Changhong Chen

Inner Mongolia University of Science and Technology

Papers

Total Citations

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About

Changhong Chen is a researcher whose work centers on advanced non-destructive evaluation and automated inspection systems, with a particular focus on ultrasonic phased array technologies for complex industrial components. Their major contribution lies in developing a point cloud-based feature recognition and path planning method, which addresses the critical challenge of in situ automatic inspection of irregular porous castings. This innovative approach overcomes constraints such as limited inspection stations, complex geometries, and extreme multireflection structural features, enabling precise defect detection in challenging environments. While their most cited paper has garnered 3 citations, reflecting an emerging impact, the work is notable for its practical relevance to manufacturing quality control and structural health monitoring. Chen’s research bridges computational geometry, robotics, and non-destructive testing, offering a pathway toward fully automated inspection of intricate castings. This contribution is particularly valuable for industries requiring high-reliability components, such as aerospace and automotive sectors, where traditional inspection methods fall short. As the field advances, Chen’s methodology promises to enhance both inspection accuracy and operational efficiency in real-world applications.