Research on process path optimization of defective products in 3D printing based on digital technology

This study proposes a process path optimization method for defective products in 3D printing based on digital technology. This method combines the topology optimization algorithm to accurately analyze the geometric model of the defective product, optimize the printing path, and minimize the defects in the molding process. First, the product is modeled using digital technology, and the defect position is detected and repaired through sensor data and real-time feedback system. Then, the topology optimization algorithm is used to optimize the printing path of the defective area, considering the characteristics of the printing material and the motion restrictions of the printer, to achieve intelligent adjustment of the process path. The model simulation verifies that the optimized process path can significantly improve the accuracy of 3D printed products and reduce the defect rate. The simulation results show that the optimized path can effectively reduce material waste in the printing process, shorten production time, and improve the mechanical properties of the product. Specific data analysis shows that the strength of the optimized printed product has increased by 15% and the material utilization rate has increased by 10%.