Investigation of Nanofluid Natural Convection Heat Transfer in Open Ended L-shaped Cavities utilizing LBM
Publish Year: 1400
نوع سند: مقاله ژورنالی
زبان: English
View: 226
This Paper With 20 Page And PDF Format Ready To Download
- Certificate
- من نویسنده این مقاله هستم
استخراج به نرم افزارهای پژوهشی:
شناسه ملی سند علمی:
JR_JACM-7-4_018
تاریخ نمایه سازی: 18 مهر 1400
Abstract:
In this paper, laminar natural convection of copper/water nanofluid in an open-ended L-shaped cavity is investigated by Lattice Boltzmann Model (LBM). The results are compared by previous studies that are in good agreement. Influences of Rayleigh number (Ra = ۱۰۳, ۱۰۴, ۱۰۵, ۱۰۶), cavity aspect ratio (AR = ۰.۲, ۰.۴, ۰.۶) and volume concentration of Cu nanoparticles (۰ ≤ Φ ≤ ۰.۱) on the momentum, thermal fields and heat transfer in the enclosure are studied. Also, the effect of changing the boundary conditions, on the heat transfer rate has been investigated. It is observed that maximum heat transfer enhancement by adding the nanoparticles for Ra = ۱۰۶ with AR = ۰.۴ (۳۲.۷۶%) occurs. Results illustrate that increasing the cavity aspect ratio decreases heat transfer rate for Ra = ۱۰۳ and Ra = ۱۰۴. The least and most heat transfer rate for Ra = ۱۰۵ occurs in enclosures by aspect ratios of ۰.۲ and ۰.۴ respectively, while it was observed at Ra = ۱۰۶ for minimum and maximum rate of heat transfer the opposite behavior that at Ra = ۱۰۵ occurs.
Keywords:
Authors
Hasan Mohammadifar
Department of Mechanical Engineering, Shahid Bahonar University of Kerman, Kerman, P.O. Box ۷۶۱۷۵-۱۳۳, Iran
Hasan Sajjadi
Department of Mechanical Engineering, University of Bojnord, Bojnord, P.C. ۹۴۵ ۳۱۵۵۱۱۱, Iran
Mohammadi Rahnama
Department of Mechanical Engineering, Shahid Bahonar University of Kerman, Kerman, P.O. Box ۷۶۱۷۵-۱۳۳, Iran
Saeed Jafari
Department of Mechanical Engineering, Shahid Bahonar University of Kerman, Kerman, P.O. Box ۷۶۱۷۵-۱۳۳, Iran
Yan Wang
Department of Aerodynamics, Nanjing University of Aeronautics and Astronautics, Nanjing, China
مراجع و منابع این Paper:
لیست زیر مراجع و منابع استفاده شده در این Paper را نمایش می دهد. این مراجع به صورت کاملا ماشینی و بر اساس هوش مصنوعی استخراج شده اند و لذا ممکن است دارای اشکالاتی باشند که به مرور زمان دقت استخراج این محتوا افزایش می یابد. مراجعی که مقالات مربوط به آنها در سیویلیکا نمایه شده و پیدا شده اند، به خود Paper لینک شده اند :