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Intelligent Disassembly of components from printed circuit boards to enable re-use and more efficient recovery of critical metals

机译：智能地从印刷电路板上拆卸组件，以实现重用和更有效地回收关键金属

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Abstract: Based on previous experiences in intelligent disassembly of components from printed circuit boards our goal was to develop an economic solution for reducing the amount of material for the later hydrometallurgical recovery process and to recognize reusable parts on printed circuit boards. Usually the hydrometallurgical recovery process is very time consuming and therefore the recovery rate still relatively low. Therefore it is beneficial to enrich the content of critical metals in the input fraction by extracting only those components from printed circuit boards that are rich in the target metals (e.g. tantalum, rare earth, platinum group metals). In addition there are reusable parts on printed circuit boards which have a high enough resell value on the market. These components have to be dismantled, but in a more careful way in order not to destroy the function of the component by thermal or mechanical influences. One advanced possibility for solving both problems is the adaptation of our semi-automated, flexible disassembly cell for printed circuit boards. This modular cell was developed some years ago for removing re-useable electronic components from old as well as new printed circuit boards. Main modules are a transportation system, a vision system and heating-unsoldering stations. In this contribution this new approach will be described from the technological as well as from the economic point of view and is an excellent example for "Cost Oriented Automation - COA" for TECIS.
机译：摘要：基于以前在印刷电路板上智能拆卸组件的经验，我们的目标是开发一种经济的解决方案，以减少用于后续湿法冶金回收过程的材料量，并识别印刷电路板上的可重复使用零件。通常，湿法冶金回收过程非常耗时，因此回收率仍然相对较低。因此，通过仅从印刷电路板上提取富含目标金属（例如钽，稀土，铂族金属）的那些成分来丰富输入部分中的关键金属的含量是有益的。另外，印刷电路板上还有一些可重复使用的零件，它们在市场上的转售价值很高。必须拆除这些组件，但必须以更谨慎的方式拆除，以免受到热或机械影响而破坏组件的功能。解决这两个问题的一种高级可能性是将我们的半自动，灵活的拆卸单元用于印刷电路板。这种模块化单元是几年前开发的，用于从旧的和新的印刷电路板上移除可重复使用的电子组件。主要模块是运输系统，视觉系统和加热解焊站。在这项贡献中，将从技术和经济角度描述这种新方法，并且是TECIS“面向成本的自动化-COA”的一个很好的例子。

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