Investigation of vortex motion mechanism of synthetic jet in a cross flow

Dong, Xiangrui; Hao, Chunyang; Dong, Yinlin; Liu, Chaoqun; Li, Yalu

doi:10.1063/5.0086084

Cited by 3 publications

(4 citation statements)

References 33 publications

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“…The multi-orifice SJ's optimum frequency is lower than the single-orifice SJ's. Dong et al, [54] has found that the primary clockwise vortex is favoured by low frequency and small amplitude, whereas the anticlockwise vortex is favoured by high frequency and large amplitude. Ahmad and Qayoum [55] has found that a SJ with a single orifice and a double orifice operates at its resonance frequency when its velocity reaches a maximum value to produce upward sweep vortices.…”

Section: Frequency Analysismentioning

confidence: 99%

Current Review on Numerical Simulation of Synthetic Jet (SJ) Cooling

Radhiah

Firdaus

Yusof

2023

CFDL

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This paper reviews the working principles and numerical approach for the synthetic jet cooling in the previous studies. It is essential to reviews relevant previous research within the study scope in order to further enhance the improvement of synthetic jet technology. Furthermore, numerical approach can cut the cost and save time compared to experimental works. Numerical simulation is crucial to expedite the synthetic jet product enhancement as it opens up big potential in electronic device application. Studies carried out by many scholars within the scope of this publication have demonstrated that resonance frequency enhances the performance of synthetic jet. Reynold numbers vary with frequency, and greater Reynold numbers produced higher heat transfer coefficients. The majority of researchers have also chosen the cylindrical cavity type because it offers superior velocity output, which improves cooling performance. According to previous studies, a smaller diameter leads to a higher velocity output and a higher Reynold number

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Section: Frequency Analysismentioning

confidence: 99%

Current Review on Numerical Simulation of Synthetic Jet (SJ) Cooling

Radhiah

Firdaus

Yusof

2023

CFDL

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“…Xu et al found Liutex similarity, i.e., both the frequency and wavenumber spectrum of Liutex match the -5/3 law [14][15][16]. More reports on Liutex application can be found from [17][18][19][20][21][22][23][24][25][26][27][28][29] and four published books [30][31][32][33]. Liutex is considered as the vortex definition in this chapter.…”

Section: Introductionmentioning

confidence: 98%

Algorithm to Generate Liutex Core Lines Based on Forward Liutex Magnitude Gradient Lines

Yu,

Liu

2024

Vortex Simulation and Identification

Self Cite

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Vortex definition and identification are extremely important for the study of fluid dynamics research. Liutex is a newly proposed concept that correctly represents vortex. Liutex is a vector whose direction is the local rotation axis and whose magnitude is twice the angular speed. To identify the unique structure of a vortex, a method known as the Liutex Core Line method has been developed, which displays the rotational core axis of a vortex. However, the original method is a manual method, which is not practical for real application, and an automatic algorithm is required for practical usage. Xu et al. proposed an algorithm by selecting the best line from a group of candidate lines, which is an important progress. In this chapter, from another perspective to solve this problem, a new algorithm is introduced based on forward Liutex magnitude gradient lines. Since gradient lines have the feature that they advance to the local maximums, the route will still result in a unique line, which avoids the process to find the best line. This algorithm has achieved some success for the Lambda vortex in early boundary layer transition.

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“…Generally, the difference in the working principles of different SThMs [31][32][33][34] and the uncertainty in the thermal contact resistance at the tip-sample interface make it hard to derive a quantitative calculation of local thermal conductivity. [35][36][37][38] A linear mathematical model was developed in a recent report by Li et al to predict the thermal conductivity of PVA through the quantitative evaluation of the thermal contact resistance of PDMS and epoxy resin systems, demonstrating its applicability to polymer system. [39,40] However, when it is extended to other materials, the thermal contact resistance at the tip-sample interface may be not of the same order of magnitude due to the difference in material properties (such as microhardness, etc.…”

Section: Introductionmentioning

confidence: 99%

“…Generally, the difference in the working principles of different SThMs [ 31–34 ] and the uncertainty in the thermal contact resistance at the tip‐sample interface make it hard to derive a quantitative calculation of local thermal conductivity. [ 35–38 ] A linear mathematical model was developed in a recent report by Li et al. to predict the thermal conductivity of PVA through the quantitative evaluation of the thermal contact resistance of PDMS and epoxy resin systems, demonstrating its applicability to polymer system.…”

Section: Introductionmentioning

confidence: 99%

Realizing the Accurate Measurements of Thermal Conductivity over a Wide Range by Scanning Thermal Microscopy Combined with Quantitative Prediction of Thermal Contact Resistance

Zhang

Zhu

Zhou

et al. 2023

Small

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Quantitative thermal performance measurements and thermal management at the micro‐/nano scale are becoming increasingly important as the size of electronic components shrinks. Scanning thermal microscopy (SThM) is an emerging method with high spatial resolution that accurately reflects changes in local thermal signals based on a thermally sensitive probe. However, because of the unclear thermal resistance at the probe‐sample interface, quantitative characterization of thermal conductivity for different kinds of materials still remains limited. In this paper, the heat transfer process considering the thermal contact resistance between the probe and sample surface is analyzed using finite element simulation and thermal resistance network model. On this basis, a mathematical empirical function is developed applicable to a variety of material systems, which depicts the relationship between the thermal conductivity of the sample and the probe temperature. The proposed model is verified by measuring ten materials with a wide thermal conductivity range, and then further validated by two materials with unknown thermal conductivity. In conclusion, this work provides the prospect of achieving quantitative characterization of thermal conductivity over a wide range and further enables the mapping of local thermal conductivity to microstructures or phases of materials.

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Investigation of vortex motion mechanism of synthetic jet in a cross flow

Cited by 3 publications

References 33 publications

Current Review on Numerical Simulation of Synthetic Jet (SJ) Cooling

Current Review on Numerical Simulation of Synthetic Jet (SJ) Cooling

Algorithm to Generate Liutex Core Lines Based on Forward Liutex Magnitude Gradient Lines

Realizing the Accurate Measurements of Thermal Conductivity over a Wide Range by Scanning Thermal Microscopy Combined with Quantitative Prediction of Thermal Contact Resistance

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