基于多元技术的微型泵综合优化设计

针对微型泵参数单独优化存在的不精确性，提出了一种将有限元、粗糙集理论、多元回归分析及遗传算法相结合的综合优化设计新方法。采用有限元方法对大量虚拟微型泵的设计实例进行了多能量域耦合场动态特性分析，获取信息数据；采用粗糙集理论和遗传算法对获得的信息进行了数据挖掘，确定影响微型泵性能的关键属性。以获取的信息数据和关键属性为依据，采用多元回归方法建立了综合优化设计模型。基于以上方法，对相应原型软件进行了开发，并利用该软件对热驱动微型泵进行了综合优化设计，优化后的热驱动微型泵的效率得到了明显的提高。研究结果表明，该方法和原型软件具有可行性，可以应用于其他微器件的综合优化设计。

Research on method for optimal design synthesis of micro-pumps based on multidisciplinary approach

To deal with imprecision in single parameter optimized design for the micro-pumps, a multidisciplinary approach integrated with Finite Element Method (FEM), Rough Set Theory (RST), Multi Regression Analysis (MRA) and Genetic Algorithm (GA) was proposed. With this approach, the FEM was used to analyze the dynamic properties of the virtual product applications with coupled-energy-domain and information data could be obtained; The RST and the GA were used to mine the data from achieved information, and key attributes affecting the properties of the micro-pumps could be defined. Based on achieved data and key attributes, the general optimized design model was constructed by the MRA method. The prototype software of optimized design synthesis of the micro-pumps was developed based on these approaches. And the optimized design synthesis of a thermal actuated micro-pump was conducted by making use of the prototype software. Efficiency of the thermal actuated micro-pump has been significantly improved. The research results indicated that the method and the prototype software were feasible and practical and could be applied to the optimized design synthesis of other micro-components.