Performance analysis of a two-stage travelling-wave thermo-acoustic engine using Artificial Neural Network
نویسندگان
چکیده
Thermo-acoustic systems can convert thermal energy into acoustic waves and vice-versa. This conversion is due to the thermo-viscous interaction between acoustically oscillating gas fluid within a porous medium, referred as regenerator, pore internal walls. The thermo-acoustic approach proposed in this study an alternative sustainable solution for addressing issue of electricity remote areas developing countries. environmentally friendly it utilises air working medium therefore does not generate harmful emissions. In study, two-stage travelling-wave engine has been modelled using DeltaEC. simulation was performed by considering various input heat both stages. first stage set range 359.48 455.75 W , while second 1307.99 1656.35 . Hundred (100) data were generated. dataset used build Artificial Neural Network (ANN) model. ANN model validated extracted from A good agreement DeltaEC results predictions observed. shows that capable analysing intricate nonlinear thermoacoustic issues.
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ژورنال
عنوان ژورنال: MATEC web of conferences
سال: 2021
ISSN: ['2261-236X', '2274-7214']
DOI: https://doi.org/10.1051/matecconf/202134700023