Topic
Baffle
About: Baffle is a research topic. Over the lifetime, 37003 publications have been published within this topic receiving 159265 citations.
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TL;DR: In this article, the authors explored the use of a non-traditional optimization technique; called particle swarm optimization (PSO), for design optimization of shell-and-tube heat exchangers from economic view point.
238 citations
TL;DR: In this article, a set of CFD simulations for a single shell and single tube pass heat exchanger with a variable number of baffles and turbulent flow were performed, and the best turbulence model among the ones considered was determined by comparing the CFD results of heat transfer coefficient, outlet temperature and pressure drop with the Bell-Delaware method results.
237 citations
TL;DR: Differential evolution (DE) and its various strategies are applied for the optimal design of shell-and-tube heat exchangers in this paper, where the main objective is the estimation of the minimum heat transfer area required for a given heat duty, as it governs the overall cost of the heat exchanger.
225 citations
TL;DR: In this paper, genetic algorithms have been successfully applied for the optimal design of shell-and-tube heat exchanger by varying the design variables: outer tube diameter, tube layout, number of tube passes, outer shell diameter, baffle spacing and baffle cut.
Abstract: A heat exchanger is a device that is used to transfer heat between two or more fluids that are at different temperatures. Heat exchangers are essential elements in a wide range of systems, including the human body, automobiles, computers, power plants, and comfort heating/cooling equipment. The most commonly used type of heat exchanger is the shell-and-tube heat exchanger, the optimal design of which is the main objective of this study. A primary objective in the heat exchanger design is the estimation of the minimum heat transfer area required for a given heat duty, as it governs the overall cost of the heat exchanger. However there is no concrete objective function that can be expressed explicitly as a function of design variables and in fact many numbers of discrete combinations of the design variables are possible. In the present study, genetic algorithms (GA) has been successfully applied for the optimal design of shell-and-tube heat exchanger by varying the design variables: outer tube diameter, tube layout, number of tube passes, outer shell diameter, baffle spacing and baffle cut. LMTD method is used to determine the heat transfer area for a given design configuration.
218 citations
TL;DR: In this article, a numerical model was developed to study 3D liquid sloshing in a tank with baffles, and the effect of the baffles was investigated and discussed.
204 citations