Ahammad, M., Liu Y., Olewski, T., Véchot, L. N., Mannan, M. S. 2016. Application of computational fluid dynamics in simulating film boiling of cryogens. Industrial & Engineering Chemistry Research, 55: 7548–7557.
Alhashan, T., Addali, A., Amaral Teixeira, J., Elhashan, S. 2018. Identifying bubble occurrence during pool boiling employing acoustic emission technique. Applied Acoustics, 132: 191–201.
Anderson, T. T., Mulcahey, T. P., Hsu, C. 1970. Survey and status report on application of acoustic-boiling-detection techniques to liquid-metal-cooled reactors. Argonne National Laboratory Report ANL-7469, Argonne, Illinois, USA. Available at https://digital.library.unt.edu/ark:/67531/metadc67204/
Baek, S. H., Wu, K., Shim, H. S., Lee, D. H., Kim, J. G., Hur, D. H. 2017. Acoustic emission monitoring of water boiling on fuel cladding surface at 1bar and 130bar. Measurement, 109: 18–26.
Barathula, S., Chaitanya, S., Srinivasan, K. 2023. Evaluation of machine learning models in the classification of pool boiling regimes up to critical heat flux based on boiling acoustics. International Journal of Heat and Mass Transfer, 201: 123623.
Barathula, S., Srinivasan, K. 2022. Review on research progress in boiling acoustics. International Communications in Heat and Mass Transfer, 139: 106465.
Brentner, K. S., Farassat, F. 1998. Analytical comparison of the acoustic analogy and Kirchhoff formulation for moving surfaces. AIAA Journal, 36: 1379–1386.
Celata, G. P., Dell’Orco, G., Gaspari, G. P. 1995. Detection of subcooled boiling heat transfer regimes up to critical heat flux by accelerometric equipment. Fusion Engineering and Design, 28: 44–52.
Chen, C. G., Li, X. B., Zhang, H. N., Li, F. C. 2024. Numerical study on acoustic characteristics of flow boiling in a helical tube. Applied Thermal Engineering, 247: 123090.
Dan, M., Cheeke, J. D. N. 1997. Acoustic emissions associated with single bubble sonoluminescence. In: Proceedings of the IEEE Ultrasonics Symposium, 515–518.
Duan, Y., Zhang, X., Han, Z., Liu, Q., Li, X., Li, L. 2024. Numerical investigation of coupled heat transfer and flow characteristics in helical coil heat exchanger for mine water waste heat recovery. International Journal of Thermal Sciences, 202: 109089.
Ffowcs Williams, J. E., Hawkings, D. L. 1969. Sound generation by turbulence and surfaces in arbitrary motion. Philosophical Transactions of the Royal Society of London Series A, 264: 321–342.
Georgoulas, A., Andredaki, M., Marengo, M. 2017. An enhanced VOF method coupled with heat transfer and phase change to characterise bubble detachment in saturated pool boiling. Energies, 10: 272.
Giustini, G., Issa, R. I. 2023. Modelling of free bubble growth with interface capturing computational fluid dynamics. Experimental and Computational Multiphase Flow, 5: 357–364.
Gu, J., Wang, Z., Kuen, J., Ma, L., Shahroudy, A., Shuai, B., Liu, T., Wang, X., Wang, G., Cai, J., et al. 2018. Recent advances in convolutional neural networks. Pattern Recognition, 77: 354–377.
Guo, Y., Zhu, Q., Song, S., Li, Y., Zhang, Z., Gong, L. 2024. Bubble dynamics of flow boiling in microchannel within ultrasonic field. International Communications in Heat and Mass Transfer, 159: 108180.
Han, T., Wang, L., Cen, K., Song, B., Shen, R., Liu, H., Wang, Q. 2020. Flow-induced noise analysis for natural gas manifolds using LES and FW-H hybrid method. Applied Acoustics, 159: 107101.
Hardik, B. K., Prabhu, S. V. 2018. Boiling pressure drop, local heat transfer distribution and critical heat flux in helical coils with R123. International Journal of Thermal Sciences, 125: 149–165.
Hobold, G. M., da Silva, A. K. 2018. Machine learning classification of boiling regimes with low speed, direct and indirect visualization. International Journal of Heat and Mass Transfer, 125: 1296–1309.
Hobold, G. M., da Silva, A. K. 2019a. Automatic detection of the onset of film boiling using convolutional neural networks and Bayesian statistics. International Journal of Heat and Mass Transfer, 134: 262–270.
Hobold, G. M., da Silva, A. K. 2019b. Visualization-based nucleate boiling heat flux quantification using machine learning. International Journal of Heat and Mass Transfer, 134: 511–520.
Huang, X., Chen, Z., Gui, N., Yang, X., Tu, J., Jiang, S. 2023. Pool boiling experiment characteristics on the pure copper surface. Experimental and Computational Multiphase Flow, 5: 192–198.
