COMPARISONS OF FOUR ANALYTIC METHODS FOR ANALYZING A RECTANGULAR PROFILE ANNULAR FIN

2020 ◽  
Vol 20 (1) ◽  
pp. 67-84
Author(s):  
Hyung Suk Kang
Keyword(s):  
Analytic Methods ◽  
Rectangular Profile ◽  
Annular Fin

Nonlinear temperature and thermal stress analysis of annular fins with time dependent boundary condition

2018 ◽  
Vol 35 (3) ◽  
pp. 1444-1459
Author(s):  
Sen-Yung Lee ◽  
Li-Kuo Chou ◽  
Chao Kuang Chen
Keyword(s):  
Thermal Stress ◽  
Solution Method ◽  
Nonlinear Behavior ◽  
Time Dependent ◽  
Content Type ◽  
Rectangular Profile ◽  
Annular Fin ◽  
Nonlinear Temperature ◽  
Periodic Temperature ◽  
Annular Fins

PurposeThe purpose of this paper is to propose the Laplace Adomian Decomposition Method (LADM) for studying the nonlinear temperature and thermal stress analysis of annular fins with time-dependent boundary condition.Design/methodology/approachThe nonlinear behavior of temperature and thermal stress distribution in an annular fin with rectangular profile subjected to time-dependent periodic temperature variations at the root is studied by the LADM. The radiation effect is considered. The convective heat transfer coefficient is considered as a temperature function.FindingsThe proposed solution method is helpful in overcoming the computational bottleneck commonly encountered in industry and in academia. The results show that the circumferential stress at the root of the fin will be important in the fatigue analysis.Originality/valueThis study presents an effective solution method to analyze the nonlinear behavior of temperature and thermal stress distribution in an annular fin with rectangular profile subjected to time-dependent periodic temperature variations at the root by using LADM.

scholarly journals Inverse Approach for the Average Convection Coefficient Induced by a Forced Fluid Flow Over an Annular Fin of Rectangular Profile Using Tip Temperature Measurements

2021 ◽  
Vol 16 ◽  
pp. 106-114
Author(s):  
Antonio Campo
Keyword(s):  
Fluid Flow ◽  
Heat Conduction ◽  
Heat Conduction Problem ◽  
Computational Procedure ◽  
Correlation Equation ◽  
Convection Coefficient ◽  
Inverse Approach ◽  
Rectangular Profile ◽  
Annular Fin ◽  
Inverse Heat Conduction Problems

The objective of the present paper is to develop a simple algebraic computational procedure for the estimation of the average convection coefficient of a forced fluid flow over an annular fin of rectangular profile within the platform of inverse heat conduction problems. The data required is the tip temperatures of an annular fin of rectangular profile, which are measured in an experimental setup. Based on nonlinear regression analysis, an empirical correlation equation is constructed for the dimensionless average tip temperature depending upon the dimensionless thermo–geometrical parameter and the radius ratio. When compared against the outcome of a direct heat conduction problem, the good quality of the estimated average convection coefficient for the annular fin of rectangular profile demonstrates the feasibility of the simple algebraic computational procedure.

Analytical Study on Big Data

2018 ◽  
Vol 8 (5) ◽  
pp. 75
Author(s):  
Vivek Raich ◽  
Pankaj Maurya
Keyword(s):  
Information Technology ◽  
Big Data ◽  
Decision Maker ◽  
Analytical Study ◽  
Large Data ◽  
Decision Makers ◽  
Continuous Increase ◽  
Analytic Methods ◽  
Data Store ◽  
Business Engineering

in the time of the Information Technology, the big data store is going on. Due to which, Huge amounts of data are available for decision makers, and this has resulted in the progress of information technology and its wide growth in many areas of business, engineering, medical, and scientific studies. Big data means that the size which is bigger in size, but there are several types, which are not easy to handle, technology is required to handle it. Due to continuous increase in the data in this way, it is important to study and manage these datasets by adjusting the requirements so that the necessary information can be obtained.The aim of this paper is to analyze some of the analytic methods and tools. Which can be applied to large data. In addition, the application of Big Data has been analyzed, using the Decision Maker working on big data and using enlightened information for different applications.

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