Mechanical reliability analysis of nanoencapsulated phase change materials combining Monte Carlo technique and the finite element method

Forner-Escrig, Josep; Mondragón, Rosa; Hernández, Leonor; Palma, Roberto

doi:10.1016/j.mechmat.2021.103886

Cited by 2 publications

(2 citation statements)

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“…Furthermore, the use of a probabilistic criterion allows lowering the number of necessary MC iterations to reach numerical convergence. [ 21 ] The POF values displayed in Figure correspond to those evaluated by a probabilistic criterion.…”

Section: Resultsmentioning

confidence: 99%

“…The consideration of these uncertainties demonstrates the need to adopt a probabilistic numerical tool to predict nePCM behavior, as shown in the literature. [ 20,21 ] For this reason, the thermomechanical phase‐change FE model is combined with Monte Carlo (MC) techniques, a class of algorithms that use statistically generated samples to approach the solution of a model in a probabilistic sense. These samples are the model's input and outputs that are obtained by evaluating the FE model.…”

Section: Introductionmentioning

confidence: 99%

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Numerical Modeling of the Mechanical Reliability of Multicoated Nanoencapsulated Phase‐Change Materials with Improved Thermal Performance

et al. 2022

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Nanoencapsulated phase‐change materials (nePCMs) are investigated for enhancing thermal energy storage. However, the shell of these nanocapsules may fail due to stress developed during thermal processes, leading to melting enthalpy loss. To overcome this problem, SiO2 and Al2O3 coatings on Sn nanoparticles are synthesized by atomic layer deposition (ALD). To study the influence of shell thickness and composition on the probability of failure (POF) of nePCM shells in single‐ and multicoated nePCMs, a probabilistic numerical tool combining Monte Carlo techniques and a thermomechanical finite‐element model with phase change are used. The uncertainties of the material and geometrical properties of nePCMs are included in the analysis. Both deterministic and probabilistic failure criteria are taken into account to consider the effect of dispersion on tensile strength. The results indicate that multicoated nePCMs enhance thermomechanical performance in relation to their single‐coated counterparts. Both the numerical simulations and experiments confirm that the POF of nePCM shells and melting enthalpy loss in multicoated nePCMs lower with shell thickness. The results after 50 ALD cycles indicate that Al2O3 coatings exhibit better performance because a POF of 1.66% is obtained with 1.1% enthalpy loss, while the POF for SiO2 is 72.38% with 3.5% enthalpy loss.

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Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Numerical Modeling of the Mechanical Reliability of Multicoated Nanoencapsulated Phase‐Change Materials with Improved Thermal Performance

et al. 2022

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Evaluation and Management of Intangible Assets of High-Tech Enterprises from the Perspective of Monte Carlo and Network Security

Wan

2021

Mobile Information Systems

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High-tech enterprises are knowledge- and technology-intensive economic entities. These entities are considered intangible assets and an essential part of the enterprises. The fast and effective development of high-tech enterprises requires scientific evaluation of intangible assets. Therefore, the evaluation of intangible assets of high-tech enterprises has become more significant in the evaluation industry. This article uses the Monte Carlo method to evaluate the intangible assets of high-tech enterprises from the perspective of network security. This paper combines the weighted average cost of capital (WACC) with the capital asset pricing model (CAPM) to determine the rate of return. It uses the analytic hierarchy process (AHP) method to determine the weight. It determines the value of various intangible assets based on the contribution of various intangible assets to the overall intangible asset value. Moreover, the Monte Carlo model is used in the probability determination process to evaluate intangible assets. In practical applications of a high-tech enterprise, the advancement and practicability of this method are verified by comparing it with the income method.

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Mechanical reliability analysis of nanoencapsulated phase change materials combining Monte Carlo technique and the finite element method

Cited by 2 publications

References 26 publications

Numerical Modeling of the Mechanical Reliability of Multicoated Nanoencapsulated Phase‐Change Materials with Improved Thermal Performance

Numerical Modeling of the Mechanical Reliability of Multicoated Nanoencapsulated Phase‐Change Materials with Improved Thermal Performance

Evaluation and Management of Intangible Assets of High-Tech Enterprises from the Perspective of Monte Carlo and Network Security

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