Advances in Heat Transfer, Volume 60 presents the latest in a serial that highlights new advances in the field, with this updated volume presenting interesting chapters written by an international board of authors. Sample chapters in this new release include A Thermal Performance Improvement Study on a Novel Heat Sink Design and Innovative thermal management solutions for high-performance electronics: Advanced simulation techniques and practical applications.
1. Cover image - p. i 2. Title page - p. iii 3. Copyright - p. iv 4. Table of Contents - p. v 5. Contributors - p. vii 6. 1 Cooling of a conductive panel by using an elastic-stepped channel under a magnetic field - p. 1 7. 2 Recent CFD study of fouling in reverse osmosis membrane systems - p. 25 8. 3 Deep reinforcement learning for combustion applications - p. 47 9. 4 Analytical approach to forced convection heat transfer in conduits of different geometries; a bridge between correlations and supercomputing - p. 87 10. 5 Optimization of heat transfer via response surface methodology (RSM), sensitivity analysis, and application of machine learning for radially magnetized Reiner-Philippoff hybrid nanofluid - p. 153 11. 6 Phase change material emulsions: synthesis, properties, characterization, and applications - p. 187
Advances in Heat Transfer, Volume 60 presents the latest in a serial that highlights new advances in the field, with this updated volume presenting interesting chapters written by an international board of authors. Sample chapters in this new release include A Thermal Performance Improvement Study on a Novel Heat Sink Design and Innovative thermal management solutions for high-performance electronics: Advanced simulation techniques and practical applications.
1. Cover image - p. i 2. Title page - p. iii 3. Copyright - p. iv 4. Table of Contents - p. v 5. Contributors - p. vii 6. 1 Cooling of a conductive panel by using an elastic-stepped channel under a magnetic field - p. 1 7. 2 Recent CFD study of fouling in reverse osmosis membrane systems - p. 25 8. 3 Deep reinforcement learning for combustion applications - p. 47 9. 4 Analytical approach to forced convection heat transfer in conduits of different geometries; a bridge between correlations and supercomputing - p. 87 10. 5 Optimization of heat transfer via response surface methodology (RSM), sensitivity analysis, and application of machine learning for radially magnetized Reiner-Philippoff hybrid nanofluid - p. 153 11. 6 Phase change material emulsions: synthesis, properties, characterization, and applications - p. 187
