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Featured researches published by Kuo Liu.


Simulation | 2018

Rapid design of a screw drive in-pipe robot based on parameterized simulation technology:

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

Plane residual stress measurement using ultrasonic considering weak anisotropy of metallic material

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

Physically based modeling method for comprehensive thermally induced errors of CNC machining centers

Kuo Liu; Tiejun Li; Yongqing Wang; Mingjia Sun; Yuliang Wu; Tiejun Zhu


Journal of Manufacturing Science and Engineering-transactions of The Asme | 2017

Prediction of comprehensive thermal error of a preloaded ball screw on a gantry milling machine

Kuo Liu; Haibo Liu; Te Li; Yongqing Wang; Mingjia Sun; Yuliang Wu


International Journal of Machine Tools & Manufacture | 2019

Pretightening sequence planning of anchor bolts based on structure uniform deformation for large CNC machine tools

Haibo Liu; Jiakun Wu; Kuo Liu; Kang Kuang; Qi Luo; Zhisong Liu; Yongqing Wang


Volume 3: Manufacturing Equipment and Systems | 2018

A Novel Magnetic Source Design for Flexible Fixturing Based on Magnetorheological Fluid

Yongqing Wang; Qi Luo; Haibo Liu; Kuo Liu; Jiakun Wu


The International Journal of Advanced Manufacturing Technology | 2018

Geometric accuracy long-term continuous monitoring using strain gauges for CNC machine tools

Yong Qing Wang; J. Wu; H-B Liu; Kaixuan Kang; Kuo Liu


The International Journal of Advanced Manufacturing Technology | 2018

Thermal behavior analysis of horizontal CNC lathe spindle and compensation for radial thermal drift error

Kuo Liu; Te Li; Tiejun Li; Yu Liu; Yongqing Wang; Zhenyuan Jia


The International Journal of Advanced Manufacturing Technology | 2018

New deformation prediction of micro thin-walled structures by iterative FEM

Pengfei Li; Yu Liu; Yadong Gong; Liang-liang Li; Kuo Liu; Yao Sun


The International Journal of Advanced Manufacturing Technology | 2018

Virtual grid and BPNN based collision avoidance control of automatic fixture system

Te Li; Yongqing Wang; Kuo Liu; Haibo Liu; Jiali Zhang; Xianjun Sheng; Dongming Guo

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Yongqing Wang

Dalian University of Technology

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Haibo Liu

Dalian University of Technology

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Te Li

Dalian University of Technology

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Jiali Zhang

Dalian University of Technology

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Yu Liu

Northeastern University

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Dongming Guo

Dalian University of Technology

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Jiakun Wu

Dalian University of Technology

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Qi Luo

Dalian University of Technology

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Tiejun Li

Northeastern University

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Xiang Zhang

Dalian University of Technology

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