Open Access
Issue
MATEC Web Conf.
Volume 347, 2021
12th South African Conference on Computational and Applied Mechanics (SACAM2020)
Article Number 00023
Number of page(s) 13
DOI https://doi.org/10.1051/matecconf/202134700023
Published online 23 November 2021
  1. M. Karlsson, M. Abom, M. Lalit, and R. Glav, A note on the applicability of thermoacoustic engines for automotive waste heat recovery. SAE International Journal of materials and manufacturing, vol. 9, issue. 2, pp. 286–293 (2016). [CrossRef] [Google Scholar]
  2. M.D. Fahel Bin Noor, Ahsan Habib, and Bijoy Mallick, Heat Storage system: A modern way to reuse and recycle Energy to reduce thermal pollution. International conference on mechanical, industrial, and energy engineering (November 2018). [Google Scholar]
  3. A.A.H. Al-Kayiem, Investigation of Travelling-wave Thermoacoustic Engines with Different Configurations, PhD thesis, University of Glasgow (2017). [Google Scholar]
  4. M. Ngcukayitobi, L.K. Tartibu, S.L. Gqibani, Design and construction of a four-stage travelling-wave thermo-acoustic system for power generation. Proceedings of the ASME 2020 International Mechanical Engineering Congress and Exposition, 6, 16-19 (2020). [Google Scholar]
  5. N.M. Hariharan, P. Sivashanmugam, and S. Kasthurirengan, Influence of stack geometry and resonance length on the performance of thermo-acoustic engine. Applied acoustics, vol. 73, issue.10, pp. 1052–1058, October (2012) [CrossRef] [Google Scholar]
  6. Kees de Blok, “Low operating temperature integral thermo acoustic devices for solar cooling and waste heat recovery”. Journal of Acoustic Society of America, vol. 123, issue. 5, pp. 35-41. doi: 10.1121/1.2934526 (2008). [Google Scholar]
  7. Kees de Blok, “Novel 4-stage travelling-wave thermo-acoustic power generator”. Conference: ASME 2010 3rd Joint US-European Fluids Engineering Summer Meeting collocated with 8th International Conference on Nanochannels, Microchannels, and Minichannels, vol. 7. American Society of Mechanical Engineers; 2010. pp. 73-79 [Google Scholar]
  8. Fausett, Fundamentals of neural networks. Architectures, algorithms, and application. Pearson; 1st edition ISBN-10: 0133341860, pp.9-20 (December 19, 1993). [Google Scholar]
  9. A. Rahman, X. Zhang, Prediction of acoustic-wave parameters of thermo-acoustic prime mover through Artificial Neural Network technique: practical approach for thermoacoustics. Journal of thermal science and engineering progress, 8, 257-268 (2018). [CrossRef] [Google Scholar]
  10. F. Selimefendigil, H.F. Oztop, Soft Computing methods for thermoacoustic simulation, Numerical Heat Transfer Applications, 66(3):271-288 (2014). [CrossRef] [Google Scholar]
  11. S. J. Russell, P. Norvig, Artificial intelligence: a modern approach, 3rd edition. Upper Saddle River, NJ: Prentice-Hall (2010). [Google Scholar]
  12. I.A. Basheer, M. Hajmeer M. Artificial neural networks: fundamentals, computing, design, and application. J Microbiol Meth, vol. 43, issue. 1, pp. 3-31 (2000). [CrossRef] [Google Scholar]
  13. A. Abduljalil, A. Jaworski, Investigation of thermo-acoustic processes in a travellingwave looped-tube thermo-acoustic engine, PhD thesis, University of Manchester (2012). [Google Scholar]
  14. P. Novotny, S.S. Hsu, A.B. Wang, T. Vit. Investigation of a travelling-wave thermoacoustic engine in a looped-tube. EPJ Web of conferences, pp. 67, 02086 (2014). [Google Scholar]
  15. A. A Rhaman, X. Zhang. Prediction of cooling load for a standing-wave thermo-acoustic refrigerator through Artificial Neural Network technique. 9th International conference on applied energy, ICAE2017. 142, 3780–3786 (2017). [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.