۳D Numerical Simulation of Fibers Arrangement Effects On Thermal Conductivity of Polymer Matrix Composite
Publish place: Mechanics of Advanced Composite Structures، Vol: 9، Issue: 1
Publish Year: 1401
نوع سند: مقاله ژورنالی
زبان: English
View: 168
This Paper With 15 Page And PDF Format Ready To Download
- Certificate
- من نویسنده این مقاله هستم
استخراج به نرم افزارهای پژوهشی:
شناسه ملی سند علمی:
JR_MACS-9-1_006
تاریخ نمایه سازی: 22 فروردین 1401
Abstract:
This study investigated the effects of different arrangements of three-dimensional fibers on polymer matrix composite thermal conductivity under heat flux boundary conditions. The thermal lattice Boltzmann based on the D۳Q۷ (three dimensions and seven temperature vectors) method is utilized to illustrate the thermal conductivity in ۷ cases of PMC with a different arrangement of ۳D fibers. Nondimensional temperature fields, isothermals, nondimensional thermal conductivity coefficient, nondimensional mean, and local temperature in ۷ cases of PMCs have been investigated. The non-dimensional thermal conductivity coefficient in each PMC has been analyzed to predict optimal levels of factors affecting this simulation to maximize and minimize the heat transfer rate. The results signified that nondimensional temperature field in a PMC with the arrangement of a fiber, triplet, and triangular perpendicular to heat flux had a greater rate than a PMC with the arrangement of fibers along the way heat flux. Also, the Maximum and minimum of nondimensional thermal conductivity coefficient were in PMC with the arrangement of triplet fibers perpendicular to heat flux, and triangular fibers along the way heat flux, respectively.
Keywords:
Authors
Mohammad Mohsen Peiravi
Department of Mechanical Engineering, Sari Branch, Islamic Azad University, Sari, Iran
Javad Alinejad
Department of Mechanical Engineering, Sari Branch, Islamic Azad University, Sari, Iran
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 :