Junxing Xie

Title: Innovations by Junxing Xie in Defect Prediction

Introduction

Junxing Xie is an accomplished inventor based in Guangzhou, China. He has made significant contributions to the field of additive manufacturing through his innovative approaches to defect prediction. His work focuses on enhancing the quality and reliability of manufacturing processes.

Latest Patents

Junxing Xie holds a patent for a "Defect prediction method based on multi-feature parallel multi-stage neural network (MF-PMSNN)." This method involves obtaining a trajectory dataset and preprocessing data related to defects in workpieces during additive manufacturing. The MF-PMSNN is designed to evaluate output classification results based on specific evaluation indicators. It enables real-time defect prediction and allows for the deployment of a trained MF-PMSNN model in a production environment. The innovation effectively combines thermal imaging-based in-situ monitoring data with X-ray computed tomography (XCT)-based in-situ monitoring data, ensuring temporal and spatial consistency. This comprehensive approach captures the molten pool status and porosity of workpieces, significantly improving defect prediction capabilities.

Career Highlights

Junxing Xie is affiliated with the Guangdong University of Technology, where he continues to advance research in the field of additive manufacturing. His work has garnered attention for its practical applications and innovative methodologies.

Collaborations

He collaborates with notable colleagues, including Jiewu Leng and Keyou Zheng, who contribute to his research endeavors and enhance the impact of his work.

Conclusion

Junxing Xie's innovative contributions to defect prediction in additive manufacturing demonstrate his commitment to improving manufacturing processes. His work not only advances technology but also sets a foundation for future research in the field.