基于智能优化的汽车内板件回弹控制

针对汽车内板件冲压回弹缺陷,基于eta/DYNAFORM软件对不同工艺参数下汽车内板件的拉深成形过程进行数值模拟,采用正交实验设计方法分析压边力和多处拉深阻力等工艺参数对成形回弹量的影响;基于人工神经网络技术,建立板料拉深成形各工艺参数和成形回弹量之间的网络关系;并基于遗传算法对各工艺参数进行优化设计。实验表明,数值模拟、神经网络模型和遗传算法优化可靠,从而为实际生产提供了理论依据。

Control of springback in the forming process of auto inner panels based on intelligent optimization

In order to analyze the springback of auto inner panels,the drawing process of the part was simulated with different process parameters by using eta/DYNAFORM software.By analyzing the experimental data obtained through orthogonal method,the influence of the process parameters including blank holder force and kinds of drawbead on the springback was determined in the drawing process of the part.The data got from the orthogonal experiment was used as the training sample to establish a neural network model in w...