Realization of parts lifecycle lengthening using highly automated inspection system

本研究取得了以下成果：(1)研制了一套高度自动化的检测系统。该系统由光学表面评价单元和试件托架单元组成。利用配备了CCD相机的显微镜采集零件表面的图像，并利用图像处理技术对图像进行分析。实验结果表明，该检测系统对缺陷和磨损的评价是有效的。(2)基于组合优化的选择性装配，对零件的组合进行了优化，使每个零件都能以最大的装配率在批量单元内得到高质量的装配。仿真结果表明，如果采用遗传算法对可重复使用的零件进行选择性装配，则可以重复使用可重复使用的零件。(3)开发和研究了一种新型的可重构的零件进给系统。该进给系统采用了基于压电致动器的斜销网格阵列的振动来实现零件的进给运动。通过实验成功地实现了物体的移动。实验验证了该进给系统的运动。光固化树脂销连续使用110天后，其功能不受影响。(4)提出了可重构制造系统的三维图形仿真环境，该环境由运输机器人、输入工位、输出工位、可移动制造单元和待加工对象组成。利用粒子群算法对制造单元布局进行了优化，并通过几个制造实例的仿真结果验证了该仿真器的有效性。

In this study, the following results' are obtained.(1) We have developed a highly automated inspection system.The system consists of optical surface evaluation unit and specimen carriage unit.Images of the surface of part are captured with a CCD camera-equipped microscope and are analyzed using image processing techniques.Experimental results show that the inspection system is effective for flaw and wear evaluation.(2)With selective assembly based on combinatorial optimization, a combination of parts is optimized so that high quality assemblies are obtained in a lot unit at the maximum assembly rate while dimensions of each part are referred to appropriately.Simulation results show that reusable parts can be reused if the reusable parts are assembled by selective assembly using genetic algorithm.(3)A new reconfigurable parts feeding system using arrayed vibratory units made by stereolithography has been developed and investigated.The parts feeding motion is achieved by vibration of an inclined pin grid array using piezoelectric actuators.Experiments moving objects have been successfully performed.Motions of the parts feeding system have been demonstrated experimentally, and lifetime measurements demonstrated the long-term stability of the system.The functionality of the photopolymer resin pins is unaffected through 110 days continuous use.(4)We have proposed a 3D graphics simulation environment for the analysis and evaluation of reconfigurable manufacturing systems.The reconfigurable manufacturing systems consist of transport robots, input stations, output stations, movable manufacturing cells, and objects to process. The layout of the manufacturing cells is optimized using particle swarm optimization.The effectiveness of the simulator is validated through simulation results of several manufacturing cases.