Kuo Liu
Dalian University of Technology
Network
Latest external collaboration on country level. Dive into details by clicking on the dots.
Publication
Featured researches published by Kuo Liu.
Simulation | 2018
Te Li; Kuo Liu; Haibo Liu; Xuewen Cui; Bin Li; Yongqing Wang
The screw drive in-pipe robot is a type of effective intelligent equipment for inspecting pipeline failure. In-pipe robots have a wide range of design parameters due to varied pipe types and application conditions. Experiential or theoretical design means cannot ensure the validity and success rate, which leads to the increase in production cost and cycle. Therefore, in order to solve the rapid design problem of screw drive in-pipe robots, a parameterized simulation system based on ADAMS secondary development technology and a simple design strategy is proposed. Firstly, the motion principles of screw drive in-pipe robots are analyzed to establish a generalized design model. Then, the key parameters of the geometric structure are extracted and associated, which work as the input variables to design the robotic model. Then the general parameterized simulation system is established based on the CMD language of ADAMS simulation software. Finally, a simple design strategy is proposed and a design application case for pipeline diameter of 225 mm is studied. The results show that the parameterized simulation system can build and test varied screw drive in-pipe robot models quickly by only inputting some design parameters. The proposed design system and strategy can help realize the production of a screw drive in-pipe robot rapidly.
AIP Advances | 2018
Yongqing Wang; Yapeng Li; Haibo Liu; Xiang Zhang; Yankun Liu; Kuo Liu
Ultrasonic velocity variation (UVV) along different directions induced by material weak anisotropy will lead to residual stress measurement error using ultrasonic inevitably. In this research, the influence of weak anisotropy on residual stress measurement is analyzed theoretically and experimentally. Firstly, the in-plane acoustoelastic wave equation is modified by considering material anisotropy, which can be characterized by two in-plane anisotropic parameters. Further, an analysis model is also established to express the linear superposition of weak anisotropy and acoustoelastic effect on UVV. Based on this, a plane residual stress measurement method has been developed, which was verified using the rolling aluminum alloy plate after friction stir welding. From the comparison with hole-drilling method, it was adequate and capable to measure the plane residual stress by the relative UVV along three particular directions.Ultrasonic velocity variation (UVV) along different directions induced by material weak anisotropy will lead to residual stress measurement error using ultrasonic inevitably. In this research, the influence of weak anisotropy on residual stress measurement is analyzed theoretically and experimentally. Firstly, the in-plane acoustoelastic wave equation is modified by considering material anisotropy, which can be characterized by two in-plane anisotropic parameters. Further, an analysis model is also established to express the linear superposition of weak anisotropy and acoustoelastic effect on UVV. Based on this, a plane residual stress measurement method has been developed, which was verified using the rolling aluminum alloy plate after friction stir welding. From the comparison with hole-drilling method, it was adequate and capable to measure the plane residual stress by the relative UVV along three particular directions.
The International Journal of Advanced Manufacturing Technology | 2018
Kuo Liu; Tiejun Li; Yongqing Wang; Mingjia Sun; Yuliang Wu; Tiejun Zhu
Journal of Manufacturing Science and Engineering-transactions of The Asme | 2017
Kuo Liu; Haibo Liu; Te Li; Yongqing Wang; Mingjia Sun; Yuliang Wu
International Journal of Machine Tools & Manufacture | 2019
Haibo Liu; Jiakun Wu; Kuo Liu; Kang Kuang; Qi Luo; Zhisong Liu; Yongqing Wang
Volume 3: Manufacturing Equipment and Systems | 2018
Yongqing Wang; Qi Luo; Haibo Liu; Kuo Liu; Jiakun Wu
The International Journal of Advanced Manufacturing Technology | 2018
Yong Qing Wang; J. Wu; H-B Liu; Kaixuan Kang; Kuo Liu
The International Journal of Advanced Manufacturing Technology | 2018
Kuo Liu; Te Li; Tiejun Li; Yu Liu; Yongqing Wang; Zhenyuan Jia
The International Journal of Advanced Manufacturing Technology | 2018
Pengfei Li; Yu Liu; Yadong Gong; Liang-liang Li; Kuo Liu; Yao Sun
The International Journal of Advanced Manufacturing Technology | 2018
Te Li; Yongqing Wang; Kuo Liu; Haibo Liu; Jiali Zhang; Xianjun Sheng; Dongming Guo