| dc.description.abstract | In the era of Industry 5.0, laser processing is a well-known processing method. Most processing tools can use
laser processing by installing a laser head. Depending on the structure of the machine, common ones include
gantry platforms, robotic arms, and even reflective platforms designed for laser processing. This paper uses the HBot mechanism as the research platform. Based on the structure, it has the advantage of average motor load
compared to the aforementioned gantry platform and robotic arm. Compared with the reflective platform, the cost
is also lower.
For the convenience of research, this study uses a C# human-machine interface, preprocesses the twodimensional image before processing, and converts it into machine processing code GCode. The STM32
microcontroller interprets the processing code, controls the motor running steps and speed through I/O, RS485,
and controls the laser output power for processing with PWM.
In terms of experiments, the relationship between different laser powers and the grayscale generated by
burning is found, the relationship curve is found, its characteristics are discussed, and feedback is applied to the
adjustment of power upper and lower limits and power distribution methods. In the image preprocessing part, the
histogram equalization preprocessing method is used to improve the contrast of the finished product and the jitter
preprocessing to enhance the performance of the burning grayscale. The processing path has added a diagonal
path, compared with the rest of the old path effects, to improve the processing accuracy while maintaining the
same processing time as much as possible. Finally, compared with the processing results of previous scholars Luo,
all indicators such as peak signal-to-noise ratio and structural similarity show better contrast, and the similarity to
the original image is higher. | en_US |