This inventor holds 1 USPTO granted patent and 2 published patent applications. Top assignee: Guangdong University of Technology. Active years: 2026.
Company Filing History:
Years Active: 2026
Title: Keyou Zheng: Innovator in Defect Prediction Technology
Introduction
Keyou Zheng is a prominent 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
Keyou Zheng 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 data, ensuring temporal and spatial consistency. This comprehensive approach captures the molten pool status and porosity distribution, facilitating accurate defect prediction.
Career Highlights
Keyou Zheng is affiliated with the Guangdong University of Technology, where he continues to advance research in his field. His work has garnered attention for its practical applications in improving manufacturing processes.
Collaborations
Keyou Zheng has collaborated with notable colleagues, including Jiewu Leng and Junxing Xie, to further enhance the impact of his research and innovations.
Conclusion
Keyou Zheng's contributions to defect prediction technology represent a significant advancement in additive manufacturing. His innovative methods and collaborative efforts continue to shape the future of manufacturing quality assurance.