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A genetic algorithm approach to optimising component placement and retrieval sequence for chip shooter machines

机译:遗传算法优化芯片射击机零件放置和检索顺序

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摘要

A chip shooter machine in printed circuit board (PCB) assembly has three movable mechanisms: an X-Y table carrying a PCB, a feeder carrier with several feeders holding components and a rotary turret with multiple assembly heads to pick up and place components. In order to get the minimal placement or assembly time for a PCB on the machine, all the components on the board should be placed in a perfect sequence, and the components should be set up on a right feeder, or feeders since two feeders can hold the same type of components, and additionally, the assembly head should retrieve or pick up a component from a right feeder. The entire problem is very complicated, and this paper presents a genetic algorithm approach to tackle it.
机译:印刷电路板(PCB)组件中的切屑射出机具有三个可移动机构:一个载有PCB的X-Y工作台,一个带有多个容纳部件的供料器的供料器托架,以及具有多个用于拾取和放置部件的组装头的旋转转塔。为了使PCB在机器上的放置时间或组装时间最短,板上的所有组件均应按正确的顺序放置,并且这些组件应安装在正确的进纸器或一个进纸器上,因为两个进纸器可以固定相同类型的组件,此外,组装头应从正确的进纸器取回或拾取组件。整个问题非常复杂,本文提出了一种遗传算法来解决该问题。

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