Automation Design of Auto Tray in IC Packing System

• Main Authors: Yu-Hung Hsieh, 謝育虹
• Other Authors: Ting Yung
• Format: Others
• Language: zh-TW
• Published: 2019
• Online Access: http://ndltd.ncl.edu.tw/handle/rma578

碩士 === 中原大學 === 機械工程研究所 === 107 === Abstract The main focus of this report is to develop an automatic operation system for IC component packaging and accomplish modular design and application purpose so that completely replacing manual work. Based upon the recoding data measured in the production process of IC component packaging, the demanding production technology is thus defined. Also, considering the automation problems in the process of IC packaging, modular design of mechanism for pick-and-place operation and the classification of IC components by using vision-based inspection is carried out. Tray (pallet) is probably the most commonly used material handling equipment to contain IC components. Following the way of manually insert the IC component into the tray, a SCARA robot is integrated with a vision system to grab IC components and insert them into the tray. That is, the vision system is able to recognize the position and shape of the IC components, which provides important information for the four degree-of-freedom SCARA robot to define the pick-and place trajectory and calculate the number of the picked IC components, and achieve the goal of classification. Also, via the vision-based inspection, the source pallet edge and bevel directivity are measured to identify the positioning accuracy. In practical operation of the integrated system manipulating from tray A to tray B, the positioning accuracy is 0.03mm, and 3 pieces are failed in 3200 pieces of IC component under the production speed of 95pcs/min, which indicates the error rate is 0.09% far below the requirement of 0.3%.The developed system is verified to reach the target of reducing the problem of product shortage and pollution due to unsteady manual work so that improving the overall production efficiency. Key Words: IC Tray, Vision-based inspection, SCARA Robot.