Thermal optimization of PCM based pin fin heat sinks: An experimental study

Abstract This paper reports the results of an experimental investigation carried out to characterize the thermal performance of different configurations of phase change material (PCM) based pin fin heat sinks. Paraffin wax and n-eicosane are used as the PCMs. Aluminium is used to make the heat sinks and the volume fraction is varied by changing the number of pin fins. Baseline comparisons are done with a heat sink filled with PCM, without any fin. The effect of PCM volume fraction on the heat transfer performance is also studied. The results showed that there exists sufficient scope to optimize the thermal design of the heat sink. An Artificial Neural Network – Genetic Algorithm hybrid algorithm is then developed to determine the optimum configuration of the pin fin heat sink that maximizes the operating time for the n-eicosane based heat sink. The resulting optima was found to be valid even for the paraffin wax based PCM.

[1]  Ibrahim Dincer,et al.  Heat transfer analysis of phase change process in a finned-tube thermal energy storage system using artificial neural network , 2007 .

[2]  Ni Zhang,et al.  Preparation and thermal energy storage properties of paraffin/expanded graphite composite phase change material , 2012 .

[3]  T. Sathish,et al.  Imperative role of neural networks coupled genetic algorithm on optimization of biohydrogen yield , 2011 .

[4]  J. Mahmoudi,et al.  Modelling of fluid flow and heat transfer in a copper base heat sink application , 2005, EuroSimE 2005. Proceedings of the 6th International Conference on Thermal, Mechanial and Multi-Physics Simulation and Experiments in Micro-Electronics and Micro-Systems, 2005..

[5]  Siti Zaiton Mohd Hashim,et al.  Evolutionary techniques in optimizing machining parameters: Review and recent applications (2007-2011) , 2012, Expert Syst. Appl..

[6]  Roger R. Schmidt,et al.  Challenges in Electronic Cooling—Opportunities for Enhanced Thermal Management Techniques—Microprocessor Liquid Cooled Minichannel Heat Sink , 2004 .

[7]  W. Lu,et al.  Heat transfer enhancement for thermal energy storage using metal foams embedded within phase change materials (PCMs) , 2010 .

[8]  C. Balaji,et al.  Method to improve geometry for heat transfer enhancement in PCM composite heat sinks , 2005 .

[9]  H. E. Qarnia,et al.  Passive Cooling of Protruding Electronic Components by Latent Heat of Fusion Storage , 2009 .

[10]  Chakravarthy Balaji,et al.  Optimization of the location of multiple discrete heat sources in a ventilated cavity using artificial neural networks and micro genetic algorithm , 2008 .

[11]  David E. Goldberg,et al.  Genetic Algorithms in Search Optimization and Machine Learning , 1988 .

[12]  Cristina H. Amon,et al.  PCM thermal control unit for portable electronic devices: experimental and numerical studies , 2003 .

[13]  Mortaza Aghbashlo,et al.  Original paper: Optimization of an artificial neural network topology using coupled response surface methodology and genetic algorithm for fluidized bed drying , 2011 .

[14]  H. Raheman,et al.  Prediction of optimized pretreatment process parameters for biodiesel production using ANN and GA , 2009 .

[15]  K. Srinivasan,et al.  A numerical model for heat sinks with phase change materials and thermal conductivity enhancers , 2006 .

[16]  Wei-Biao Ye,et al.  Numerical simulation on phase-change thermal storage/release in a plate-fin unit , 2011 .

[17]  Maciej Jaworski,et al.  Thermal performance of heat spreader for electronics cooling with incorporated phase change material , 2012 .

[18]  Hye-jung Cho,et al.  System thermal analysis for mobile phone , 2008 .

[19]  Kuan-Ying Chen,et al.  Thermal-fluid characteristics of plate-fin heat sinks cooled by impingement jet , 2009 .

[20]  John H. Holland,et al.  Adaptation in Natural and Artificial Systems: An Introductory Analysis with Applications to Biology, Control, and Artificial Intelligence , 1992 .

[21]  Louis Gosselin,et al.  Review of utilization of genetic algorithms in heat transfer problems , 2009 .

[22]  Arun S. Mujumdar,et al.  Effect of orientation for phase change material (PCM)-based heat sinks for transient thermal management of electric components , 2007 .

[23]  S. Krishnan,et al.  A novel hybrid heat sink using phase change materials for transient thermal management of electronics , 2005, IEEE Transactions on Components and Packaging Technologies.

[24]  A. Patapoutian,et al.  ThermoTRP channels and beyond: mechanisms of temperature sensation , 2003, Nature Reviews Neuroscience.

[25]  Pradip Dutta,et al.  Studies on Optimum Distribution of Fins in Heat Sinks Filled With Phase Change Materials , 2008 .

[26]  Kim Choon Ng,et al.  A Universal Performance Chart for CPU Cooling Devices , 2008 .

[27]  Hosahalli S. Ramaswamy,et al.  Modeling and optimization of variable retort temperature (VRT) thermal processing using coupled neural networks and genetic algorithms , 2002 .

[28]  Yong Tang,et al.  Fabrication and testing of phase change heat sink for high power LED , 2011 .

[29]  Arun S. Mujumdar,et al.  Application of phase change materials in thermal management of electronics , 2007 .

[30]  B. Yegnanarayana,et al.  Artificial Neural Networks , 2004 .

[31]  Arun S. Mujumdar,et al.  Transient cooling of electronics using phase change material (PCM)-based heat sinks , 2008 .

[32]  Yogendra Joshi,et al.  Heat transfer enhancement from enclosed discrete components using pin-fin heat sinks , 2002 .

[33]  Ronald J. Warzoha,et al.  Energy storage and solidification of paraffin phase change material embedded with graphite nanofibers , 2011 .

[34]  Chakravarthy Balaji,et al.  Experimental investigations on phase change material based finned heat sinks for electronic equipment cooling , 2012 .

[35]  Ronan Grimes,et al.  Low profile fan and heat sink thermal management solution for portable applications , 2007 .

[36]  Ashwani Kumar Thukral,et al.  RSM and ANN modeling for electrocoagulation of copper from simulated wastewater: Multi objective optimization using genetic algorithm approach , 2011 .

[37]  F. Tan,et al.  Cooling of portable hand-held electronic devices using phase change materials in finned heat sinks , 2010 .

[38]  Zhongsheng Xie,et al.  A novel channel selection method for CANDU refuelling based on the BPANN and GA techniques , 2005 .