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Waste Management & Research, Vol. 24, No. 1, 48-59 (2006)
DOI: 10.1177/0734242X06061017

Spectral cullet classification in the mid-infrared field for ceramic glass contaminants detection

Silvia Serranti

Dipartimento di Ingegneria Chimica, dei Materiali delle Materie Prime e Metallurgia, Università Degli Studi di Roma "La Sapienza", Rome, Italy, silvia.serranti{at}uniroma1.it

Giuseppe Bonifazi

Dipartimento di Ingegneria Chimica, dei Materiali delle Materie Prime e Metallurgia, Università Degli Studi di Roma "La Sapienza", Rome, Italy

Roland Pohl

Reiling Glas Recycling GmbH &Co. KG, Marienfeld, Germany

The presence of glass-like contaminants inside waste glass products, usually resulting from both industrial and differentiated urban waste collection, has greatly increased in recent years, due to the introduction to the market of a large amount of goods manufactured from ceramic glass. The presence of contaminants in the glass recycling streams reduces product quality and increases production costs. The detection of ceramic glass detection is an unresolved problem, as such material looks like normal glass and can only be detected by trained personnel. In this study an innovative approach to ceramic glass recognition, based on the spectral signature in the mid-infrared (MIR) field, was proposed and investigated. The study specifically addressed the spectral characterization of glass and ceramic glass fragments collected in a real recycling plant from two different production lines: coloured container glass and white container glass. To define suitable inspection strategies to separate the useful (glass) from the polluting (ceramic glass) materials at the recycling plants, fragments presenting different colour, thickness, size, shape and manufacturing were selected. Both dirty and clean cullet was considered. The analyses, carried out in the MIR spectral field (2280- 4480 nm), show that ceramic glass and glass fragments can be recognized according to their different spectral signature. In particular, by selecting a specific wavelength ratio the two classes of materials can be rapidly recognized, suggesting the possibility of developing an integrated hardware and software sorting system for ‘on-line’ ceramic glass separation.

Key Words: Glass recycling • ceramic glass • Fourier transform-infrared spectroscopy • sorting • quality control • wmr 827-1

References

  • Bonifazi, G. (2000) Imaging based sorting logic in solid waste recycling . In: (Zandi, I., Mersky, R. & Shieh W. Eds) Proceedings of the 16th International Conference on Solid Waste Technology and Management, Philadelphia, PA, USA, 10-13 December 2000, Vol. 6, pp. 14-26 , De Jong & Dalmijn: EMPA Switzerland.
  • Bonifazi, G., D’Aniello, L., & Serranti, S. (2004) Digital imaging based spectrometry applied to ceramic glass inspection. In: Machine vision applications in Industrial Inspection XII , edited by Jeffery R. Price & Fabrice Méciaudeau, Proceedings of IS&T/SPIE Electronic Imaging: Santa Clara Convention Center, California, USA, 18-22 January, Vol. 5303, pp. 150-160 .
  • Bonifazi, G. & Serranti, S. (2006) Imaging spectroscopy based strategies for ceramic glass contaminants removal in glass recycling . Waste Management, in press.
  • Hof, M. (2003) Basics of optical spectroscopy. In: Gauglitz, G. & Vo-Dinh, T. (eds.): Handbook of Spectroscopy, Vol. 1, pp. 39-47. WILEY-VCH GmbH & KGaA, Weinheim, Germany .
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This Article
Right arrow Abstract Freely available
Right arrow Free Full Text (Free PDF) Free
Right arrow Alert me when this article is cited
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Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in ISI Web of Science
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Add to Saved Citations
Right arrow Download to citation manager
Right arrowRequest Permissions
Right arrow Request Reprints
Right arrow Add to My Marked Citations
Citing Articles
Right arrow Citing Articles via ISI Web of Science (1)
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Serranti, S.
Right arrow Articles by Pohl, R.
Right arrow Search for Related Content
PubMed
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Right arrow Articles by Serranti, S.
Right arrow Articles by Pohl, R.
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