An impact crushing dynamic model of waste printed circuit board particles

An impact crushing dynamic model of waste printed circuit board particles In order to obtain optimal particle size and distribution of crushed waste printed circuit boards (PCBs) for high-quantify separation of Cu and nonmetal, different distribution models are used to describe waste PCBs particles impact crushing distribution characteristics. The results showed that: Rosin–Rammler distribution can more accurately describe waste PCBs impact crushing distribution regularity, and can be used to predict waste PCBs particles impact crushing distribution characteristics. Based on this, a new dynamic model for impact crushing waste PCBs particle size and distribution was established. It was used to analyze the impact crushing distribution characteristics of the waste PCBs particles with the same mass and different size grades, and with the same size grades and different mass. The results have a good agreement with the actual crushing results. This model has some significance for the processing of waste PCBs impact crushing, and this research possibly offers a basis for the design of waste PCBs recycling production lines. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Research on Chemical Intermediates Springer Journals

An impact crushing dynamic model of waste printed circuit board particles

Loading next page...
 
/lp/springer_journal/an-impact-crushing-dynamic-model-of-waste-printed-circuit-board-rbjiiZIXpF
Publisher
Springer Journals
Copyright
Copyright © 2012 by Springer Science+Business Media Dordrecht
Subject
Chemistry; Catalysis; Physical Chemistry; Inorganic Chemistry
ISSN
0922-6168
eISSN
1568-5675
D.O.I.
10.1007/s11164-012-0866-5
Publisher site
See Article on Publisher Site

Abstract

In order to obtain optimal particle size and distribution of crushed waste printed circuit boards (PCBs) for high-quantify separation of Cu and nonmetal, different distribution models are used to describe waste PCBs particles impact crushing distribution characteristics. The results showed that: Rosin–Rammler distribution can more accurately describe waste PCBs impact crushing distribution regularity, and can be used to predict waste PCBs particles impact crushing distribution characteristics. Based on this, a new dynamic model for impact crushing waste PCBs particle size and distribution was established. It was used to analyze the impact crushing distribution characteristics of the waste PCBs particles with the same mass and different size grades, and with the same size grades and different mass. The results have a good agreement with the actual crushing results. This model has some significance for the processing of waste PCBs impact crushing, and this research possibly offers a basis for the design of waste PCBs recycling production lines.

Journal

Research on Chemical IntermediatesSpringer Journals

Published: Oct 31, 2012

References

You’re reading a free preview. Subscribe to read the entire article.


DeepDyve is your
personal research library

It’s your single place to instantly
discover and read the research
that matters to you.

Enjoy affordable access to
over 18 million articles from more than
15,000 peer-reviewed journals.

All for just $49/month

Explore the DeepDyve Library

Search

Query the DeepDyve database, plus search all of PubMed and Google Scholar seamlessly

Organize

Save any article or search result from DeepDyve, PubMed, and Google Scholar... all in one place.

Access

Get unlimited, online access to over 18 million full-text articles from more than 15,000 scientific journals.

Your journals are on DeepDyve

Read from thousands of the leading scholarly journals from SpringerNature, Elsevier, Wiley-Blackwell, Oxford University Press and more.

All the latest content is available, no embargo periods.

See the journals in your area

DeepDyve

Freelancer

DeepDyve

Pro

Price

FREE

$49/month
$360/year

Save searches from
Google Scholar,
PubMed

Create lists to
organize your research

Export lists, citations

Read DeepDyve articles

Abstract access only

Unlimited access to over
18 million full-text articles

Print

20 pages / month

PDF Discount

20% off