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The Components Layout Optimization of Circuit Module Based on the Artificial Nerve Network

机译:基于人工神经网络的电路模块元器件布局优化

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With the increasingly complexity function and ameliorative performance of electronic products, the density of the PCB(printed circuit board) and the frequency of the correlative parts are continuously rising, and are resulting in all sorts of challenge concerning high speed and high density PCB design. And with the improvement of the PCB assembly density , the power dissipation per unit area is increased accordingly and the heat in the PCB is concentrated highly.And the temperature increment of some device and component or other will lead to the circuit work stability and reliability, for an example, bringing forth the thermal fatigue failure of the electronic component. So, the thermal design of the electronic product is the keypoint the engineering designer should put emphases on . Among all , reliable thermal analysis and design is just the important method of improving thermal reliability of PCB . In this paper a model for temperature field analysis is established by FEM( finite element method) and computer aided thermal simulation soft,with regard to such factors affecting temperature as heat generation 、 heat diffusion manner and direction 、 ratio of length and width of component 、 thickness of PCB and so on. And the artificial nerve network method for components layout optimization is applied to achived a reasonable components position in a small space and a best temperature distribution . Also some reference of concrete measure and method for thermal design is hoped to do the PCB designers a favor. In this paper , a simplified pc module of the threedimensional asmble circuit module is treated as analysis object , and is analized by general finite element soft -ANSYS . Its geometric and finite element simulation model are shown as figure 1 and 2 respectively, and corresponding material parameters is shown in table 1 . By changing such different variable parameters as heat generation 、 component layout direction 、 PCB thickness and so on, some samples for different temperature distribution through analysis by ANSYS are attained, as are shown in figure 3 and 4.Then adopting artificial nerve network for layout prediction and optimization , preferable PCB components layout and other matter can be achieved, just shown in figure 5. With aboved analysis , such conclusions for component layout for PCB thermal design as : 1) keeping the PCB surface temperature equality and consistency; 2) laying the maximal power dissipation and the maximal component generating heat nearby the best heat dissipation location; 3)no placing the higher heat generation components at the corner of the PCB or around, excepting some heat diffusion equipment around them ; 4) choosing some bigger components while designing and selecting power dissipation ones , and keeping enough heat diffusion space while adjusting PCB layout and so on . Anyway , a reasonable thermal design can enhance the stability and improve the use life of the circuit module, and promote the application and development of the circuit module.
机译:随着电子产品功能的复杂性和改善性能的日益提高,PCB(印刷电路板)的密度和相关部件的频率不断提高,从而带来了关于高速高密度PCB设计的各种挑战。随着PCB装配密度的提高,单位面积的功耗也相应增加,PCB中的热量高度集中,某些器件和组件或其他器件的温度升高会导致电路工作的稳定性和可靠性,例如,引起电子部件的热疲劳破坏。因此,电子产品的热设计是工程设计师应重点关注的重点。其中,可靠的热分析和设计只是提高PCB热可靠性的重要方法。结合有限元法和计算机辅助热模拟软件,建立了影响温度的因素,如热量的产生,热的扩散方式和方向,部件的长宽比,温度等。 PCB的厚度等。并用人工神经网络进行零件布局优化,在较小的空间内合理地布置零件,并达到最佳的温度分布。希望对热设计的具体措施和方法有一些参考,希望能对PCB设计人员有所帮助。本文将三维组装电路模块的简化pc模块作为分析对象,并用通用有限元软件-ANSYS对其进行了分析。其几何模型和有限元模拟模型分别如图1和2所示,相应的材料参数如表1所示。通过改变生热,元件布局方向,PCB厚度等可变参数,通过ANSYS分析得到一些温度分布不同的样品,如图3和图4所示,然后采用人工神经网络进行布局预测。经过优化,可以得到优选的PCB元件布局及其他条件,如图5所示。通过以上分析,得出PCB热设计元件布局的结论为:1)保持PCB表面温度均匀一致。 2)在最佳散热位置附近放置最大功耗和最大发热组件; 3)除了在其周围有一些散热设备外,不要在PCB的一角或附近放置发热较高的组件; 4)在设计和选择功耗较大的元件时选择一些较大的元件,并在调整PCB布局等时保持足够的散热空间。无论如何,合理的散热设计可以提高电路模块的稳定性,延长其使用寿命,促进电路模块的应用和发展。

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