Mechanisms Governing Fatigue, Damage, and Fracture of Commercially Pure Titanium for Viable Aerospace Applications

Bathini, Udaykar; Srivatsan, T. S.; Patnaik, Anil; Menzemer, Craig C.

doi:10.1061/(asce)as.1943-5525.0000090

Cited by 12 publications

(6 citation statements)

References 17 publications

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“…On the fracture surface an attempt was made to locate the fracture origin and identify crack growth and fracture mode. The identification of the crack origins and their development and union offer valid information regarding the failure mode of the structure [46,47]. The results shown in the following paragraphs were cumbersome to interpret because of fracture surface fretting.…”

Section: Resultsmentioning

confidence: 99%

Failure Analysis of a Humeral Shaft Locking Compression Plate—Surface Investigation and Simulation by Finite Element Method

et al. 2019

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A case study of a failed humeral shaft locking compression plate is presented, starting with a clinical case where failure occurred and an implant replacement was required. This study uses finite element method (FEM) in order to determine the failure modes for the clinical case. Four loading scenarios that simulate daily life activities were considered for determining the stress distribution in a humeral shaft locking compression plate (LCP). Referring to the simulation results, the failure analysis was performed on the explant. Using fracture surface investigation methods, stereomicroscopy and scanning electron microscopy (SEM), a mixed mode failure was determined. An initial fatigue failure occurred followed by a sudden failure of the plate implant as a consequence of patient’s fall. The fracture morphology was mostly masked by galling; the fractured components were in a sliding contact. Using information from simulations, the loading was inferred and correlated with fracture site and surface features.

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Section: Resultsmentioning

confidence: 99%

Failure Analysis of a Humeral Shaft Locking Compression Plate—Surface Investigation and Simulation by Finite Element Method

et al. 2019

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“…It has been observed that the strain hardening response of titanium is strongly influenced by composition, loading direction and sense of applied load. Tensile, compressive and cyclic tests carried out on rolled sheets of CP-Ti exhibit better tensile properties but poor high cycle fatigue life for rolling direction (RD) compared to the transverse direction (TD) sample [6,8]. On the other hand, CP-Ti Grade 1 and Grade 2 sheets showed highest total elongation for 45 degree oriented specimen [9].…”

Section: Introductionmentioning

confidence: 99%

“…Hence, it is necessary to understand the influence of initial texture on anisotropy in deformation micro-mechanism under tensile and cyclic loading conditions. In general, tensile deformation behaviour of CP-Ti has been studied in detail, [1][2][3][4][5] and recently, many investigations focusing on in-plane anisotropy of tensile and fatigue properties of CP-Ti have been carried out [6][7][8][9][10][11]. It has been observed that the strain hardening response of titanium is strongly influenced by composition, loading direction and sense of applied load.…”

Section: Introductionmentioning

confidence: 99%

In-plane anisotropy in deformation micro-mechanism of commercially pure titanium during monotonic tension and cyclic loading

Ghosh

2019

Frattura Ed Integrità Strutturale

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In the present investigation in-plane anisotropy in tensile and ratcheting behavior of cold rolled and annealed commercially pure titanium plate has been studied. Flat tensile and fatigue test specimen oriented at 0, 45, and 90 degree to the rolling direction from the rolling direction-transverse direction (RD-TD) plane of the plate has been machined out. Specimens with loading axis at 0, 45 and 90 degree to RD have been designated as 0T, 45T and 90T for tensile and 0R, 45R and 90R for fatigue. Owing to initial TD split basal texture of as received plate, 0T sample has crystallographic direction 10 10 1120  aligned with loading axis. It shows lowest yield strength but highest ductility in monotonic tension. Although ultimate tensile strength (UTS) and strain to failure of samples 45T and 90T are similar, the former has significantly lower yield strength than the latter, indicating different strainhardening behavior due to different slip/twin activity. On the other hand, 0R sample exhibits longer ratcheting life while 90R sample accumulates highest ratcheting strain. This has been attributed to the formation of intersecting multi-variant twins, which increases fatigue crack propagation resistance during cyclic deformation of 0R sample. Viscoplastic self-consistent (VPSC) simulations of one-cycle tension-compression-reload tension indicate alternating activity of pyramidal slip and extension twinning with loading cycle. The detwinning of extension twin during compression cycle induces cross slip activity, which causes rapid accumulation of strain leading to early fatigue failure of 45R and 90R sample.

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“…Due to its excellent mechanical properties, such as high specific strength and high wear resistance and corrosion resistance, CP-Ti is widely used in aerospace, national defence, chemical and marine fields [1][2][3][4][5]. However, as a typical difficult cutting material, industrially pure titanium cannot be machined well using traditional milling and turning techniques.…”

Section: Introductionmentioning

confidence: 99%

Optimization of lapping process parameters of CP-Ti based on PSO with mutation and BPNN

Wang

Gao

et al. 2021

Preprint

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This work aims to improve the surface quality of commercially pure titanium (CP-Ti) with free alumina lapping fluid and establish the relationship between the main process parameters of lapping and roughness. On this basis, the optimal process parameters were searched by performing particle swarm optimization with mutation. First, free alumina lapping fluid was used to perform an L9(33) orthogonal experiment on CP-Ti to acquire data samples to train the neural network. At the same time, a BP neural network was created to fit the nonlinear functional relation among the lapping pressure P, spindle speed n, slurry flow Q and roughness Ra. Then, the range of the node numbers in the hidden layer of the neural network was determined by empirical formulas and the Kolmogorov theorem. On this basis, particle swarm optimization with mutation was used to search for the optimal process parameter configurations for lapping CP-Ti. The optimal process parameter configurations were used in the neural network to calculate the prediction value. Finally, the accuracy of the prediction was verified experimentally. The optimum process parameter configurations found by particle swarm optimization were as follows: the lapping pressure was 5 kPa, spindle speed was 60 r·min− 1 and slurry flow was 50 ml·min− 1. Then, the configurations were applied to a neural network to simulate prediction: the roughness was 0.1127 µm. The roughness obtained by experiments was 0.1134 µm. The error was 0.62%, which indicates that the well-trained neural network can achieve a good prediction when experimental data are missing. Applying the particle swarm optimization (PSO) algorithm with mutation to a neural network will obtain the optimal process parameter configurations, which can effectively improve the surface quality of CP-Ti lapped with free abrasive.

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Mechanisms Governing Fatigue, Damage, and Fracture of Commercially Pure Titanium for Viable Aerospace Applications

Cited by 12 publications

References 17 publications

Failure Analysis of a Humeral Shaft Locking Compression Plate—Surface Investigation and Simulation by Finite Element Method

Failure Analysis of a Humeral Shaft Locking Compression Plate—Surface Investigation and Simulation by Finite Element Method

In-plane anisotropy in deformation micro-mechanism of commercially pure titanium during monotonic tension and cyclic loading

Optimization of lapping process parameters of CP-Ti based on PSO with mutation and BPNN

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