Methodology for Precious Metal Recovery in Computer Printed Circuit
Methodology for Precious Metal Recovery in Computer Printed Circuit作者机构：Engineering and Applied Science Postgraduate School University of A utonomous Morelos State Morelos 62209 Mexico Faculty of Chemical Sciences and Engineering University of 4utonomous Morelos State Morelos 62209 Mexico Engineering and Applied Sciences Research Centre University of A utonomous Morelos State Morelos 62209 Mexico
出 版 物：《Journal of Chemistry and Chemical Engineering》 (化学与化工（英文版）)
年 卷 期：2013年第7卷第8期
页 面：759-766页
学科分类：080903[工学-微电子学与固体电子学] 07[理学] 0809[工学-电子科学与技术（可授工学、理学学位）] 08[工学] 09[农学] 0903[农学-农业资源与环境] 0713[理学-生态学]
主 题：贵金属回收 印刷电路 计算机 固体废物管理 全球可持续发展 工业材料 灵敏度分析 反应动力学
摘 要：The life of electronic equipment is becoming increasingly shorter and its replacement always generates a quantity of waste increase, giving rise to a problem of environmental character and still needed new options of solid waste management that will contribute to global sustainable development. Parts of these waste are TCI (the cards printed circuit) which containing dangerous elements and turns them into a polluting material from the soil, water and air, being harmful to human health if there is to proper and responsible way, so the recycling of TCI to obtain precious metals is an example of industrial materials that can be recycled. Despite this, large quantities of these are not recycled and some others are not considered. The objective of this work is to present a systematic and ecological methodology for the recovery of valuable materials contained in parts of used in computers, circuit boards using a leaching process. The method determines a set of variables to evaluate the kinetics of the reaction and the leaching of metals that form the substrate of metal and to establish the parameters that affect the rate of leaching of metals through a sensitivity analysis, to identify design alternatives. It determines the quantity and percentages that constitutes the motherboard, processor, video cards, accelerator graphics, network and memory cards RAM, among others and its content of metals such as Cu, Fe, Ag, Au and Pt.
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