The invention relates to a medical
high polymer material 3D intelligent printing method based on a
selective laser sintering process. The method comprises the following steps that optimal initial process parameters are recommended based on material characteristics and part requirements; carrying out
processing according to the optimal initial process parameters, and monitoring a
processing material in real time through a sensor; if
machining defects are monitored, an AI model is adopted to calculate and adjust technological parameters, and meanwhile, local repair is carried out on the detected defects; after printing of each layer is completed, the technological parameter
database is updated, and technological parameters of subsequent
layers are optimized until the
machining process is finished; in the printing process, once defects are monitored, the AI model can quickly calculate and adjust process parameters, manual intervention is not needed, and the time for finding and solving problems is greatly shortened; meanwhile, the
reinforcement learning algorithm can continuously learn and optimize a process parameter adjustment strategy, so that adjustment is more accurate and efficient, and repeated printing and
repair time caused by unreasonable parameters are reduced.