Realization of parts lifecycle lengthening using highly automated inspection system

在本研究中，得到以下结果：我们开发了一套高度自动化的检验系统。该系统由光学表面评估单元和样品运输单元组成。用配备CCD相机的显微镜捕捉零件表面的图像，并用图像处理技术对其进行分析。实验结果表明，该检测系统对裂纹和磨损的评定是有效的。(2)基于组合优化的选择性装配，在适当参考零件尺寸的情况下，以最大的装配率对零件组合进行优化，使零件在一个批量单元内获得高质量的装配件。仿真结果表明，采用遗传算法对可重用部件进行选择性装配，可以实现可重用部件的重复使用。(3)开发并研究了一种利用立体光刻技术制造的阵列振动单元的可重构零件进给系统。零件的进给运动是通过压电致动器对斜针栅阵列的振动来实现的。已经成功地进行了移动物体的实验。零件进给系统的运动已被实验证明，寿命测量证明了系统的长期稳定性。通过110天的连续使用，光聚合物树脂引脚的功能不受影响。(4)提出了用于可重构制造系统分析与评价的三维图形仿真环境。可重构制造系统由运输机器人、输入站、输出站、可移动制造单元和待加工对象组成。采用粒子群算法对制造单元的布局进行优化。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.