Application of an improved firework algorithm for simultaneous estimation of temperature-dependent thermal and optical properties of molten salt

Ren, Yukun; Qi, Hong; He, Ming-Jian; Ruan, Shi-Ting; Ruan, Li-Ming; Tan, He‐Ping

doi:10.1016/j.icheatmasstransfer.2016.06.012

Cited by 26 publications

(2 citation statements)

References 34 publications

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“…Naturally, techniques that seek to simultaneously estimate temperature-dependent thermal properties have also been studied and presented. Most evaluate temperature dependence using data regressions within small temperature ranges, and do not consider data corresponding to the entire temperature domain [39][40][41][42]. These approaches require experiments or numerical simulations, where the sample is subjected to different initial conditions.…”

Section: Introductionmentioning

confidence: 99%

Complementary transient thermal models and metaheuristics to simultaneously identify linearly temperature-dependent thermal properties of austenitic stainless steels

Ramos¹,

Antunes²,

Silva³

2022

Phys. Scr.

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This paper presents an experimental approach for simultaneously identifying the temperature-dependent thermal conductivity (k) and specific heat (cp) of 304 austenitic stainless steel (ASS) using complementary transient experiments and metaheuristics. Inverse thermal analysis was based on two heat conducting solids with different geometries. In estimation problems in general, one seeks to obtain as much sensitive data as possible using as few sensors as possible. Single thermocouple data were collected for each thermal model. An objective function fitting these complementary measurements to the corresponding numerical temperatures was minimized using the Lichtenberg algorithm. This metaheuristic algorithm takes advantage of more sensitive information provided by using complementary data, enabling for an accurate inverse solution, even when dealing with wide search ranges. The proposed technique provides a cost-effective and robust property estimation from tests conducted at room temperature. Single-step estimation occurred throughout the whole temperature domain to determine the parameters for linear functions representing the temperature dependence of k and cp. The obtained lines agreed well with curves from the literature. The 95% confidence bounds for the parameters of interest indicated deviations below ± 8.5%. Error analysis considering numerical and experimental processes showed an uncertainty close to ± 3%, applied to all estimated parameters.

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Section: Introductionmentioning

confidence: 99%

Complementary transient thermal models and metaheuristics to simultaneously identify linearly temperature-dependent thermal properties of austenitic stainless steels

Ramos¹,

Antunes²,

Silva³

2022

Phys. Scr.

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“…Recently, many researchers have presented techniques to simultaneously estimate temperature-dependent thermal properties, such as Sadeghi et al [8] who determined thermal conductivity and diffusivity of SiC samples by applying the microwave heating process, Zamel et al [9] who presented an improved firework algorithm to solve inverse problems allowing simultaneous estimation of properties of molten salt, and Öztürk et al [10] who presented a method to estimate thermal conductivity and specific heat temperature-dependent of thermal protective fabric with good results. Other studies were performed [11,12,13,14,15,16], but none of them included the possibility of estimating thermal properties of metals depending on temperature simultaneously. Moreover, the experimental apparatus for most of these techniques is usually expensive.…”

Section: Introductionmentioning

confidence: 99%

A Different Approach to Estimate Temperature-Dependent Thermal Properties of Metallic Materials

Carollo

Silva

2019

Materials

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Thermal conductivity, λ, and volumetric heat capacity, ρcp, variables that depend on temperature were simultaneously estimated in a diverse technique applied to AISI 1045 and AISI 304 samples. Two distinctive intensities of heat flux were imposed to provide a more accurate simultaneous estimation in the same experiment. A constant heat flux was imposed on the upper surface of the sample while the temperature was measured on the opposite insulated surface. The sensitivity coefficients were analyzed to provide the thermal property estimation. The Broydon-Fletcher-Goldfarb-Shanno (BFGS) optimization technique was applied to minimize an objective function. The squared difference objective function of the numerical and experimental temperatures was defined considering the error generated by the contact resistance. The temperature was numerically calculated by using the finite difference method. In addition, the reliability of the results was assured by an uncertainty analysis. Results showing a difference lower than 7% were obtained for λ and ρcp, and the uncertainty values were above 5%.

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Comparative performance assessment of different absorber tube geometries for parabolic trough solar collector using nanofluid

Khan

Yan

Ali

et al. 2020

J Therm Anal Calorim

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Application of an improved firework algorithm for simultaneous estimation of temperature-dependent thermal and optical properties of molten salt

Cited by 26 publications

References 34 publications

Complementary transient thermal models and metaheuristics to simultaneously identify linearly temperature-dependent thermal properties of austenitic stainless steels

Complementary transient thermal models and metaheuristics to simultaneously identify linearly temperature-dependent thermal properties of austenitic stainless steels

A Different Approach to Estimate Temperature-Dependent Thermal Properties of Metallic Materials

Comparative performance assessment of different absorber tube geometries for parabolic trough solar collector using nanofluid

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