Residual stress of belt polishing for the micro-stiffener surface on the titanium alloys

Huang, Yun; Xiao, Guijian; Zhao, Hongqi; Lai, Zhonghong; Zhao, Lin; Liu, Ying; Dai, Wentao

doi:10.1016/j.procir.2018.05.007

Cited by 16 publications

(6 citation statements)

References 15 publications

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“…However, polishing can induce new residual surface stresses as well. Few studies of the residual stresses induced by polishing are found in literature, but it was established that they are usually compressive 59,60 and the level increases with the contact force 60 . The polishing set up developed in the laboratory Institut Clément Ader and used in this study is made of a rotative felt drill gently put in contact with the turning sample, without applying contact force.…”

Section: Analysis and Discussionmentioning

confidence: 99%

Impact of annealing treatment on the fatigue behavior of Inconel 625 produced by laser‐based powder bed fusion

Martin

Hor

Copin

et al. 2022

Fatigue Fract Eng Mat Struct

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Laser‐based powder bed fusion (LPBF) is attractive to build complex parts in spite of the low machinability of Inconel 625. The LPBF microstructures and tensile properties are well documented in literature. But fatigue properties and impact of the LPBF intrinsic defects and microstructures on the crack initiation and propagation mechanisms are uncommon. Low and high‐cycle fatigue tests at room and service temperature presented in this paper prove that the LPBF defects shorten the crack initiation stage. After annealing heat treatment, the microstructure adapts to the defects, and the fatigue response becomes similar to a free defect material. The fatigue life of as‐built Inconel 625 is lower than 50% of its monotonic yield tensile strength (YTS) while the annealed material reaches 100% of its YTS. The propagation rate is slowed by the homogeneous annealed microstructure and improved ductility resulting from removal of dislocation cells and changes in grain morphology.

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Section: Analysis and Discussionmentioning

confidence: 99%

Impact of annealing treatment on the fatigue behavior of Inconel 625 produced by laser‐based powder bed fusion

Martin

Hor

Copin

et al. 2022

Fatigue Fract Eng Mat Struct

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“…The model obtained by the experiments could improve the surface roughness by 25%. Xiao et al [12,13] studied the adaptive belt grinding method for the edge of aeronautical blades, and analyzed the surface roughness after belt grinding. The results showed that after belt grinding, the surface roughness is less than 0.25 μm, and the surface is under compressive stress.…”

Section: Introductionmentioning

confidence: 99%

Residual Stress of a TC17 Titanium Alloy after Belt Grinding and Its Impact on the Fatigue Life

Xiao

et al. 2018

Materials

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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.

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“…Because belt grinding is a “cold state” processing method, it has high economic efficiency and fast processing efficiency and is widely used in various manufacturing fields. Since the grinding process involves multi-edge cutting, the material removal rate is low, and the cutting head is small, so the roughness after grinding is small [ 3 , 4 , 5 , 6 , 7 , 8 ]. Huang et al [ 9 ] analyzed the vibration mechanism from the perspective of dynamics and established a vibration model of impeller belt grinding, which was verified experimentally with different parameters and was found to be effective in reducing the vibration phenomenon during the grinding process with better parameters achieved in the experiments.…”

Section: Introductionmentioning

confidence: 99%

Prediction of Surface Roughness of Abrasive Belt Grinding of Superalloy Material Based on RLSOM-RBF

et al. 2021

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It is difficult to accurately predict the surface roughness of belt grinding with superalloy materials due to the uneven material distribution and complex material processing. In this paper, a radial basis neural network is proposed to predict surface roughness. Firstly, the grinding system of the superalloy belt is introduced. The effects of the material removal process and grinding parameters on the surface roughness in belt grinding were analyzed. Secondly, an RBF neural network is trained by reinforcement learning of a self-organizing mapping method. Finally, the prediction accuracy and simulation results of the proposed method and the traditional prediction method are analyzed using the ten-fold cross method. The results show that the relative error of the improved RLSOM-RBF neural network prediction model is 1.72%, and the R-value of the RLSOM-RBF fitting result is 0.996.

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Residual stress of belt polishing for the micro-stiffener surface on the titanium alloys

Cited by 16 publications

References 15 publications

Impact of annealing treatment on the fatigue behavior of Inconel 625 produced by laser‐based powder bed fusion

Impact of annealing treatment on the fatigue behavior of Inconel 625 produced by laser‐based powder bed fusion

Residual Stress of a TC17 Titanium Alloy after Belt Grinding and Its Impact on the Fatigue Life

Prediction of Surface Roughness of Abrasive Belt Grinding of Superalloy Material Based on RLSOM-RBF

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