The invention discloses an X-
ray diffraction pattern automatic analysis and stress calculation
system and method based on
deep learning, and relates to the technical field of advanced
nondestructive testing and material performance analysis, and the
system comprises an
irradiation unit, a sample positioning unit, a
signal acquisition unit, a calculation
control unit and a safety protection unit. The X-
ray is generated and projected to the tested sample through the
irradiation unit, the X-
ray diffraction pattern is captured by the
signal acquisition unit, the
irradiation unit, the sample positioning unit and the
signal acquisition unit operate and are controlled by the industrial control computer, calibration and integration
processing are performed on the captured X-ray
diffraction pattern, standard diffraction data are obtained, and the X-ray diffraction pattern is detected through the standard diffraction data. And inputting the standard diffraction data into a neural
network model, mapping a stress
tensor from the standard diffraction data, and generating and displaying a
stress distribution result of the tested sample. The
system realizes full-process
automation from
data acquisition to stress calculation, greatly improves the detection efficiency and precision, and is suitable for nondestructive stress analysis of workpieces with complex curved surfaces.