Prediction and experimental research of abrasive belt grinding residual stress for titanium alloy based on analytical method

Author(s):  
Guijian Xiao ◽  
Kangkang Song ◽  
Yi He ◽  
Wenxi Wang ◽  
Youdong Zhang ◽  
...  
2013 ◽  
Vol 716 ◽  
pp. 185-190
Author(s):  
He Ping Wei ◽  
Yun Huang ◽  
Zhao Yang Liu

This paper aimed at that titanium alloy grinding is easy to appear surface burn, crack, then carry out the titanium alloy TC4 abrasive belt grinding experiment, focus on the effect of grinding parameters on the titanium alloy TC4 surface integrity (surface roughness, microstructure and surface residual stress) . The results of the study show that the use of zircon corundum belt and cutting speed velocity range from 18 to 26 meter per second, the surface integrity of titanium alloy TC4 is better.


Materials ◽  
2018 ◽  
Vol 11 (11) ◽  
pp. 2218 ◽  
Author(s):  
Yi He ◽  
Guijian Xiao ◽  
Wei Li ◽  
Yun Huang

Titanium alloy materials are widely used in the design of key parts, such as aeroengine blades and integral blades. The surface residual stress has a great influence on the fatigue life of the parts mentioned above. Presently, abrasive belt grinding can form residual stress on the surface. However, the formation mechanism has not yet been revealed, providing the impetus for the present study. First of all, the surface residual stress is characterized based on Bragg’s law. The influence of contact force, reciprocating frequency, and feed speed on the residual stress of a titanium alloy abrasive belt grinding is obtained using an experimental method. The residual stress model is simulated by the tensile force on the surface of the model, and the fatigue life of the bar under a sinusoidal tensile load is analyzed by simulating the fatigue test of the titanium alloy bar. Finally, fatigue testing and fracture analysis are carried out. The experimental results show that with the increase of the grinding contact force, increase of the reciprocating frequency, and decrease of the feed speed, the residual compressive stress on the surface of the parts increases and the fatigue life is higher at the same working stress level. It also shows that the residual compressive stress produced by abrasive belt grinding is in the range of 120–300 MPa. The fatigue simulation curve’s inflection point appears at the level of 550 MPa. The error between the simulation data and the experimental data is less than 10%, which shows the accuracy of the simulation experiment. The fracture morphology at room temperature is a ductile fracture with fine equiaxed dimples.


2021 ◽  
Author(s):  
Guijian Xiao ◽  
Kangkang Song ◽  
Shulin Chen ◽  
Rentao Wen ◽  
Xiao Zou

Procedia CIRP ◽  
2020 ◽  
Vol 87 ◽  
pp. 480-484
Author(s):  
Huang Yun ◽  
Liu Shuai ◽  
Xiao Guijian ◽  
He Yi ◽  
Wang Wenxi ◽  
...  

2012 ◽  
Vol 565 ◽  
pp. 64-69 ◽  
Author(s):  
Hua Chai ◽  
Yun Huang ◽  
Yun Zhao ◽  
Xin Dong Zhang

In abrasive belt grinding Titanium alloy blade of aviation engine experiment, through the single factor experiment method, the influence of abrasive belt linear speed and work-piece feeding speed on the grinding quantity is discussed. The relationship between the clogging degree of abrasive belt and grinding time is analyzed. Then the influence of abrasive belt linear speed and work-piece feeding speed on the clogging degree of belt is discussed. The results indicate that when grinding time is 3 ~ 30 min or so, the clogging degree of belt does not change significantly. Therefore the grinding process is relatively stable.


2013 ◽  
Vol 716 ◽  
pp. 443-448 ◽  
Author(s):  
Rong Kai Cheng ◽  
Yun Huang ◽  
Yao Huang

Titanium alloys have been applied to aerospacemedical and other fields. The surface roughness of titanium alloy about these areas is very high. Based on the results of orthogonal test, belt grinding surface roughness prediction model of TC4 Titanium alloy is established using linear regression method. The significant tests of regression equation are conducted and proved that the prediction model has a significant. The results indicate that the model has reliability on the prediction of surface roughness, abrasive belt grinding pressure has certain influence on the surface roughness, and grain size of belt and the belt linear speed have high significant influence on surface roughness and the influence coefficient are-0.9378 and-0.2317. While the contact wheel hardness and workpiece axial feeding speed have no significant influence on surface roughness.


Author(s):  
Guijian Xiao ◽  
Kangkang Song ◽  
Huawei Zhou ◽  
Yi He ◽  
Wentao Dai

The titanium alloy blade is a key part of an aero-engine, but its high surface efficiency and precision machining present technical problems. Belt grinding can effectively prolong the fatigue life of the blade and enhance the service performance of the aero-engine. However, the residual stress of the workpiece after belt grinding directly affects its service performance and life. The traditional single particle abrasive model simulation is limited in exploring the influence of grinding process parameters on surface residual stress. In this study, an ABAQUS simulation model of multi-particle belt grinding is established for titanium alloy material, a finite element (FE) simulation is conducted with different technological parameters, and the results are analysed. The critical belt grinding experiment is conducted on thin-walled titanium alloy parts, and the distribution characteristics of surface residual stress after grinding are studied to understand the influence of grinding parameters on the formation of surface residual stress. Comparing the results of the FE simulation and the grinding experiment, the common law of stress change and the prediction model are obtained. The results show that the multi-particle belt grinding simulation is consistent with the belt grinding experiment in terms of the influence of grinding parameters on residual stress. The simulation can serve as a guide in actual belt grinding to some extent. Directions for improving the multi-particle abrasive simulation model are discussed.


2021 ◽  
Vol 113 (11-12) ◽  
pp. 3241-3260
Author(s):  
Kangkang Song ◽  
Guijian Xiao ◽  
Shulin Chen ◽  
Shaochuan Li

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