CFD Optimization Application on Airside Plate Fins of Condenser Coil of Gravity-Assisted Heat Pipe

2005 ◽  
Author(s):  
Jing Wang ◽  
Jianbing Wang ◽  
Liuyang Guo ◽  
Suili Wei ◽  
Dayong Hu
Keyword(s):  
Heat Pipe ◽  
Design Space ◽  
Flow Characteristics ◽  
Optimization Procedure ◽  
Mixed Integer ◽  
Optimal Size ◽  
Integer Optimization ◽  
Geometry Design ◽  
Design Variables ◽  
Fluid Flow Characteristics

The heat transfer and fluid flow characteristics of airside plate fins of the condenser coil of a gravity-assisted heat pipe are numerically predicted. Based on these CFD computations, the optimization of the airside structure of the heat pipe is carried out by studying the influence of different geometry design variables on a combined heat exchanger evaluation function K, which can be changed by an engineer according to his application experience. In this work, one hundred of DOE’s points are sampled across the design space of the heat pipe based on the Latin Hypercube method. The Least Squares Fitting method is used to fit these sampled points to the RSM of the design space. The Mixed Integer Optimization Algorithm is used to explore the maximum specially-defined K on the Response Surface; and the corresponding optimal size and shape of the heat pipe are finally obtained. The optimization procedure is performed automatically by employing the optimizer-Optimus, grid generator-Gambit, and CFD solver-Fluent.

Mixed Integer Optimization With NURBs HyPerModels

2007 ◽  
Author(s):  
Cameron J. Turner ◽  
Richard H. Crawford ◽  
Matthew I. Campbell
Keyword(s):  
Design Space ◽  
Optimization Techniques ◽  
Mixed Integer ◽  
Underlying Structure ◽  
Optimization Strategy ◽  
Integer Optimization ◽  
Design Variables ◽  
Complementary Approach ◽  
Integer Programming Problems ◽  
Optimum Solution

The challenge of determining the best design in a multimodal design space with multiple local optimal solutions often challenges the best available optimization techniques. By casting the objective function of the optimization problem in the form of a Non-Uniform Rational B-spline (NURBs) metamodel, known as a HyPerModel, significant optimization advantages can be achieved, including the ability to efficiently find the global metamodel optimum solution with less computational expense than traditional approaches. This optimization strategy, defined by the HyPerOp algorithm, uses the underlying structure of a HyPerModel to intelligently select starting points for optimization runs and to identify regions of the design space that do not contain locations for the global metamodel optimum location. This paper describes the application of the HyPerOp algorithm to mixed integer programming problems and demonstrates its use with two example applications. The algorithm works with design spaces composed of continuous and integer design variables and provides a complementary approach for improved optimization capabilities.

Heat and Fluid Flow Characteristics of Copper Metal Foam as Heat Pipe Wick Material

2015 ◽  
Vol 787 ◽  
pp. 112-116 ◽  
Author(s):  
D. Somasundaram ◽  
Annamalai Mani ◽  
M Kamaraj
Keyword(s):  
Heat Pipe ◽  
Metal Foam ◽  
Liquid Velocity ◽  
Flow Characteristics ◽  
Xrd Analysis ◽  
Copper Metal ◽  
Porous Wick ◽  
Copper Foam ◽  
Wick Structure ◽  
Fluid Flow Characteristics

This work is carried out to study the copper metal foam as porous wick structure in a flat heat pipe. The method of fabricating copper foam has been described. The characterization of copper foam has been carried out by scanning electron microscope (SEM) and X-Ray Diffractogram (XRD) analysis. Effect of liquid velocity on pressure drop and maximum capillary heat transport of fabricated copper foam has been presented.

