Detailed Information

Cited 0 time in webofscience Cited 0 time in scopus
Metadata Downloads

Liberation Characteristics Assessment for Copper Component in PCB Comminution Product by Image Analysisopen access

Authors
Park, SeungsooKim, SeongminHan, SeongsooKim, BoramKim, ByeongwooHan, YosepPark, Jai Koo
Issue Date
Jul-2018
Publisher
JAPAN INST METALS
Keywords
copper; degree of liberation; image analysis; printed circuit board; recycling
Citation
MATERIALS TRANSACTIONS, v.59, no.9, pp 1493 - 1500
Pages
8
Indexed
SCI
SCIE
SCOPUS
Journal Title
MATERIALS TRANSACTIONS
Volume
59
Number
9
Start Page
1493
End Page
1500
URI
https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/203559
DOI
10.2320/matertrans.M2018113
ISSN
1345-9678
1347-5320
Abstract
Cu is one of the most valuable metals found in waste printed circuit boards (PCBs). In order to recover the metals from the e-waste, PCB recycling process exploiting physical concentration techniques have widely been applied. Size reduction steps including crushing and grinding are done for liberation of Cu from the non-metallic materials such as glass fiber and epoxy resin. Degree of liberation is an important factor by which liberation performance of comminution process is evaluated. The primary purpose of this study was to investigate liberation characteristics of Cu particles in comminuted PCB by using image analysis method. The analysis procedures include image processing such as noise reduction, edge detection and component discrimination so that a set of images of ground PCB particles provides quantitative information such as Cu grade distribution and degree of Cu liberation. The Cu liberation phenomenon was also discussed in terms of its disassociation behavior from non-metallic material and grindability difference.
Files in This Item
Go to Link
Appears in
Collections
서울 공과대학 > 서울 자원환경공학과 > 1. Journal Articles

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Altmetrics

Total Views & Downloads

BROWSE