Robotic Nondestructive Testing Technology

Robotic Nondestructive Testing Technology by Chunguang Xu, published by Taylor & Francis Group in 2022, is a comprehensive exploration of various nondestructive testing (NDT) methods. This 496-page edition delves into the challenges faced by traditional NDT technologies, particularly in the automatic detection of complex curved components. The book introduces innovative ultrasonic testing technology designed to enhance the efficiency and accuracy of NDT, especially for components with variable curvature and thickness.
Readers will find detailed discussions on the integration of robotic techniques with NDT, emphasizing the advantages of using articulated manipulators for improved motion control. The content covers the evolution of NDT from traditional methods to advanced robotic applications, highlighting the interdisciplinary nature of this field. Topics such as automation, artificial intelligence, and engineering principles are woven throughout the text, making it a valuable resource for those interested in the intersection of technology and engineering.
Official synopsis Publisher
The content of this book includes a variety of nondestructive testing (NDT) methods, with many introductions to testing and application cases. The book proposes new ultrasonic testing technology for complex workpieces. It is hard for traditional NDT technology to realize the automatic detection of complex curved components, especially the automatic high-precision nondestructive detection of curved-surface components with variable curvature, variable thickness and complex contour. Therefore, the robotic NDT technique as a combination of manipulator technique and NDT technique can further improve the efficiency and accuracy of NDT. Robotic NDT Technique combines the physical principle of nondestructive testing with the flexible motion control of spatial attitude of articulated manipulator. With NDT as the constraint, it controls the motion attitude and azimuth angle of a transmitting and receiving transducer. Thus traditional NDT technique has developed from plane to curved surface, from 2D to many dimensions and from artificiality to intelligence, into a unique and systematic interdisciplinary robotic NDT technique.
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