Pages that link to "Item:Q2462711"

The following pages link to Correlating heat transfer and friction in helically-finned tubes using artificial neural networks (Q2462711):

Displaying 9 items.

• Derivation of a correlation for drag coefficient in two-dimensional bounded supercavitating flows, using artificial neural networks (Q363135) (← links)
• Numerical investigations of laminar flow characteristics in helically finned pipes (Q416043) (← links)
• Estimation of heat transfer in oscillating annular flow using artifical neural networks (Q834227) (← links)
• Linear correlation of heat transfer and friction in helically-finned tubes using five simple groups of parameters (Q936288) (← links)
• Application of artificial neural network method for performance prediction of a gas cooler in a CO\(_2\) heat pump (Q955592) (← links)
• Effect of different pitches on the 3D helically coiled shell and tube heat exchanger filled with a hybrid nanofluid: numerical study and artificial neural network modeling (Q2085985) (← links)
• Performance predictions of laminar and turbulent heat transfer and fluid flow of heat exchangers having large tube-diameter and large tube-row by artificial neural networks (Q2270901) (← links)
• Heat transfer analysis of phase change process in a finned-tube thermal energy storage system using artificial neural network (Q2370935) (← links)
• Predicting temperature profiles in producing oil wells using artificial neural networks. (Q2701893) (← links)