Application Research On Ferris Wheel Pipe Arc Welding Robot

With the rapid development of industry, the application of welding automation has developed rapidly, but the application level of welding robot is not deep enough, this paper studies the application in the production of the construction of pipe arc welding robot, which is based on the software and hardware of the robot and solves the structural problem of the actual welding tube. Taking the tube structure of ferris wheel as an example, which discusses mainly about siasun robot welding operation in the tube structure, with T tube as an example of a typical structure style of the welding trajectory simulation, to model the actual tube structure size, to work out the welding trajectory, to extract the welding trajectory, to debug robot model in the virtual workstation according to the welding process, the end of the welding torch of welding robot in the process of the movement of the attitude to adjust purposefully, to make the welding robot complete welding automatically according to the ideal purpose and efficiency.Firstly, let me make a brief introduction about the ferris wheel, with T tube structure as an example,to analyse the typical structure and the characteristics of the welding and analyse detailedly the nozzle-vessel junction nodes,and regard this type tube structure as the experimental specimen. Secondly, adopting two methods,that is,teaching and offline to set welding trajectory, and analyze the advantages and disadvantages of the two methods, the thesis mainly adopted the off-line method,through modeling, the path extraction, walking trajectory simulation of welding process such as offline simulation process, to observe the welding path of walking process on the computer screen, at the same time, adjusting the welding torch posture and position according to the actual welding process, analyzing the key problems of off-line programming technology;calibration problem, path generation problems, thepath and storage,and the path planning will be reflected in the process of offline simulation. Finally, analyzing the welding method selection, the welding material selection, disposing before welding and the welding defects, to selecte and optimize the welding parameters and connect the welding robot, using the appropriate welding process, finally to complete the welding. With the offline simulation method, which can be observed the welding process in advance and we can make a visual adjustment about non-ideal result, to make the actual welding process be completed accurately at one time, which has realized the reduce of the waste in resources in industrial production, in order to complete the welding process fast and accurately, at last to solve the problems of manual welding and difficult welding in special environments and improve the intelligent level of welding.