集成软件平台下的挖掘机动臂优化设计

Optimization design of excavator boom based on integrated software platform

在挖掘机动臂设计过程中,由于多种软件之间数据转化困难,缺乏集成优化设计平台,导致设计过程需要反复试算,效率很低。因此,成功搭建了包括ANSYS、HyperMesh、UG、iSIGHT的集成软件平台,完成了不同软件之间的数据自动交换,解决了集成平台数据接口难题。以挖掘机动臂轻量化作为目标,对动臂进行了优化设计。采用优化拉丁方法进行了试验设计,并根据试验设计结果,用Pareto方法筛选出对目标影响显著的优化变量。利用多岛遗传算法以及序列二次规划法,对动臂优化模型以质量最小为目标进行了优化设计,使得挖掘机动臂质量下降15%,优化效果显著。集成平台方法为解决挖掘机动臂优化以及类似问题提供了一种新的解决方案。

During the design of the excavator boom, because of the difficulties in data exchange among various software and lack of integrated optimization design platform, repeated calculation was required in the design process and the efficiency was low. In the paper, an integrated platform was built involving the software such as ANSYS, HyperMesh, UG, iSIGHT and so on, which made it possible to exchange data among these software, so as to solve the problem of data interface of the integrated platform. Lightweight boom of the excavator served as the optimization target, an optimization design of the boom was conducted. The test design of the boom was conducted by using optimal Latin Hypercube method, and according to the test design results, optimization variables which had significant effects on the target were identified by using Pareto method. The mass of the excavator boom reduced by 15% by using multi-island genetic algorithm and sequential quadratic programming, the remarkable optimization effects were achieved. The integrated platform provided a new solution to solve the optimization of the excavator boom and similar issues.