多机器人协作系统在无损检测中的应用
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摘要
传统的钛合金铸件无损检测方法采用人工摆放零件和胶片配合射线机进行拍摄,这种方法拍摄成本高、效率低、效果不稳定。文章以某航空部件的检测为例,在原有检测工艺流程的基础上提出一种采用多机器人协作配合数字射线成像的检测方法,根据其检测的工艺流程设计并开发了相应的硬件系统和控制系统,并设计了相应的人机交互界面,实现了对系统的远程控制与实时监测。实验结果表明该系统自动化程度高、稳定可靠、改善了操作人员的工作环境、使单件产品的检测效率提高了60%。
The traditional nondestructive testing method for titanium alloy castings is made by placing parts and films together with a ray machine. This method has high cost, low efficiency and unstable effect. In this paper, detection of a certain aircraft parts as an example, based on the original detection process and proposes a collaborative detection method for digital X-ray imaging using multi robot, according to the design process of the detection and the development of the corresponding hardware system and control system, and designed the man-machine interface, realize remote control with the real-time monitoring of the system. The experimental results show that the system has a high degree of automation, stability and reliability, improves the operating environment of the operator, and improves the detection efficiency of single piece products by 60%.
The traditional nondestructive testing method for titanium alloy castings is made by placing parts and films together with a ray machine. This method has high cost, low efficiency and unstable effect. In this paper, detection of a certain aircraft parts as an example, based on the original detection process and proposes a collaborative detection method for digital X-ray imaging using multi robot, according to the design process of the detection and the development of the corresponding hardware system and control system, and designed the man-machine interface, realize remote control with the real-time monitoring of the system. The experimental results show that the system has a high degree of automation, stability and reliability, improves the operating environment of the operator, and improves the detection efficiency of single piece products by 60%.
引文
[1] 王伏喜,郭会丽,付鲲鹏.钛合金铸件X射线检测[J].铸造技术,2017,38(5):1241-1243.
[2] 张臻.基于X射线测量的铝合金铸件微观缺陷预测及分析[J].铸造技术,2014, 35(11): 2760-2762.
[3] 李东辉,白金兰.连铸小方坯表面裂纹缺陷的在线判定[J].铸造技术, 2014,35(8): 1902-1904.
[4] 李红启.全球大型商用飞机制造业的发展及影响因素[J]. 中国市场, 2012(24):74-81.
[5] 叶晖,管小清.工业机器人实操与应用技巧[M].北京:机械工业出版社, 2010.
[6] 李支茂,谌永祥,李双跃,等.柔性水泥包装线控制系统的设计研究[J].机械设计与制造,2016(1):169-171,175.
[7] 陈立新.工业机器人在冲压自动化生产线的应用[J].机械设计与制造,2010(10):94-96.
[8] 范斌. 德国倍福自动化技术的创新实践者[J]. 智慧工厂,2016(5):40-41.
[9] 张学志.倍福控制系统在集中供热系统中的应用[J]. 山西科技,2017,32(5):145-147.
[2] 张臻.基于X射线测量的铝合金铸件微观缺陷预测及分析[J].铸造技术,2014, 35(11): 2760-2762.
[3] 李东辉,白金兰.连铸小方坯表面裂纹缺陷的在线判定[J].铸造技术, 2014,35(8): 1902-1904.
[4] 李红启.全球大型商用飞机制造业的发展及影响因素[J]. 中国市场, 2012(24):74-81.
[5] 叶晖,管小清.工业机器人实操与应用技巧[M].北京:机械工业出版社, 2010.
[6] 李支茂,谌永祥,李双跃,等.柔性水泥包装线控制系统的设计研究[J].机械设计与制造,2016(1):169-171,175.
[7] 陈立新.工业机器人在冲压自动化生产线的应用[J].机械设计与制造,2010(10):94-96.
[8] 范斌. 德国倍福自动化技术的创新实践者[J]. 智慧工厂,2016(5):40-41.
[9] 张学志.倍福控制系统在集中供热系统中的应用[J]. 山西科技,2017,32(5):145-147.