Adaptive-network-based fuzzy inference system analysis to predict the temperature and flow fields in a lid-driven cavity

• 主要な著者: Che Sidik, Nor Azwadi, Zeinali, Mohammadjavad, Safdari, Arman, Kazemi, Alieh
• フォーマット: 論文
• 出版事項: Taylor and Francis Group 2013
• 主題: TJ Mechanical engineering and machinery
• オンライン･アクセス: http://eprints.utm.my/id/eprint/50505/; http://dx.doi.org/10.1080/10407782.2013.757154

Heat transfer behavior in a 2-D square lid-driven cavity has been studied for various pertinent Reynolds and Rayleigh numbers. The lattice Boltzmann method, a numerical tool based on the particle distribution function is applied to simulate a thermal fluid flow problem. Bhatnagar-Gross-Krook (BGK) i...