A Study on the Approximation Model of Boiler Tube Wall Panel Behavior Using Finite Element Analysis
Hyunsoo Kim, Won-seok Kim
Abstract
Hyunsoo Kim, Won-seok Kim
Abstract
The purpose of this study is to implement a simplified model similar to the boiler tube wall panel rigidity of huge size through finite element analysis. Boiler Tube Wall panels consist of many tubes and plates. Therefore, the actual implementation of the 3D Model by the finite element method takes a lot of time and huge cost. In order to solve this problem, in this paper, we modeled a part (6pitch) of boiler tube wall panel with 3D Model using Ansys 17.2, and created a combination of 2D Equivalent model,2D shell model, 2D Shell + 1D Beam model, the three models of analysis were determined. Four Model was analyzed according to the analysis result of temperature and load conditions. Comparing with the 3D model analysis results, the 2D Shell + 1D Beam Model is determined, which is a finite element analysis model with less than 5% error and less than 30% computation time.
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The purpose of this study is to implement a simplified model similar to the boiler tube wall panel rigidity of huge size through finite element analysis. Boiler Tube Wall panels consist of many tubes and plates. Therefore, the actual implementation of the 3D Model by the finite element method takes a lot of time and huge cost. In order to solve this problem, in this paper, we modeled a part (6pitch) of boiler tube wall panel with 3D Model using Ansys 17.2, and created a combination of 2D Equivalent model,2D shell model, 2D Shell + 1D Beam model, the three models of analysis were determined. Four Model was analyzed according to the analysis result of temperature and load conditions. Comparing with the 3D model analysis results, the 2D Shell + 1D Beam Model is determined, which is a finite element analysis model with less than 5% error and less than 30% computation time.
Key concepts: Finite element method, Boiler (water heating), Structural engineering, Computation, Engineering, Mathematics, Algorithm, Waste management