Optimum design method of heat sink based on Taguchi method

Abstract

An optimum design method of a heat sink based on the Taguchi method comprises selecting controllable factors and a noise factor; designing an experimental program; performing experiment; analyzing an experimental result; executing the Taguchi method on the experimental result; and finally determining the optimum design by the experiment. The invention adopts simulation combined with Taguchi parameter design, carries out experimental design on relevant parameters of the heat sink, then simulates the heat dissipation effect (power device housing temperature) and heat sink quality by means of simulation method, and analyzes the simulation result, to thereby optimize heat sink parameters and research optimum combination of heat sink parameters. The method has practical value in the technical field of avionic product reliability engineering.

Description

(1) Technical field: [0001] The present invention relates to a radiator optimization design method for high-power electronic components of avionics equipment, in particular to a radiator optimization design method based on the Taguchi method, which uses the parameter design of the Taguchi method to select high-power electronic components The parameters of the radiator are selected, and by comprehensively weighing the quality of the radiator and the heat dissipation effect, the optimal radiator parameters are selected to achieve the purpose of optimization. This method belongs to the technical field of reliability engineering of avionics products. (two) background technology: [0002] With the rapid development of my country's aerospace industry, a large number of electronic systems have become the main components of weapons and equipment, and the reliability of electronic equipment has become an important factor affecting the combat capability of weapons and equipment. As an...

AI Technical Summary

Problems solved by technology

In the traditional heat sink design process, it relies more on the experience of the designer, if it is successful, it will continue to be used, and if it cannot meet the actual needs, it will be replaced

This design method has two major disadvantages. First, the traditional method cannot optimize the selected radiator, and cannot guarantee that the selected radiator parameters are the optimal situation under the current conditions; secondly, the traditional selection method has hysteresis. Design changes often occur after power device failures, resulting in waste of design costs and cycles

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