Numerical heat flow visualization analysis on enhanced thermal processing for various shapes of containers during thermal convection

Abstract

PurposeThe purpose of this paper is to study thermal (natural) convection in nine different containers involving the same area (area= 1 sq. unit) and identical heat input at the bottom wall (isothermal/sinusoidal heating). Containers are categorized into three classes based on geometric configurations [Class 1 (square, tilted square and parallelogram), Class 2 (trapezoidal type 1, trapezoidal type 2 and triangle) and Class 3 (convex, concave and triangle with curved hypotenuse)].Design/methodology/approachThe governing equations are solved by using the Galerkin finite element method for various processing fluids (Pr= 0.025 and 155) and Rayleigh numbers (103 ≤ Ra≤ 105) involving nine different containers. Finite element-based heat flow visualization via heatlines has been adopted to study heat distribution at various sections. Average Nusselt number at the bottom wall (Nub¯) and spatially average temperature (θ^) have also been calculated based on finite element basis functions.FindingsBased on enhanced heating criteria (higherNub¯and higher θ^), the containers are preferred as follows, Class 1: square and parallelogram, Class 2: trapezoidal type 1 and trapezoidal type 2 and Class 3: convex (higher θ^) and concave (higherNub¯).Practical implicationsThe comparison of heat flow distributions and isotherms in nine containers gives a clear perspective for choosing appropriate containers at various process parameters (PrandRa). The results for current work may be useful to obtain enhancement of the thermal processing rate in various process industries.Originality/valueHeatlines provide a complete understanding of heat flow path and heat distribution within nine containers. Various cold zones and thermal mixing zones have been highlighted and these zones are found to be altered with various shapes of containers. The importance of containers with curved walls for enhanced thermal processing rate is clearly established.