Enterprise is the focus of robot application, from the technical point of view, the current enterprise industrial robot in the application of four difficulties, respectively, motion accuracy, operation stability, layout diversity, ease of operation.
Questions about the accuracy of robot motion and the smoothness of the job may answer why some jobs are not yet suitable for replacement by machines.
In the process of automobile manufacturing, industrial robots have been able to completely replace human labor in welding, spraying and other processes, and can ensure that the quality of products has been significantly improved. However, in the manufacturing, processing and assembly of some precision parts, due to the accuracy and stability of the robot operation is not high enough, this part of the work still has to rely on manual. Foxconn, as the largest contract factory of Apple Inc., has repeatedly announced the introduction of robots to replace manual operation, but the output effect of robots is not satisfactory. In 2016, the management of Foxconn said that it was difficult for the robot to maintain such high accuracy for the screws assembled on the iPhone. If the screws were not aligned, both the iPhone and the robot would be scrapped. This, in turn, has led to greater maintenance costs. Currently, Foxconn's robots are produced with an accuracy of 0.05mm, compared to the 0.02mm required for iphones.
In order to realize the dexterous motion control of robot, it is necessary to ensure the accuracy of robot motion and smooth operation. Tan Jianrong believes that the motion accuracy problem, from the technical point of view, is how to realize the accurate modeling and solution of industrial robot kinematics. Dynamic analysis is necessary to make the robot motion stationary. In theory, the joint of the robot is a point. In fact, the joint of the robot has a gap. The impact and vibration caused by the gap of the moving pair will affect the stability of the robot.
Industrial robots also face the problem of layout diversity. At present, industrial robot application market accounts for a large number of industries are automotive (including auto parts, vehicle, automotive electronics), 3c electronics, metal processing. Especially in the field of 3C electronics, the speed of product upgrading is fast, and the flexibility requirements, precision and speed are relatively higher. When using industrial robots, we must consider how to layout design to quickly adapt to the company's new products and new processes. Introducing robots can lead to additional costs if they don't adapt to production line adjustments, or if it takes too long to debug them, or if they don't match the new product at all. At the end of the day, it's all about job flow design, kinematics and dynamics design, and its accuracy and balance design, so that the robot becomes more flexible and can adapt to different production modes.
Ease of use is also an issue. Robot operation, control switch and daily maintenance, maintenance, etc., the salary of advanced technical personnel is higher than that of ordinary operators without robots. Even if the cost is not taken into account, it is not easy to hire a qualified engineer due to the huge shortage of robot application talents in China and the high requirement for professionalism. This is also the simple operation, easy to use good teaching robot is popular in the market. Tan Jianrong believes that to improve the ease of use of robots, it is necessary to realize the teaching of robots.
Although the application of industrial robots in our country is still mainly in the automobile industry, but driven by 5G technology, the demand for industrial robots of 3C electronics increases obviously, and develops in the direction of small and fine, fine and fast. In addition, with the increasing demand for automation in food, warehousing, photovoltaic and other industries, the demand for robots in these industries is also gradually increasing. If these four problems can be solved, it will undoubtedly accelerate the application of industrial robots in the manufacturing industry.