Heatline Visualization for Thermal Transport in Complex Solid Domains with Discrete Heat Sources at the Bottom Wall

Abstract

The current work attempts to numerically investigate the thermal transport for twodimensional solid complex geometries with two discrete heat sources at the bottom wall. The computational grid has been developed in GAMBIT and then linked to the in-house code which is based on collocated grid based Finite Volume Method (FVM). In this study five different domains viz. square, trapezoidal, skewed, S-curve and H-curve have been considered and the thermal conductivity has been varied from 0.25 to 10 W/m K. A concept of Bejan's heatline visualization has been considered for the analysis of thermal transport. The heatlines along with isotherms are observed to provide a better insight for the understanding of thermal transport in considered complex geometries. With the domain thermal conductivity of 0.25 W/m K the maximum hot spot temperature is noted to be 443 K (square) and minimum of 436 K (S-curve). It is observed that with the increase in thermal conductivity from 0.25 to 10 W/m K, the maximum temperature in the domain decreased by 23.71 % for skewed and 20.77 % for S-curve geometries.

Microbial Visualization Research Based on Biosensing Technology

“…The basic part of the visualization platform includes four functions: microbial community annotation, evolutionary tree, cluster tree visualization, data matrix visualization, and related statistical charts. The visualization of phylogenetic tree clustering and related statistical charts are the core, which can link the annotation results and data matrix visualization, and can clearly observe the annotation of the most interesting microorganisms, as well as the content of the microorganisms in the environment and other information [17] ].…”