Metal 3D printing component mechanical property prediction method based on SVR and OpenCV

The invention discloses a metal 3D printing component mechanical property prediction method based on SVR and OpenCV. The metal 3D printing component mechanical property prediction method comprises the following steps that S1, a multi-level multi-factor orthogonal test scheme is designed, and a sample is prepared; s2, testing the mechanical properties of each group of samples in the orthogonal test by using an electronic universal testing machine; s3, obtaining a metallographic picture of the middle area of the sample by using an electron microscope; s4, building a prediction model between additive manufacturing process parameters and mechanical properties; s5, optimizing two important parameters in a support vector machine algorithm by using a grey wolf algorithm (GWO); s6, the optimal process parameter combination of the additive manufacturing process is obtained; s7, obtaining the grain size range distribution of each metallographic picture; s8, re-establishing a support vector machine prediction model of h