有关设备制作标定块的问题
在有些设备的调试过程中，一般有用到CCD或者laser时，我们都会做一些标定块去辅助调试设备，例如在使用2D laser扫描高度时，会加工有段差的Gage block，但是不同的设备对应不同的产品，同样的一种Gage block 是否能适应不同的设备？当然有些是可以同样，但通常是一台设备做一种。为了方便调试，是否做的Gage block 要做成仿形的（和产品一样），对扫描位置进行相关性标定、测试？请教各位大神，就标定块该如何做这个问题？请各位大神各抒己见，不同情况具体分析，laser标定块？CCD标定块？或者其他……再就是标定块的标注公差问题，
同问 CCD标定用的带刻度的工件；Laser用的是标准的1mm台阶，测段差即可。 我们最近也在研究这一问题，我们的机床带有在机测量功能，准备把设备改成加工、测量一体机 CCD一般是刻度或者圆，Laser一般高度差，进行校准！ 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这样？
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