螺钉机工艺智能化设计与仿真方法研究  

Research on Intelligent Design and Simulation Method of Screw Machine Process

作　　者：孙国栋 何其昌 Sun Guodong;He Qichang(Institute of Intelligent Manufacturing and Information Engineering,School of Mechanical Engineering,Shanghai Jiao Tong University,Shanghai 200240,China)

机构地区：[1]上海交通大学,机械与动力工程学院智能制造与信息工程研究所,上海200240

出　　处：《系统仿真学报》2021年第1期62-73,共12页Journal of System Simulation

基　　金：国家自然科学基金(51975362)。

摘　　要：针对自动螺钉机工艺方案设计效率低,质量差等问题,基于Tecnomatix平台开发螺钉机工艺方案设计与仿真系统。借助图像识别技术获得螺钉孔位置,使用雷达式螺旋算法、改进的遗传算法优化螺钉拧紧次序,通过与Tecnomatix平台的集成,在三维虚拟环境中进行干涉仿真评估。应用案例表明,图像识别坐标的偏差符合仿真的要求;自适应变异有助于加快遗传算法求解速度与跳出局部最优解;雷达式螺旋算法、改进的遗传算法既可以提高拧紧次序的求解速度,又可以在满足工艺要求的基础上,缩短拧紧路径。Aiming at the difficulty during the process design of the automatic screw machines, such as low efficiency and poor quality, a screw machine process design and verification system is developed. Supported by image recognition technology, the system would automatically obtain the quantity and the locations of the screwing holes from the top view. An optimization model will be established to optimize the tightening sequence of the screw according to RSA(Radar Spiral Algorithm) and improved genetic algorithm. An integration is conducted into Tecnomatix to simulate those optimized sequence in case of collision. The results indicate that the error range between the coordinate obtained by image recognition technology and the real one is tiny enough for simulation;applying adapted mutation to generic algorithm helps to speed up the convergence in early stage and escape the local optimal solution in late stage simultaneously;optimizing with RSA and improved genetic algorithm can not only improve the efficiency of searching the solution, but also shorten the screwing path based on the process requirements.

关 键 词：自动螺钉机 图像识别 最短路径 遗传算法 自适应变异 Tecnomatix 

分 类 号：TP311.5[自动化与计算机技术—计算机软件与理论]