Thesis Defense - Bayram Yurdakurban (MSCS)

Bayram Yurdakurban - M.Sc.Computer Science

Asst. Prof. Furkan Kıraç – Advisor

Date: 14.01.2021

Time: 13:00

Location: This meeting will be held ONLINE. Please send an e-mail to gizem.bakir@ozyegin.edu.tr in order to participate in this defense.

X-Ray Analysis Prediction of BGA Components in PCBA Production with Neural Networks

Thesis Committee:

Asst. Prof. Furkan Kıraç, Özyeğin University

Asst. Prof. Reyhan Aydoğan, Özyeğin University

Assoc. Prof. Arzucan Özgür, Boğaziçi University

Abstract:

Printed circuit boards are the most important part of all electronic devices and the production of these boards consists of many critical processes such as solder printing and component placement. Production lines contain different inspection devices such as Solder Paste Inspection (SPI) and Automatic Optical Inspection (AOI) in order to detect the defects in circuit boards. Since these devices may not determine some defects, the boards are also inspected by X-Ray devices. This project aims to develop a neural network model that takes SPI and AOI measurement values as input and predicts potentially defective boards before X-Ray testing. The model allows performing X-Ray tests of suspicious boards, rather than randomly chosen circuit boards. The data will be collected for 17MB170R4 model boards, which are the main board of televisions produced in Vestel Electronics Factory, and this model will be applied for four Ball Grid Array (BGA) components on this board. By virtue of the model, it is possible to detect all defective boards by X-Ray testing only 1% of all circuit boards produced.

Bio: 

Bayram Yurdakurban graduated with a bachelor’s degree from Istanbul Technical University, Mechanical Engineering Department in 2014. He also graduated from Control and Automation Engineering with a bachelor’s degree in 2015. He has been working as an Automation Specialist at Vestel Electronics since 2015. His areas of expertise are programming of industrial robots and PLCs, the internet of things, data collection with Raspberry Pi, database management, and software development. He is also interested in data science and machine learning fields and conducts some studies.