Applied Energy 156 (2015) 703–714 Contents lists available at ScienceDirect Applied Energy journal homepage: www.elsevier.com/locate/apenergy Multi-objective geometric optimization of a PCM based matrix type composite heat sink R. Srikanth, Pavan Nemani, C. Balaji Heat Transfer and Thermal Power Laboratory, Department of Mechanical Engineering, Indian Institute of Technology Madras, Chennai 600036, India highl i ghts graphical a bstrac t Experiments conducted on a matrix Numerical model Matrix type heat sink type heat sink with n-eicosane as PCM. Full three dimensional simulations done with Fluent to complement experiments. Simulation driven multi objective geometric optimization done using NSGA II. Pareto optimal front obtained for the Artificial neural problem under consideration. network Pareto optimal solutions Optimization increases charging time by 5% and reduces discharging time by 12.5%. article i nfo abstract Article history: This paper reports the results of a numerical optimization and experimental investigation of phase Received 13 February 2015 change material (PCM) based composite pin ﬁn matrix heat sink. The main objective of this study is to Received in revised form 25 June 2015 determine the optimized conﬁguration of the matrix type heat sink that will stretch the operation time Accepted 15 July 2015 during the heating cycle and minimize the
Applied Energy – Elsevier
Published: Oct 15, 2015
It’s your single place to instantly
discover and read the research
that matters to you.
Enjoy affordable access to
over 12 million articles from more than
10,000 peer-reviewed journals.
All for just $49/month
It’s easy to organize your research with our built-in tools.
All the latest content is available, no embargo periods.
“Whoa! It’s like Spotify but for academic articles.”@Phil_Robichaud