Krichen, M. 2023. Convolutional neural networks: A survey. Computers, 12: 151.
Kudo, K., Tanaka, Y., Ohta, M., Ohsawa, T. 1982. Boiling detection by acoustic analysis applying linear discriminant function. Journal of Nuclear Science and Technology, 19: 768–770.
Kumar, A., Kothadia, H. B., Arun Kumar, R., Prabhu, S.V. 2023. Effect of helical coil orientation on flow boiling process. International Journal of Thermal Sciences, 185: 108106.
Lee, W. H. 2013. A pressure iteration scheme for two-phase flow modeling. In: Computational Methods for Two-Phase Flow and Particle Transport. World Scientific, 61–82.
Li, C., Su, L., Chen, Q., Hu, Y., Wang, Q., Zou, J., Shang, Y. 2025. Prediction of flow boiling characteristics in manifold microchannel radiator based on high heat flux cooling. International Journal of Thermal Sciences, 210: 109554.
Li, C., Yan, S., Wen, D., Huang, Q., Lin, Y. 2018. CFD analysis of flow noise at tees at natural gas station. Noise Control Engineering Journal, 66: 1–10.
Li, Z. 2018. Research on the vapor–liquid flow regimes and transition mechanisms in helically coiled tubes. Doctoral Thesis. Beijing: Tsinghua University.
Liu, C., Wang, F., Gao, Y., Zheng, Y., Li, R. 2025. Numerical analysis and correlation comparison of void fraction in refrigerant two-phase flow in horizontal tubes. Applied Thermal Engineering, 270: 126276.
Liu, E., Yan, S., Peng, S., Huang, L., Jiang, Y. 2016. Noise silencing technology for manifold flow noise based on ANSYS fluent. Journal of Natural Gas Science and Engineering, 29: 322–328.
Lv, F., Guo, C., Gao, M. 2023a. Investigation on the noise induced by gas–liquid two-phase flow in a capillary tube. Physics of Fluids, 35: 073303.
Lv, F., Wang, N., He, S., Gao, M. 2023b. Numerical simulation of structure-borne noise in a T-shaped tee considering fluid–structure interaction. Physics of Fluids, 35: 015127.
Lykov, E. V., Sinetskaya, A. G. 2005. Transient processes and thermoacoustic effects in surface boiling of a liquid. Journal of Engineering Physics and Thermophysics, 78: 646–650.
Mikami, N., Ueki, Y., Shibahara, M., Aizawa, K., Ara, K. 2023. State sensing of bubble jet flow based on acoustic recognition and deep learning. International Journal of Multiphase Flow, 159: 104340.
Mikami, N., Ueki, Y., Shibahara, M., Aizawa, K., Ara, K. 2024. CNN-based acoustic identification of gas–liquid jet: Evaluation of noise resistance and visual explanation using Grad-CAM. International Journal of Multiphase Flow, 171: 104688.
Minnaert, M. 1933. XVI. On musical air-bubbles and the sounds of running water. The London, Edinburgh, and Dublin Philosophical Magazine and Journal of Science, 16: 235–248.
Močnik, U., Čikić, A., Muhič, S. 2024. Numerical and experimental analysis of fluid flow and flow visualization at low Reynolds numbers in a dimple pattern plate heat exchanger. Energy, 288: 129812.
Mojškerc, B., Kek, T., Grum, J. 2018. Feasibility study of monitoring the steel quenching process using acoustic emission technology. Applied Acoustics, 129: 335–345.
Okumiya, M., Tsunekawa, Y., Doi, K., Ikuta, H., Tanaka, Y., Tomita, Y., Nagai, T. 2008. Acoustic technique to discriminate boiling state during quenching. International Heat Treatment and Surface Engineering, 2: 131–134.
Singh, S., Mohanty, A. R. 2018. Measurement of boiling liquid levels by decomposition of sound waves in a waveguide. Applied Acoustics, 129: 248–257.
Sinha, K. N. R., Kumar, V., Kumar, N., Thakur, A., Raj, R. 2021. Deep learning the sound of boiling for advance prediction of boiling crisis. Cell Reports Physical Science, 2: 100382.
Sinha, K. N. R., Ranjan, D., Raza, M. Q., Kumar, N., Kaner, S., Thakur, A., Raj, R. 2019. In situ acoustic detection of critical heat flux for controlling thermal runaway in boiling systems. International Journal of Heat and Mass Transfer, 138: 135–143.
Tang, J., Xie, G., Bao, J., Mo, Z., Liu, H., Du, M. 2018. Experimental study of sound emission in subcooled pool boiling on a small heating surface. Chemical Engineering Science, 188: 179–191.
Taye, M. M. 2023. Understanding of machine learning with deep learning: Architectures, workflow, applications and future directions. Computers, 12: 91.
Comments (0)