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7 results on '"DENG Riqing"'

5. Effects of Milling on Surface Integrity and Fatigue Performance of TC4 Titanium Alloy by SLM.

Author

JI Wenbin, DENG Riqing, DAI Shijie, and LIU Chuncheng

Subjects
TITANIUM alloys, ALLOY fatigue, FATIGUE cracks, FATIGUE life, DUCTILE fractures, MILLING (Metalwork), SURFACE cracks
Abstract

Aiming at the problems of poor surface quality and low fatigue performance of TC4 titanium alloys by SLM, the influences of the milling processes on the surface integrity and fatigue performance of the additive parts were studied by three-point bending fatigue tests of additive parts before and after milling. The results show that after milling, the surface roughness Ra of the additive parts is reduced from 12.57 µm to 0.32 µm, the surface hardness is increased from 353.0HV to 434.3HV, fatigue life of additive parts is increased from 48 272 cycles to 155 463 cycles. After milling, the location of fatigue source of additive parts is transferred from the surface and subsurface to the interior of the specimen, and the fatigue fracture mode is changed from quasi-dissolution fracture to ductile fracture. The surface integrity of the milled specimens is greatly improved, the fatigue crack emergence and expansion of surface fatigue cracks are suppressed, and the fatigue performance is significantly improved after milling of the additive parts. [ABSTRACT FROM AUTHOR]

Published
2023
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6. Research on Constant Force Polishing Control of Aero-engine Blade Based on Expanded State Observer

Author

Zhao Yufeng, Li Pengwei, Lei Yan, Shijie Dai, Deng Riqing, Jiaheng Mu, Hu Tianrong, and Zhang Wenhua

Subjects
Blade (geometry), Computer science, Polishing, Mechanical engineering, State observer, Aero engine, Constant force
Abstract

This paper presents a parallel control method based on the expanded state observer (ESO) for aero-engine blade robot polishing. Aiming to reduce the fluctuation of polishing force caused by environmental noise and modeling errors. First, calibrate six-dimensional force sensor according to the maximum acceleration of the end effector during the polishing process. Then, build the gravity compensation and zero drift compensation model. Besides, use this model to compensate measurement error of the six-dimensional force sensor. Finally, calculate the error between the expected polishing force and the actual feedback value and its derivative value. Use calculation results to design the control boundary layer. The polishing force controller is divided into two parallel control loops to design. When the switching value is in the control boundary layer. A nonlinear active disturbance rejection control (ADRC) loop is used. When the switching value is outside the control boundary layer. An ESO-based sliding mode control (SMC) loop is used. Simulation and experimental results show that the proposed parallel control method based on ESO has a fast response and high robustness compared with FuzzyPID, PID, and ADRC. It can effectively suppress the force fluctuation in the polishing process and significantly improve the surface processing quality of the aero-engine blade.

Published
2021

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