Use of artificial neural network in forecasting optimal distance of enclosures containing PCM-introduced for improving the performance of the evacuated tube solar collectors

This publication has 65 references indexed in Scilit:

• Prediction of dynamic viscosity of a hybrid nano-lubricant by an optimal artificial neural network
  International Communications in Heat and Mass Transfer, 2016
• Multi-objective geometric optimization of a PCM based matrix type composite heat sink
  Applied Energy, 2015
• Thermal conductivity of Cu/TiO2–water/EG hybrid nanofluid: Experimental data and modeling using artificial neural network and correlation
  International Communications in Heat and Mass Transfer, 2015
• Melting enhancement of a phase change material with presence of a metallic mesh
  Applied Thermal Engineering, 2015
• Thermal performance of a PCM heat sink under different heat loads: An experimental study
  International Journal of Thermal Sciences, 2014
• Numerical optimization of a PCM-based heat sink with internal fins
  International Journal of Heat and Mass Transfer, 2013
• Thermal optimization of PCM based pin fin heat sinks: An experimental study
  Applied Thermal Engineering, 2013
• Experimental and numerical studies on performance of PCM-based heat sink with different configurations of internal fins
  Applied Thermal Engineering, 2011
• A parametric study of phase change material (PCM)-based heat sinks
  International Journal of Thermal Sciences, 2008
• Transient cooling of electronics using phase change material (PCM)-based heat sinks
  Applied Thermal Engineering, 2008