بررسی ضریب هدایت حرارتی نانوسیال هیبریدی سه‌گانه پایه آبی حاوی MWCNTs به روش شبکه عصبی مصنوعی

نوع مقاله : مقاله پژوهشی

نویسندگان

1 استادیار، دانشگاه جامع امام حسین(علیه السلام)، تهران، ایران

2 دانشجوی دکتری، دانشگاه جامع امام حسین(ع)، تهران، ایران

چکیده

هدایت حرارتی نانوسیال MWCNT(40%)-CuO(30%)-TiO2(30%) /Water در کسر حجمی‌ها و دماهای مختلف با روش شبکه عصبی مصنوعی، مدل‌سازی و تحلیل می‌شود. شبکه عصبی مصنوعی از نوع MLP هست. 48 سری داده تجربی مورداستفاده قرار گرفت که به ترتیب %70، %15 و %15 برای آموزش، اعتبارسنجی و آزمون به کار رفت. ساختار عصبی بهینه دارای دو لایه پنهان است که در لایه اول 4 نورون و در لایه دوم 5 نورون به ترتیب با تابع انتقال logsig و tansig قرار دارد. آموزش شبکه عصبی با الگوریتم لونبرگ-مارکوارت (ML) انجام می‌شود. مقادیر پارامترهای ضریب رگرسیون R و میانگین خطا MSE برای ساختار بهینه به ترتیب برابر با 9995753/0 و 2.8734E-06 به دست آمدند. رابطه همگرایی نیز برای پیش‌بینی هدایت حرارتی نانوسیال ارائه می‌شود. مقایسه بین مدل همگرایی و شبکه عصبی مصنوعی، نشان از برتری شبکه عصبی مصنوعی دارد. مقادیر MOD برای شبکه عصبی مصنوعی نیز در محدوده %3- تا %7+ قرار گرفت.

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مکانیک سیالات و آیرودینامیک
دوره 12، شماره 2 - شماره پیاپی 32
پاییز و زمستان 1402
اسفند 1402
صفحه 155-168

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سابقه مقاله

  • تاریخ دریافت: 23 مهر 1402
  • تاریخ بازنگری: 01 دی 1402
  • تاریخ پذیرش: 25 دی 1402
  • تاریخ انتشار: 30 بهمن 1402

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