Volume 15 No 3 (2017)
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A Telecommunication Printed Circuit Boards: Towards an Automated White Board Cleaner
Hareesh B
Abstract
Waste telecommunications printed circuit boards (STPCBs) provide a global problem that has to be managed and prevented. Recycling has been suggested as a viable solution to this problem. Despite this knowledge, selecting a sustainable approach is difficult due to the intricacy of STPCBs. Metal speciation analysis and other forms of analytical testing on STPCBs helped solve this issue. To develop effective selection algorithms that maximise selective recycling of metals while reducing environmental impact, it is crucial to have a firm grasp of this information. Characterising STPCBs by their structure, morphology, physiochemistry, surface, and thermal characteristics was the main goal of this study. STPCBs have tremendous commercial potential as indicated by their metal content measurements of 187,900 mg kg1 Cu, 22,540 mg kg1 Pb, 1320 mg kg1 Ag, and 205 mg kg1 Au, among other base metals. Structural investigations revealed that the powder is crystalline and made up of various functional groups and Cu, Sn, and Pb phases. The powder particles have a negative surface in an environment with a pH higher than this value, as shown by the zeta potential evaluation, which showed an isoelectric pH of 5.6 for the sample. In addition, a sequential extraction process was used to determine metal speciation, revealing that the stable structure of STPCBs necessitates a novel, severe recycling strategy. This study found that STPCBs are highly contaminated, with a global contamination factor (GCF) value of 83.48. This garbage also underwent leaching tests and met other ecological standards. In order to reduce the concentration of harmful metals, the results show that STPCBs require pretreatments prior to landfilling. The waste extraction test was the most strenuous method used to evaluate mobility. In order to pick recycling processes with little environmental effect and maximum selective recycling of metals, this knowledge is crucial.
Keywords
Automated-white board-cleaner, Design-analyses, Preliminary-fabrication
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