The Capability Study On Automated Visual Inspection (AVI) Machine For FPCB Inspection

• Auteur principal: Teng, Guat Theng
• Format: Thèse
• Langue: anglais; anglais
• Publié: 2020
• Sujets: T Technology (General); TK Electrical engineering. Electronics Nuclear engineering
• Accès en ligne: http://eprints.utem.edu.my/id/eprint/25582/; https://plh.utem.edu.my/cgi-bin/koha/opac-detail.pl?biblionumber=119124

Recently the industries provide visual inspection processes in the plants for keeping and guaranteeing product quality. Many visual inspection processes are normally operated by the manual visual inspection. The results of the manual visual inspection are often unstable because the results are depended on the inspection worker skill. Currently the automated visual inspection (A VI) technologies are getting more important to stably keep and guarantee product quality. MFS Technology (M) Sdn. Bhd. are owned a semiauto A VI machine but it not fully utilize. Therefore, this study will study on the machine capability to access the machine capability on the Flexible Printed Circuit Board (FPCB) inspection at final inspection stage. In MFS Technology, the finished goods products is required to perform 100% human visual inspection before shipment to prevent defect escapee and guarantee the product quality. However the human inspection will bring a lot of uncertainty due to human factor such as fatigue, lack of awareness and etc. Therefore, A VI machine is required to automatically detect the defective mode for inspector to perform final judgment based on acceptance criteria. This study will perform correlation study and MSA analysis to access the AVl machine capability by using Top 3 defect that frequently detected during visual inspectlila~hich is Embedded Foreign Material (EFM), Expose Copper on Gold (ECG), and coverlay damage (CD). Each defect mode are collected 10 samples and tested by 3 appraiser for 3 trail to perform repeatability and reproducibility (GR&R) study. The result of the study indicted that the capability study of the A VI machine is 100% effectiveness with Kappa value is 1.0. In short, the capability study on A VI machine is capable detect the FPCB for top 3 defect without any missed judgment.