L
Li Xiao
Researcher at Beijing Institute of Technology
Publications - 46
Citations - 246
Li Xiao is an academic researcher from Beijing Institute of Technology. The author has contributed to research in topics: Residual stress & Ultrasonic sensor. The author has an hindex of 7, co-authored 44 publications receiving 227 citations.
Papers
More filters
Journal ArticleDOI
Characteristic Evaluation on Bolt Stress by Ultrasonic Nondestructive Methods
TL;DR: In this paper, a non-destructive method for measuring axial stress in a tightened bolt was proposed based on the acoustoelasticity theory and ultrasonic velocity and stress.
Patent
Curved-surface steel plate residual stress ultrasonic detection transceiver device
TL;DR: In this article, a curved-surface steel plate residual stress ultrasonic detection transceiver device was proposed, which comprises an organic glass wedge, an ultrasonic transducer, and a magnetic base.
Patent
Ultrasonic non-destructive testing method for residual stress of inner and outer roller paths of roller bearing
TL;DR: In this article, an ultrasonic non-destructive testing method for circumferential and axial residual stresses of inner and outer roller paths of a roller bearing is proposed. But the method is not suitable for the case of a curve component.
Patent
Contact type ultrasonic non-destructive testing straight-line automatic scanning device
TL;DR: In this paper, a contact type ultrasonic non-destructive testing straight-line automatic scanning device was used for automatically detecting a straight line welding line defect and welding residual stress, where a magnetic type base can be used for conveniently adsorbing a detection device on a welding line region to be detected, and detected position information is recorded and fed back by a photoelectric encoder.
Patent
Device for detecting residual stress close to surfaces of metal materials
TL;DR: In this paper, the authors proposed a device for detecting residual stress close to surfaces of metal materials. But, the device is not suitable for tests in more terrible field environments, and therefore, the system is adaptable to test in more difficult field environments.