Multi-scale vibration behavior of a graphite tube with an internal vapor–liquid–solid boiling flow

An, Min; Liu, Mingyan; Ma, Yue; Xu, Yangshuhan

doi:10.1016/j.powtec.2015.12.025

Cited by 20 publications

(6 citation statements)

References 38 publications

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“…With the high-level requirement of multifunctionalization and specialization in modern chemical science, the traditional metal heat exchanger fails to meet the demand of certain special fields, such as chemical acid and alkali wastewater treatment. − Characterized by excellent corrosion resistance and heat exchange performance, the graphite heat exchanger is most commonly used in the heat exchange process of corrosive medium. , The production process, however, has been restricted by the fluid leakage due to the poor mechanical strength of graphite. Hence, it is theoretically and practically significant to develop and explore novel thermal-conductive materials.…”

Section: Introductionmentioning

confidence: 99%

“…1−3 Characterized by excellent corrosion resistance and heat exchange performance, the graphite heat exchanger is most commonly used in the heat exchange process of corrosive medium. 4,5 The production process, however, has been restricted by the fluid leakage due to the poor mechanical strength of graphite. Hence, it is theoretically and practically significant to develop and explore novel thermal-conductive materials.…”

Section: Introductionmentioning

confidence: 99%

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Mussel-Inspired and Magnetic Co-functionalization of Hexagonal Boron Nitride in Poly(vinylidene fluoride) Composites Toward Enhanced Thermal and Mechanical Performance for Heat Exchangers

Cao

et al. 2018

ACS Appl. Mater. Interfaces

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Thermal-conductive polymer composites have developed to be a hotspot in academic and industrial fields recently. Both efficient heat transport and superior mechanical properties are of critical significance for high-performance thermal-conductive devices. In this paper, magnetic hexagonal boron nitride (mhBN) with excellent interfacial compatibility is successfully synthesized by dopamine and magnetic co-functionalization, and mhBN-poly(vinylidene fluoride) (mhBN-PVDF) composites with a combination of high thermal conductivity and outstanding mechanical property are achieved due to the integration of excellent interfacial interaction and aligned filler architecture into one material's system. The thermal conductivity increases from 0.35 W/(m K) for the 20 wt % pure BN-PVDF to 0.82 W/(m K) after the dopamine modification and further to 1.43 W/(m K) after alignment. The effective medium approximation model demonstrates that the optimization of mhBN orientation and decrease of thermal resistance are two major factors for the enhancement of thermal conductivity. Moreover, the mhBN-PVDF composites also exhibit excellent tensile strength (168.5 MPa at 15 wt % content) and impact strength (20-30 kJ/m). The significantly enhanced thermal and mechanical properties result in the excellent heat exchange ability and durability in the heat exchange test, which is important for potential application in the heat exchange industry.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Mussel-Inspired and Magnetic Co-functionalization of Hexagonal Boron Nitride in Poly(vinylidene fluoride) Composites Toward Enhanced Thermal and Mechanical Performance for Heat Exchangers

Cao

et al. 2018

ACS Appl. Mater. Interfaces

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“…The Daubechies wavelet in wavelet analysis has been applied to the analysis of PFS in mixing equipment owing to its advantages of compact support, orthogonality, and smoothness. − The second-order Daubechies (db2) wavelet has the characteristic of a small decomposition error and could be adopted as the optimal wavelet for pressure fluctuation analysis. , The time domain waveform diagram of the pressure fluctuation time series in QSM is decomposed into 12 scales by the db2 wavelet, as depicted in Figure at U L = 0.028 m/s and U G = 0.007 m/s. The d1–d12 reflect the high-frequency pulsation details of PFS.…”

Section: Resultsmentioning

confidence: 99%

Multiscale Turbulence Characteristics of Gas–Liquid Pressure Fluctuations in an Industrial Quatro Static Mixer

Yu,

Li,

Meng

et al. 2024

Ind. Eng. Chem. Res.

