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Chinese Journal of Materials Research  2024, Vol. 38 Issue (7): 537-548    DOI: 10.11901/1005.3093.2023.267
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Evaluation of Slip-cleavage Competition Failure Mechanisms for Titanium Alloys Induced by Microstructure in Very-high-cycle Fatigue Regime
YANG Pu1, DENG Hailong1,2(), KANG Heming1, LIU Jie1, KONG Jianhang1, SUN Yufan1, YU Huan1, CHEN Yu1
1.School of Mechanical Engineering, Inner Mongolia University of Technology, Hohhot 010051, China
2.Key Laboratory of Inner Mongolia for Advanced Manufacturing Technology, Inner Mongolia University of Technology, Hohhot 010051, China
Cite this article: 

YANG Pu, DENG Hailong, KANG Heming, LIU Jie, KONG Jianhang, SUN Yufan, YU Huan, CHEN Yu. Evaluation of Slip-cleavage Competition Failure Mechanisms for Titanium Alloys Induced by Microstructure in Very-high-cycle Fatigue Regime. Chinese Journal of Materials Research, 2024, 38(7): 537-548.

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Abstract  

In order to comprehensively evaluate the influence of alloy structure on the competition mechanism of slip-cleavage failures during ultra-high cycle fatigue process of Ti-alloy, a competition failure model considering the maximum stress (σmax) was constructed, and then the competition mechanism among failure modes was quantitatively described. Furthermore, the influence of microstructure (surface defects, α-grain size and α-grain content) on the competition mechanism was revealed in detail by means of the control variable method. Meanwhile, ultra-high cycle fatigue tests of TC4 Ti-alloy under stress ratios of -1, -0.3 and 0.1 were carried out at room temperature. The S-N curves obtained under three stress ratios were bilinear, and TC4 Ti-alloy showed three failure modes, namely surface slip failure, surface cleavage failure and internal cleavage failure. The GP extreme value distribution function is used to clarify the distribution characteristics of the surface defect size, and the predicted extreme size of the surface defect is 5.69 μm, which is defined as the thickness of the sample surface area. Next, the coupling effect of microstructure variables such as control volume, external load, α-grain content and α-grain size, the increase or decrease of σmax value is taken as the main factor of fatigue failure mode transformation of TC4 Ti-alloy and the competitive failure model is constructed. The calculation results show that the model prediction results have a good correlation with the experimental data. Finally, the effect of W value, α-grain size and α-grain content on the slip-cleavage competition failure mechanism of TC4 Ti-alloy was investigated by the control variable method. It is concluded that smaller W value, larger α-grain size and less α-grain content are beneficial to the internal cleavage failure of TC4 Ti-alloy. The value of W does not affect the probability of surface slip failure, and the increase of α-grain size or the decrease of α-grain contentis beneficial to the surface slip failure of TC4 Ti-alloy; The smaller W value, larger α-grain size and less α-grain content is all conducive to internal cleavage failure of TC4 titanium alloy.

Key words:  metallic materials      very-high cycle fatigue      failure mechanism      TC4 titanium alloy      slip-cleavage      competition failure     
Received:  24 May 2023     
ZTFLH:  TG131  
Fund: Natural Science Foundation of Inner Mongolia Autonomous Region(2022MS05014);Natural Science Foundation of Inner Mongolia Autonomous Region(2021LHMS05009);Higher Education Research Program of Inner Mongolia(NJZY21306);Other Program of Inner Mongolia Autonomous Region(20220233);the Scientific Research Program of Inner Mongolia University of Technology(ZY202005)
Corresponding Authors:  DENG Hailong, Tel: 13674834148, E-mail: deng_hl@126.com

URL: 

https://www.cjmr.org/EN/10.11901/1005.3093.2023.267     OR     https://www.cjmr.org/EN/Y2024/V38/I7/537

MaterialCNHFeOAlVTi
TC40.050.030.010.150.135.834.09Bal.
Table 1  Chemical composition of TC4 titanium alloy (mass fraction, %)
Fig.1  Fatigue specimen of TC4 titanium alloy (unit: mm)
Fig.2  Microstructure of TC4 titanium alloy (a) OM mophology; (b) SEM mophology
Fig.3  S-N curves of TC4 titanium alloy under three stress ratios (a) sing stress amplitude as the ordinate; (b) using maximum stress as the ordinate
Fig.4  Typical failure fractures of TC4 titanium alloy (a) macroscopic fracture observation; (b) short crack propagation region; (c) surface defects; (c1) slip characteristic; (d) macroscopic fracture observation; (e) short crack propagation region; (f) surface defects; (f1) facets; (g) macroscopic fracture observation; (h) ICIA; (i) ICIA; (i1) facets
Fig.5  Sketch map of crack characteristics of TC4 titanium alloy (a) feature morphology of S-Sli, (b) feature morphology of S-Sur, (c) feature morphology of Int
Fig.6  Surface failure characteristic size of TC4 titanium alloy (a) relationship between aSD and Nf (b) relationship between as,aICIA and Nf (c) relationship between ac and Nf
Fig.7  Surface failure characteristic size of TC4 titanium alloy (a) relationship between rfacet and Nf (b) relationship between rICIA and Nf (c) relationship between rfisheye and Nf (d) relationship between rc and Nf
ParametersaSD
λ24.59
α20.79
η2-0.72
Table 2  Estimation of parameters at GP distribution function
Fig.8  Cumulative probability distribution function curve of feature size
Fig.9  Schematic diagram of TC4 titanium alloy control volume and area division
Fig.10  Change of failure probability of three failure modes with σmax
Fig.11  Change of failure probability with W for the three failure modes related to σmax (a) surface slip and internal cleavage failure (b) surface slip and surface cleavage failure
Fig.12  Change of failure probability with a grain size for the three failure modes related to σmax (a) surface slip failure (b) surface cleavage failure (c) internal cleavage failure
Fig.13  Change of failure probability with α grain content for the three failure modes related to σmax (a) surface slip failure, (b) surface cleavage failure, (c) internal cleavage failure
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