关于机械手编程的一个小问题
先说问题:有一个固定好位置的工装盘,上面放100个零件,零件已做好定位,摆放为10X10,间距10;用机械手抓取零件,每次抓取1个,放到一个固定的位置进行加工,一直循环,后续动作不考虑。
零件各定位处的间隙为0.1。
是不是很简单,工作中也经常会遇到这样的设备?
问题来了,现在公司的调试机械手的人说,这样实现不了,因为示教的时候,阵列的精度无法保证,阵列的坐标是人工做的,
无法做到和实际方向一致,肯定会存在偏差,除非把加工处的间隙扩大到0.5以上,否则精度达不到。
最后说,机械手只能做1对多,多对1和多对多都做不了。
我听了后脑子嗡嗡的,敢情机械手都是吹出来的,只能做些粗活,那搞0.02的精度有卵用,码垛焊接也不要精度啊。
我就想问问,是不是像他说的这样?
希望大佬赐教,说一下为什么不行,或者为什么行?
(解决方案或代替方案不用考虑,只说说为什么行&不行)
国产机械手都0.001精度,还自带视觉,超强大脑,还便宜,一月只要2360,。
本帖最后由 shaziizahs 于 2023-3-7 10:39 编辑
这是机械手调试的水平有问题吧,这样的应用早就很成熟了啊,这精度是不带视觉盲抓? shaziizahs 发表于 2023-3-7 10:37
这是机械手调试的水平有问题吧,这样的应用早就很成熟了啊,这精度是不带视觉盲抓?
不带视觉的,因为工装盘已经把零件的位置固定好了,工装盘的位置也是有定位销固定的,
就是说抓取零件的位置,还有放下零件的位置,都是固定不变的。
就是说从100个固定的位置抓取零件,放到1个固定的位置。
调试的人就说这样做不到,说是示教阵列的时候坐标精度保证不了。
用三个电缸搭个XYZ的行架,设定好第一个位置,再设置横向纵向数据,再设置之间间隙,空走一圈看看位置没问题就OK啦。
13821546798 发表于 2023-3-7 11:57
用三个电缸搭个XYZ的行架,设定好第一个位置,再设置横向纵向数据,再设置之间间隙,空走一圈看看位置没问 ...
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
尹志春 发表于 2023-3-7 10:08
国产机械手都0.001精度,还自带视觉,超强大脑,还便宜,一月只要2360,。
你是认真的嘛?咋听起来这么水呢{:3_46:}
可以完成,调机的水平不行。 自由人h 发表于 2023-3-10 11:18
可以完成,调机的水平不行。
能简单说说怎么实现吗?
就是针对于编程的人说的,怎么反驳,指出他哪里错了,应该如何做就能实现这个功能?
lgc9900 发表于 2023-3-7 10:50
不带视觉的,因为工装盘已经把零件的位置固定好了,工装盘的位置也是有定位销固定的,
就是说抓取零件的 ...
这是调试员的技术问题,怎么可能实现不了
页:
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