predicting the prevailing heat generation within a given generalized fin domain an inverse method is used with the aid of the golden section search technique. After simplifications, the proposed scheme is credibly verified with other methodologies reported in the existing literature. Numerical predictions are performed under different levels of Gaussian noise from which accurate reconstructions are observed for measurement error up to 20%. The sensitivity study deciphers that the surface temperature field in itself is a strong function of the surface porosity, and the same is controlled through a joint trade-off among heat generation and other thermo-geometrical parameters. The present results acquired from the golden section search technique-assisted inverse method are proposed to be suitable for designing effective and robust porous fin heat sinks in order to deliver safe and enhanced heat transfer along with significant weight reduction with respect to the conventionally used systems. The present inverse estimation technique is proposed to be robust as it can be easily tailored to analyse all possible geometries manufactured from any material in a more accurate manner by taking into account all feasible heat transfer modes.

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Section: Introductionmentioning

confidence: 99%

Quantification of thermal energy generation in annular hyperbolic porous-finned heat sinks using inverse optimization

Pal

Das

2021

Proceedings of the Institution of Mechanical Engineers, Part E:

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“…Una breve revisión de la literatura acerca de los problemas inversos para la estimación de parámetros muestra que en el trabajo de Dasa [7] se predijo la conductividad térmica y el coeficiente de temperatura superficial de una aleta hiperbólica haciendo uso de un algoritmo de optimización. Adicionalmente, Adamsyk [8] describió una técnica experimental combinada con la solución de un problema inverso para la estimación de la conductividad térmica de materiales isótropos y ortótropos haciendo uso de métodos clásicos de optimización tales como Levenberg-Mardquardt.…”

Section: Introductionunclassified

Algoritmos de optimización en la estimación de propiedades termodinámicas en tiempo real durante el tratamiento térmico de materiales con microondas

García

Amaya

Correa

2017

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Este artículo puede compartirse bajo la licencia CC BY-ND 4.0 y se referencia usando el siguiente formato: E. García, I. Amaya, R. Correa, "Algoritmos de optimización en la estimación de propiedades termodinámicas en tiempo real durante el tratamiento térmico de materiales con microondas", UIS Ingenierías, vol. RESUMENEste trabajo considera la predicción en tiempo real de parámetros térmicos de una muestra sometida a radiación. Se estimaron la conductividad térmica y la capacidad calorífica. Se modeló el flujo volumétrico interno de calor uniforme y constante en el tiempo. Para resolver el problema inverso se usaron algoritmos de optimización global tales como el método de la espiral, el método de búsqueda en vórtice, el método de pesos ponderados, el método de enjambre de partículas unificado, el método de optimización del campo electromagnético y el método de búsqueda armónica de ancho auto-regulado. Los resultados muestran que todos los algoritmos empleados estiman correctamente estos dos parámetros siempre y cuando, la relación señal a ruido (SNR) de las muestras (simuladas en este trabajo) esté por encima de 30 [dB]. Por ende, para propósitos prácticos, si se dispone de un buen diseño experimental y una buena instrumentación, se podrían estimar con alta precisión estos parámetros en tiempo real. PALABRAS CLAVE:Calentamiento por microondas, Estimación de parámetros, Métodos de optimización global, Problema inverso. ABSTRACTThis work considers the real-time prediction of thermal parameters for a cylindrical sample heated in a uniform electromagnetic field. The thermal conductivity ( ) and the heat capacity ( ) were estimated for the present case. The inner volumetric electromagnetic flux radiation process was modeled as uniform and constant in time. The spiral optimization algorithm (SOA), the vortex search (VS), the weighted attraction method (WAM), the unified particle swarm optimization (UPSO), the electromagnetic field optimization (EFO) and the self-regulated fret-width harmony search algorithm (SFHS) were used to solve the ill-posed inverse problem. Results showed that all employed algorithms correctly estimated these two parameter only if the signal-to-noise-ratio of the measured samples (simulated in this work) were above of 30 [dB]. Therefore, for practical purposes, these parameters can be estimated in real-time if a good experimental design and a correctly specified electronic instrumentation are available.

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“…6 It has been found that many feasible combinations of unknown parameters involving different materials, sizes, and dissimilar operating conditions can yield the same criterion, which may be a given temperature distribution, power output, or any other performance parameter pertaining to the system behavior. 7,8 As either optimization or regularization is necessary for successfully solving an inverse problem, so, one of the common difficulties encountered in the past is the unavailability of potential algorithms for handling complex problems. Furthermore, earlier optimization methodologies could not perform an intelligent searching to get close to the desired solution.…”

Section: Introductionmentioning

confidence: 99%

Application of artificial bee colony algorithm for maximizing heat transfer in a perforated fin

Das

Singh

Akay

et al. 2016

Proceedings of the Institution of Mechanical Engineers, Part E:

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In this paper, an application of the inverse method based on the artificial bee colony algorithm has been demonstrated for estimating unknown dimensions of a rectangular perforated fin. The analysis has been done to maximize the heat transfer rate for a given volume occupied by the fin. The perforated fin has been assumed to dissipate heat by virtue of natural convection and surface radiation. The least square mismatch between a given volume and an initially guessed one is used to define the objective function that in turn has been minimized using the artificial bee colony algorithm. A comparative study reveals the advantage of the artificial bee colony algorithm against other evolutionary and stochastic optimization methods for the present problem. Since, there exist multiple dimensions satisfying a given volume, so, the most optimal dimension has been identified on the basis of a heat transfer rate maximization criterion. The study reveals that a given amount of heat transfer rate can be achieved with multiple combinations of the fin surface area and even a particular value of surface area can result in different heat transfer rates.

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Identification of materials in a hyperbolic annular fin for a given temperature requirement

Cited by 25 publications

References 43 publications

Quantification of thermal energy generation in annular hyperbolic porous-finned heat sinks using inverse optimization

Quantification of thermal energy generation in annular hyperbolic porous-finned heat sinks using inverse optimization

Algoritmos de optimización en la estimación de propiedades termodinámicas en tiempo real durante el tratamiento térmico de materiales con microondas

Application of artificial bee colony algorithm for maximizing heat transfer in a perforated fin

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