Dimension of Machine Learning on Thermosyphon...

Dimension of Machine Learning on Thermosyphons for Effective Optimization

Author Name : Anand R S, Shibin D, Hudson Sudhagar, Immanuel Jebaraj

ABSTRACT Thermosyphon is an effective heat transfer device which is widely used all over the world for its ease of use, feasible with different environmental challenges. It has uniqueness over the other devices due to its characteristics such as cost-effective, simple construction, compactness, low temperature difference, high dependability and durability. It is known for its popularity in the ways such as circulating liquid and volatile gases in heating and cooling systems such as heaters, furnaces and boilers and it is suitable for receiver in solar collectors. The challenge is to improve its performance and measuring its performance automatically. Hence, deep learning and machine learning techniques are deployed to investigate the performance of thermosyphons using optimization techniques. In this article, we describe the methodologies and metrics available to evaluate the experimental and theoretical results using machine learning,