Design and Simulation of Visual Miniature Loop Heat Pipe

2012 ◽  
Vol 605-607 ◽  
pp. 346-351
Author(s):  
Yan Chen ◽  
Yan Qu ◽  
Shu Sheng Zhang
Keyword(s):  
Heat Transfer ◽  
Fluid Flow ◽  
Heat Pipe ◽  
Flow Characteristics ◽  
System Level ◽  
Loop Heat Pipe ◽  
Design Requirements ◽  
Compensation Chamber ◽  
Fluid Flow Characteristics ◽  
Level Performance

A miniature loop heat pipe (MLHP) with a glass condenser was designed and manufactured. Stress analysis on compensation chamber/evaporator and glass condenser is made to confirm strength of loop heat pipe using the software MSC NASTRAN. Results indicate this new structure loop heat pipe can meet the design requirements and secure to work well. A system level performance analysis was made about heat transfer and fluid flow characteristics inside loop heat pipe using the software of SINDA/FLUINT. This miniature loop heat pipe realized visualization research of phase change phenomenon to some extent.

Experimental and numerical analysis of heat transfer and fluid flow characteristics inside pulsating heat pipe

2021 ◽  
pp. 1-17
Author(s):  
Chandrakant R. Sonawane ◽  
Kuldeep Tolia ◽  
Anand Pandey ◽  
Atul Kulkarni ◽  
Hitesh Punchal ◽  
...  
Keyword(s):  
Heat Transfer ◽  
Fluid Flow ◽  
Numerical Analysis ◽  
Heat Pipe ◽  
Flow Characteristics ◽  
Pulsating Heat Pipe ◽  
Fluid Flow Characteristics

scholarly journals A Parametric Blade Design Method for High-Speed Axial Compressor

Aerospace ◽  
2021 ◽  
Vol 8 (9) ◽  
pp. 271
Author(s):  
Hengtao Shi
Keyword(s):  
Design Space ◽  
Flow Characteristic ◽  
Design Method ◽  
Compressor Blade ◽  
Design Parameters ◽  
Blade Design ◽  
Axial Fan ◽  
Geometry Design ◽  
Design Variables ◽  
Blade Geometry

The blade geometry design method is an important tool to design high performance axial compressors, expected to have large design space while limiting the quantity of design variables to a suitable level for usability. However, the large design space tends to increase the quantity of the design variables. To solve this problem, this paper utilizes the normalization and subsection techniques to develop a geometry design method featuring flexibility and local adjustability with limited design variables for usability. Firstly, the blade geometry parameters are defined by using the normalization technique. Then, the normalized camber angle f1(x) and thickness f2(x) functions are proposed with subsection techniques used to improve the design flexibility. The setting of adjustable coefficients acquires the local adjustability of blade geometry. Considering the usability, most of the design parameters have clear, intuitive meanings to make the method easy to use. To test this developed geometry design method, it is applied in the design of a transonic, two flow-path axial fan component for an aero engine. Numerical simulations indicate that the designed transonic axial fan system achieves good efficiency above 0.90 for the entire main-flow characteristic and above 0.865 for the bypass flow characteristic, while possessing a sufficiently stable operation range. This indicates that the developed design method has a large design space for containing the good performance compressor blade of different inflow Mach numbers, which is a useful platform for axial-flow compressor blade design.

Nonlinear and Mixed-Integer Optimization

1995 ◽  
Author(s):  
Christodoulos A. Floudas
Keyword(s):  
Nonlinear Optimization ◽  
Systems Engineering ◽  
Chemical Engineering ◽  
Applied Mathematics ◽  
Linear Optimization ◽  
Mixed Integer ◽  
Process Synthesis ◽  
Synthesis Process ◽  
Integer Optimization ◽  
Mixed Integer Optimization

Filling a void in chemical engineering and optimization literature, this book presents the theory and methods for nonlinear and mixed-integer optimization, and their applications in the important area of process synthesis. Other topics include modeling issues in process synthesis, and optimization-based approaches in the synthesis of heat recovery systems, distillation-based systems, and reactor-based systems. The basics of convex analysis and nonlinear optimization are also covered and the elementary concepts of mixed-integer linear optimization are introduced. All chapters have several illustrations and geometrical interpretations of the material as well as suggested problems. Nonlinear and Mixed-Integer Optimization will prove to be an invaluable source--either as a textbook or a reference--for researchers and graduate students interested in continuous and discrete nonlinear optimization issues in engineering design, process synthesis, process operations, applied mathematics, operations research, industrial management, and systems engineering.

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