کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
11012134 | 1801029 | 2018 | 48 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
ANFIS based evolutionary concept for estimating nucleate pool boiling heat transfer of refrigerant-ester oil containing nanoparticles
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
سایر رشته های مهندسی
مهندسی مکانیک
پیش نمایش صفحه اول مقاله
چکیده انگلیسی
Performance and improvements of refrigeration systems are greatly related to the nucleate pool boiling heat transfer of refrigerant-oil mixtures containing nanoparticles (h). Empirical correlations have been used previously in order to estimate this parameter. Improved Adaptive Neuro-Fuzzy Inference System (ANFIS) is developed in this research applying different evolutionary algorithms to predict pool boiling heat transfer. To that end, 405 data samples were collected to construct the model and evaluate its performance based on each evolutionary algorithm. PSO-ANFIS model has the most accurate structure compared to other algorithms with R2=â¯0.998 and RMSEâ¯=â¯0.031 for all the 405 data samples. Moreover, the applicable domain of developed models was investigated and the dubious samples in the databank were indicated by using a technique based on Leverage algorithm.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: International Journal of Refrigeration - Volume 96, December 2018, Pages 38-49
Journal: International Journal of Refrigeration - Volume 96, December 2018, Pages 38-49
نویسندگان
Ali Dehghan Saee, Alireza Baghban, Fariba Zarei, Zhang Zhien, Sajjad Habibzadeh,