Radiator optimizing parameter confirming method and radiator with optimizing parameter

A radiator and parameter optimization technology, applied in electrical digital data processing, instruments, electrical solid devices, etc., can solve the problem of not considering the dynamic characteristics of the radiator

Inactive Publication Date: 2009-08-12
BEIHANG UNIV
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Problems solved by technology

Regardless of single-objective optimization or multi-objective optimization, although the existing optimization design methods ha

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  • Radiator optimizing parameter confirming method and radiator with optimizing parameter
  • Radiator optimizing parameter confirming method and radiator with optimizing parameter
  • Radiator optimizing parameter confirming method and radiator with optimizing parameter

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Embodiment Construction

[0021] Genetic Algorithm (abbreviated as GA) is a random search algorithm with global optimization ability proposed by Professor J. Holland, which is developed by imitating biological evolution in nature. According to the principle of "survival of the fittest" in Darwin's biological evolution theory, in the evolution process of natural organisms, organisms with strong adaptability have a higher probability of survival. Moreover, the parent individuals thus formed can generate better offspring individuals. The genetic algorithm uses this principle, and applies the simulation of biological evolution laws in nature to the application of finding the optimal solution to the problem. Studies have shown that genetic algorithms have strong global search capabilities, especially in solving complex optimization problems, such as multi-objective problems, multi-peak, and nonlinear problems. The GA algorithm is robust and is a globally optimal search algorithm with strong adaptability. ...

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Abstract

The invention relates to a method for determining optimization design parameters of a heat radiator, which is characterized by comprising: determining a group of parameter combinations which minimize the value of a comprehensive object function (M(X)) in a solution space of design parameter values of the heat radiator according to thermodynamic characteristic parameters of the heat radiator, wherein the comprehensive object function is positively correlated with the dynamic response characteristic and the pressure drop loss characteristic of the heat radiator, and the processing of the group of parameter combinations which minimize the value of the comprehensive object function comprises parameter optimization of the comprehensive object function so as to obtain the optimization design parameters meeting comprehensive assessment indexes of the heat radiator.

Description

technical field [0001] The invention relates to a heat sink optimization design method based on a genetic algorithm, which belongs to the technical field of thermal engineering. Background technique [0002] With the development of microelectronics technology, silicon chips with high integration, high power and small size are more and more deeply used in various fields of industry. The common feature of these chips is that a single chip has a large heat dissipation. In the mid-1980s, each chip had 10 6 components, although the power of each component is small, but such a high degree of integration makes the heat flux as high as 5×10 5 W / m 2 . When the heat flux density of the chip increases, the temperature of the electronic equipment will rise rapidly, which seriously affects the reliability and safety of the electronic equipment. [0003] In order to maintain the electronic components with high heat generation at a suitable temperature, it is necessary to adopt the cor...

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Application Information

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IPC IPC(8): G06F17/50G06N3/12H01L23/367
CPCH01L2924/0002
Inventor 李运泽王玉莹刘东晓刘佳李运华王浚
Owner BEIHANG UNIV
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