Classification of Nonferrous Metals Using Magnetic Induction Spectroscopy
- Submitting institution
-
Manchester Metropolitan University
- Unit of assessment
- 12 - Engineering
- Output identifier
- 1879
- Type
- D - Journal article
- DOI
-
10.1109/TII.2017.2786778
- Title of journal
- IEEE Transactions on Industrial Informatics
- Article number
- -
- First page
- 3477
- Volume
- 14
- Issue
- 8
- ISSN
- 1551-3203
- Open access status
- Compliant
- Month of publication
- December
- Year of publication
- 2017
- URL
-
https://ieeexplore.ieee.org/document/8239672
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
-
2
- Research group(s)
-
C - Smart Infrastructure
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- Scrap streams of non-ferrous metal are often hand-sorted using low cost labour in developing countries due to the lack of a cost-effective automated solution. This paper shows, for the first time, effective sorting based on electrical conductivity using electromagnetic induction spectroscopy with industrially relevant recovery rates and speeds. A patent has been filed based on this paper. The technology has been licensed to Magnapower, a UK based manufacturer of metal sorting equipment, and a commercial prototype is under development. This research gained international recognition through further publications and the ‘Best Annual Conference Paper Award’ at BINDT 2017.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -