I am using a 30W NEJE Laser Engraver Module 450nm 7.5W Output Optical Power Module. It is on the frame of an old XYZ3dprrinter. I am using a Arduino/CNC shield running GRBL 1.1 orgreater.
I am trying to egnrave an image ont a piece of wood. The variations in the wood grain seem to be affecting the quality of the images. As shown below
Here are the image settings
SUPPORT DATA:
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