Machine Learning-Based Thermo-performance Prediction and Evaluation of Automotive Heat Exchangers

Description

the following nine variables were measured: inlet air temperature T_(Air,in), inlet air humidity H_(Air,in), inlet air mass flow rate m ̇_Air, outlet air temperature T_(Air,out), cooling water inlet temperature T_(Water,in), cooling water outlet temperature T_(Water,out), cooling water mass flow rate m ̇_Water, air-side pressure drop 〖Δp〗_Air, and water-side pressure drop 〖Δp〗_Water——in order to

Institutions

• Tongji University

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