Leandro Oliveira Salviano

TL;DR: In this paper, two approaches were evaluated: Response Surface Methodology (RSM) applying Neural Networking method, and Direct Optimization (DO) for heat transfer enhancement in a fin-tube heat exchanger.

TL;DR: In this article, two types of longitudinal vortex generators are placed into circular tube of a solar collector in order to enhance the heat transfer between tube walls and working fluid, and the numerical modeling is performed by ANSYS 18.0 software and the flow pattern and heat transfer characteristics are analyzed in details for two different types of vortex generators (delta-winglet and rectangularwinglet), Reynolds number of 300, 600 and 900, and angle of attack of 15°, 30° and 45°.

TL;DR: In this paper, an optimization procedure based on the SIMPLEX method was conducted through a fluid-solid conjugated heat transfer modeling considering a fin-tube compact heat exchanger with two rows of tubes in staggered and inline arrangements, in order to find an optimum configuration of the vortex generators for two objective functions related to Colburn factor (j) and Friction factor (f).

TL;DR: In this article, the authors presented an optimization procedure to find the best operating conditions of a primary petroleum platform processing crude oil with high gas-oil ratio (GOR) and moderate CO2 content.

TL;DR: In this article, a parametric study of heat transfer enhancement and the associated pressure loss applied to louvered fins with rectangular winglet vortex generators (RWL) is performed for two geometry types, L1 and L2.