Thermal transformation of printed circuit boards at 500 °C for synthesis of a copper-based product

Ulman, Khushalini Nitin; Maroufi, Samane; Bhattacharyya, Saroj; Sahajwalla, Veena

doi:10.1016/j.jclepro.2018.07.140

Cited by 22 publications

(1 citation statement)

References 29 publications

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“…The XRD analysis of the concentrate product showed majorly metallic Cu, Sn, and Pb phases. The concentrate fraction can be further used for making Cu-Sn-Pb alloy through the smelter process [47,48]. The amorphous and crystalline phases observed in tailings and concentrate fraction, respectively, signifies the effective separation of non-metallic and metallic fractions.…”

Section: Xrd and Ftir Spectra Analysismentioning

confidence: 99%

Processing of Discarded Printed Circuit Board Fines via Flotation

Barnwal

Mir

Dhawan

2020

J. Sustain. Metall.

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The recovery of metals from discarded printed circuit boards using environmentally-friendly physical routes is gaining importance. Physical separation of metal values from non-metallic constituents exploits various characteristics of crushed powder such as density, liberation, shape, size, and wettability. However, the generation of fines during grinding/crushing of the printed circuit boards is an unavoidable but essential by-product. The fine fractions are discarded due to the higher amounts of non-metallic fraction and poor separation of metallic values. In this study, the flotation process was studied to separate metallic and non-metallic values without the addition of external additives from the fine fraction of printed circuit boards (< 212 µm). The natural hydrophobic response of plastic and organic matter in fines stabilized the froth without additional reagents. The difference in tapped density for tailing (~ 0.5 g/cm 3 ) and concentrate (~ 2.7 g/cm 3 ) fraction ensures good separation. The metallic fraction increases from 14.3% in the feed to 91.7% in the concentrate. Recovery for metallic values was observed as ~ 72.3% with a purity of ~ 92% and comprised 77.9% Cu, 8.3% Sn, and 5.5% Pb.The contributing editor for this article was Veena Sahajwalla.

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Section: Xrd and Ftir Spectra Analysismentioning

confidence: 99%