ArticleACS omega2020
Prediction of Nanofluid Temperature Inside the Cavity by Integration of Grid Partition Clustering Categorization of a Learning Structure with the Fuzzy System.
Article in ACS omega, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
What it found
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Who cites it
14 citing papers in PubMed.
- Prediction of gas velocity in two-phase flow using developed fuzzy logic system with differential evolution algorithm.Scientific reports · 2021Article
- Influence of machine learning membership functions and degree of membership function on each input parameter for simulation of reactors.Scientific reports · 2021Article
- Liquid temperature prediction in bubbly flow using ant colony optimization algorithm in the fuzzy inference system as a trainer.Scientific reports · 2020Article
- Multidimensional machine learning algorithms to learn liquid velocity inside a cylindrical bubble column reactor.Scientific reports · 2020Article
- Computational Modeling of Transport in Porous Media Using an Adaptive Network-Based Fuzzy Inference System.ACS omega · 2020Article
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- Pattern recognition of the fluid flow in a 3D domain by combination of Lattice Boltzmann and ANFIS methods.Scientific reports · 2020Article
- ANFIS grid partition framework with difference between two sigmoidal membership functions structure for validation of nanofluid flow.Scientific reports · 2020Article
- Prediction of Nanofluid Characteristics and Flow Pattern on Artificial Differential Evolution Learning Nodes and Fuzzy Framework.ACS omega · 2020Article
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- Molecular investigation into the effect of carbon nanotubes interaction with COScientific reports · 2020Article
- Thermal and Flow Visualization of a Square Heat Source in a Nanofluid Material with a Cubic-Interpolated Pseudo-particle.ACS omega · 2020Article
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Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In this study, a quadratic cavity is simulated using computational fluid dynamics (CFD). The simulated cavity includes nanofluids containing copper (Cu) nanoparticles. The L-shaped thermal element exists in this cavity to produce heat distribution along with the domain. Results such as fluid velocity distribution in two dimensions and the fluid temperature field were generated as CFD simulation results. These outputs were evaluated using an adaptive neuro-fuzzy inference system (ANFIS) for learning and then the prediction process. In the training process related to the ANFIS method,
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.