Session

Mechatronics, System Engineering and Robotics

Description

Optical based characterization techniques and related analytical methodologies, originally utilized in the mineral sector, can be profitably applied to solid waste streams products as resulting from different recycling processes. This approach, when supported by digital tools allows to perform a full characterization of compositional and textural attributes of the different particulate solids constituting the waste flow streams. To reach this goal specific physical-chemical attributes must be collected, analyzed and processed in order to define, according to market requirements, specific classes of quality to assume as reference to define optimal processing strategies. Computer-assisted optical characterization, coupled with hyperspectral sensing devices and embedding recognition/classification logics, can contribute to reach these goals, dramatically reducing analytical time and costs. In this work an example of this “transfer approach”, from minerals to waste, is presented, analyzed and discussed, with reference to a porphyry copper ore sample and a WEEE product.

Keywords:

Computer assisted microscopy, Scanning Electron Microscopy (SEM), X-Ray Fluorescence (XRF) analysis, Near Infrared (NIR) HyperSpectral Imaging (HSI) Spectroscopy, porphyry copper, WEEE.

Session Chair

Peter Kopacek

Session Co-Chair

Fatmir Azemi

Proceedings Editor

Edmond Hajrizi

ISBN

978-9951-437-96-7

First Page

17

Last Page

21

Location

Lipjan, Kosovo

Start Date

31-10-2020 1:00 PM

End Date

31-10-2020 2:30 PM

DOI

10.33107/ubt-ic.2020.428

Download

Included in

Engineering Commons

Share

COinS
 
Oct 31st, 1:00 PM Oct 31st, 2:30 PM

Computer-aided optical characterization and sensing applications: from minerals to waste

Lipjan, Kosovo

Optical based characterization techniques and related analytical methodologies, originally utilized in the mineral sector, can be profitably applied to solid waste streams products as resulting from different recycling processes. This approach, when supported by digital tools allows to perform a full characterization of compositional and textural attributes of the different particulate solids constituting the waste flow streams. To reach this goal specific physical-chemical attributes must be collected, analyzed and processed in order to define, according to market requirements, specific classes of quality to assume as reference to define optimal processing strategies. Computer-assisted optical characterization, coupled with hyperspectral sensing devices and embedding recognition/classification logics, can contribute to reach these goals, dramatically reducing analytical time and costs. In this work an example of this “transfer approach”, from minerals to waste, is presented, analyzed and discussed, with reference to a porphyry copper ore sample and a WEEE product.