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The gas−liquid two-phase flow is of great significance to industrial production. The nonlinear turbulence characteristics of pressure fluctuation in a Quatro static mixer (QSM) are experimentally investigated under different superficial gas/liquid velocities to further study the flow characteristics of the gas−liquid two-phase. It is shown that there is a generalized self-similarity scaling law in the QSM, which is obtained by fitting the structure function of pressure fluctuation signals at different inlet and outlet flow velocities. Through self-similarity scaling law analysis, the scaling exponent parameters of the structure function of two-phase flow pressure fluctuation under apparent liquid velocity (U L ) = 0.028 m/s and different apparent gas velocities (U G ) in QSM are calculated. The calculation results show that the singular scaling exponent (γ) and intermittency parameter (β) are in the ranges of −0.142−0.311 and 0.286−0.966, respectively. This indicates that there exists an extended self-similarity scaling law in QSM under a low Reynolds number (Re). The R/S and autocorrelation analysis reveal that the detailed signals at the inlet and outlet have three similar flow behaviors, which consist of the liquid turbulence at the inlet, the bubble movement, breakup and coalescence, and the liquid swirling flow. The nonlinear analysis shows that flow in QSM presents a pseudohomogeneous flow pattern when the Hurst index (H) = 0.4−0.6, while it presents a heterogeneous flow pattern when H = 0.6−0.72. Support vector machine (SVM) and Random Forest models (RF) are utilized to better predict the flow pattern, with the recognition precision reaching 99.08 and 99.39%, respectively.

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“…where a J [n]ϕ J are the approximation coefficients (a x ) representing the low-frequency components, and d j [n] are the detail coefficients (d x ) representing the high frequencies of signal f (t) [15,24]. Wavelet analysis is a method of signal processing in the time-frequency range [14]. The use of wavelet transform in the analysis of thermal conductivity signals aims to denoise these signals [16,24].…”

Section: Methods Of Data Processingmentioning

confidence: 99%

“…There are many applications of wavelet analysis for measurement data processing. During data analysis, different wavelets can be used, e.g., Coiflets wavelets of the order of 1 [13], Daubechies wavelets of the order of 4 [14,15], or biorthogonal wavelets of the order of 3.1 [16]. As a result of data processing, the measurement accuracy [16] can be improved and data dimensionality reduced, which can then improve the learning ability of the neural network [17].…”

Section: Introductionmentioning

confidence: 99%

Prospects for the Application of Wavelet Analysis to the Results of Thermal Conductivity Express Control of Thermal Insulation Materials

et al. 2021

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This article discusses an express control method that allows in situ measurements of the thermal conductivity of insulation materials. Three samples of the most common thermal insulation materials, such as polyurethane, extruded polystyrene, and expanded polystyrene, were studied. Additionally, optical and organic glasses were investigated as materials with a stable value of thermal conductivity. For the measurement of thermal conductivity, the express control device, which implements the differential method of local heat influence, was used. The case studies were focused on the reduction of fluctuations of the measured signals caused by different influencing factors using wavelet transform. The application of wavelet transform for data processing decreased the thermal conductivity measurement’s relative error for organic glass SOL and optical glasses TF-1 and LK-5. The application of wavelet transform thermal conductivity measurement data for polyurethane, extruded polystyrene, and expanded polystyrene allowed to reduce twice the duration of express control while maintaining the same level of measurement error. The results of the investigation could be used to increase the accuracy in express control of the thermal conductivity of insulation materials by improving the data processing. This approach could be implemented in software and does not require a change in the design of the measuring equipment or the use of additional tools.

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Multi-scale vibration behavior of a graphite tube with an internal vapor–liquid–solid boiling flow

Cited by 20 publications

References 38 publications

Mussel-Inspired and Magnetic Co-functionalization of Hexagonal Boron Nitride in Poly(vinylidene fluoride) Composites Toward Enhanced Thermal and Mechanical Performance for Heat Exchangers

Mussel-Inspired and Magnetic Co-functionalization of Hexagonal Boron Nitride in Poly(vinylidene fluoride) Composites Toward Enhanced Thermal and Mechanical Performance for Heat Exchangers

Multiscale Turbulence Characteristics of Gas–Liquid Pressure Fluctuations in an Industrial Quatro Static Mixer

Prospects for the Application of Wavelet Analysis to the Results of Thermal Conductivity Express Control of Thermal Insulation Materials

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