Next Article in Journal
A Fast Response‚ąíRecovery 3D Graphene Foam Humidity Sensor for User Interaction
Previous Article in Journal
Hybrid Adaptive Cubature Kalman Filter with Unknown Variance of Measurement Noise
Article Menu

Export Article

Open AccessArticle
Sensors 2018, 18(12), 4336;

Crack Assessment of Wheel Hubs via an Ultrasonic Transducer and Industrial Robot

School of Mechanical Engineering, Beijing Institute of Technology, Beijing 100081, China
Author to whom correspondence should be addressed.
Received: 16 November 2018 / Revised: 4 December 2018 / Accepted: 5 December 2018 / Published: 8 December 2018
(This article belongs to the Section State-of-the-Art Sensors Technologies)
Full-Text   |   PDF [3962 KB, uploaded 8 December 2018]   |  


Crack assessment when making fitness-for-service decisions requires a thorough examination of crack location and size in critical areas. An ultrasonic transducer is used for such assessments, but traditional methods cannot cope with complex rotators, such as wheel hubs. We present a model of robot-assisted crack growth assessment in wheel hubs. We integrate a six-degrees-of-freedom (DOF) industrial robot and a turntable to form a robot-assisted ultrasonic testing (UT) system that does not use traditional UT equipment. Ultrasonic beams are focused at certain depths appropriate for achieving maximum sensitivity. We quantitatively analysed wheel hubs with longitudinal and transverse series of pre-cracks, and concluded that our system autonomously detected cracks. View Full-Text
Keywords: robot-assisted; ultrasonic transducer; castings and forgings robot-assisted; ultrasonic transducer; castings and forgings

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

Share & Cite This Article

MDPI and ACS Style

Zhang, H.; Xu, C.; Xiao, D. Crack Assessment of Wheel Hubs via an Ultrasonic Transducer and Industrial Robot. Sensors 2018, 18, 4336.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics



[Return to top]
Sensors EISSN 1424-8220 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top