1. Integrating Electromagnetic Acoustic Transducers in a Modular Robotic Gripper for Inspecting Tubular Components
- Author
-
Ehsan Dehghan-Niri, Nihar Masurkar, Ankit Das, Hamidreza Nemati, Hamid Marvi, Fernando Alvidrez, and Manoj Rudraboina
- Subjects
0209 industrial biotechnology ,business.industry ,Computer science ,Mechanical Engineering ,Acoustics ,010401 analytical chemistry ,02 engineering and technology ,Modular design ,01 natural sciences ,0104 chemical sciences ,020901 industrial engineering & automation ,Transducer ,Mechanics of Materials ,General Materials Science ,business - Abstract
Tubular structures are critical components in infrastructure such as power plants. Throughout their life, they are subjected to extreme conditions or suffer from defects such as corrosion and cracks. Although regular inspection of these components is necessary, such inspection is limited by safety-related risks and limited access for human inspection. Robots can provide a solution for automatic inspection. The main challenge, however, lies in integrating sensors for nondestructive evaluation with robotic platforms. As part of developing a versatile lizard-inspired tube inspector robot, in this study the authors propose to integrate electromagnetic acoustic transducers into a modular robotic gripper for use in automated ultrasonic inspection. In particular, spiral coils with cylindrical magnets are integrated into a novel friction-based gripper to excite Lamb waves in thin cylindrical structures. To evaluate the performance of the integrated sensors, the gripper was attached to a robotic arm manipulator and tested on pipes of different outer diameters. Two sets of tests were carried out on both defect-free pipes and pipes with simulated defects, including surface partial cracking and corrosion. The inspection results indicated that transmitted and received signals could be acquired with an acceptable signal-to-noise ratio in the time domain. Moreover, the simulated defects could be successfully detected using the integrated robotic sensing system.
- Published
- 2021