Reserch Of The Chip-on-Glass(COG) Equipment And Its Alignment Calibration Method

With the development of national economy,FPD(Flat Panel Display industry)develops rapidly,Flexible?low power consumption?high resolution?thin and light become the direction of development.The development of technology of VR?AR?transparent display and Oxide semiconductor has created more difficult challenges and more market demand.Nowadays,in the module process of FPD,COG equipment has been widely used for its high density and high reliability.The COG process can be divided into three parts:ACF adhering?pre-bonding and main bonding.At the moment,COG equipment is mainly used in high-end electronic products and communication products,so the high reliability of the electronic devices is required.How to improve the alignment precision of equipment and takt time is the key problem that most flat panel companies and equipment manufacturers concern about.Starting with COG process,this text analyze and discuss the manufacture requirement in detail,and then design the integral structure and control system in accordance with manufacture requirement.In the end,this text have a detailed discussion and analysis about the hardware selection,project design and operating principle of visual alignment system which is the difficultest part in the design process.According to the operation sequence of visual alignment system,the entire system life cycle is divided into three parts: Optical adjustment process?kinematics calibration process and visual alignment process.Through careful calculation and introduction of kinematics calibration method,this text put forward an new idea about kinematics calibration method based on Ransac.By carrying out iteration screening several times with the solution based on the density distribution model of the sample data,we can derive the results on the basis of the optimum solution.The experimental results show that by using iterative calculation within 10 groups of random sample datum,it costs 697.6 seconds on average,and the calibration accuracy of this method is within 7.2 pixels,Besides,the results of the 7 datasets all meet the precision requirement of the 10 pixels.At last,we conduct a experimental verification by using the prototype machine which manufactured according the solution described in this text.The same type imported equipment has a takt time of 4 seconds per chip and alignment precision of ±4?m.Compared to same type imported equipment,the prototype machine we manufactured has a takt time of 3 seconds per chip and alignment precision of ±3?m.The results reach the advanced international standards.