Titanium alloy corrosion fatigue crack growth rates prediction: Peridynamics based numerical approach

Karpenko, Olena; Oterkus, Selda; Öterkuş, Erkan

doi:10.1016/j.ijfatigue.2022.107023

Cited by 19 publications

(6 citation statements)

References 43 publications

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“…Unlike pure monotonic loading, it simulates a much more practical circumstance, cyclic loading must be used to assess the fatigue behaviour of materials used for dental implants [89,105]. Additionally, the environment in which implants are placed might affect their ability to withstand fatigue by hastening the onset of surface imperfection and its growth to a critical size, which causes the implants to fracture [106][107][108]. Despite this, there are not many research that examine how Ti alloys perform in human-like media in this situation.…”

Section: Fatigue Behaviorsmentioning

confidence: 99%

A review—metastable β titanium alloy for biomedical applications

Pesode

2023

J. Eng. Appl. Sci.

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Titanium and its alloys have already been widely used as implant materials due to their outstanding mechanical characteristics and biocompatibility. Notwithstanding this, researchers and businesses alike have continued to actively pursue superior alloys since there are still problems which need urgent consideration. One of these is a noteworthy difference in the implant material’s elastics modulus and that of natural bone, which result into an issue of stress shielding. With prolonged use Ti alloys releases dangerous ions. The Ti alloy surface has a low bioactivity, which prolongs the healing process. β-Ti alloys could be used as viable alternatives when creating dental implants. Additionally, β-Ti alloys characteristics, such as low Young modulus, increased strength, appropriate biocompatibility, and strong abrasion and corrosion resistance, serve as the necessary evidence. Ti alloys when altered structurally, chemically, and by thermomechanical treatment thereby enabling the creation of material which can match the requirements of a various clinical practise scenarios. Additional research is needed which can focused on identifying next century Ti alloys consisting of some more compatible phase and transforming the Ti alloys surface from intrinsically bioinert to bioactive to prevent different issues. In order to give scientific support for adopting β-Ti-based alloys as an alternative to cpTi, this paper evaluates the information currently available on the chemical, mechanical, biological, and electrochemical properties of key β-titanium alloys designed from the past few years. This article is also focusing on β-titanium alloy, its properties and performance over other type of titanium alloy such as α titanium alloys. However, in-vivo research is needed to evaluate novel β titanium alloys to support their use as cpTi alternatives.

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Section: Fatigue Behaviorsmentioning

confidence: 99%

A review—metastable β titanium alloy for biomedical applications

Pesode

2023

J. Eng. Appl. Sci.

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“…All engineering structures are prone to geometrical discontinuities. The size and shapes of such features are crucial as they pose serious concerns about the strength of the component [26]. Structures exposed to cyclic loading fail far below their strength due to fatigue.…”

Section: Fracture Mechanicsmentioning

confidence: 99%

“…This is the function which needs to be minimized during training of the ANN by updating the weights and biases. Various types of cost functions are presented in Equations ( 23)- (26).…”

Section: Cost Functionmentioning

confidence: 99%

Training Deep Neural Networks with Novel Metaheuristic Algorithms for Fatigue Crack Growth Prediction in Aluminum Aircraft Alloys

et al. 2022

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Fatigue cracks are a major defect in metal alloys, and specifically, their study poses defect evaluation challenges in aluminum aircraft alloys. Existing inline inspection tools exhibit measurement uncertainties. The physical-based methods for crack growth prediction utilize stress analysis models and the crack growth model governed by Paris’ law. These models, when utilized for long-term crack growth prediction, yield sub-optimum solutions and pose several technical limitations to the prediction problems. The metaheuristic optimization algorithms in this study have been conducted in accordance with neural networks to accurately forecast the crack growth rates in aluminum alloys. Through experimental data, the performance of the hybrid metaheuristic optimization–neural networks has been tested. A dynamic Levy flight function has been incorporated with a chimp optimization algorithm to accurately train the deep neural network. The performance of the proposed predictive model has been tested using 7055 T7511 and 6013 T651 alloys against four competing techniques. Results show the proposed predictive model achieves lower correlation error, least relative error, mean absolute error, and root mean square error values while shortening the run time by 11.28%. It is evident through experimental study and statistical analysis that the crack length and growth rates are predicted with high fidelity and very high resolution.

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“…Model ini mampu mengungkapkan terjadinya korosi lokal, terkait dengan heterogenitas mikrostruktur dari AA2024, termasuk pada perubahan pH lokal, pengendapan produk reaksi dan menekankan peran penting AA2024 dalam korosi galvanik. Karpenko O., et al, (2022) mempelajari pendekatan numerik untuk memodelkan Corrosion Fatigue Crack Growth (CFCG) dalam pengecoran konvensional dan paduan Ti6Al4V yang diproduksi secara aditif. Model numerik tersebut berdasar pada Peridinamika (PD) yang menggabungkan mekanik dan difusi material sebagai dampak kelelahan terhadap lingkungan.…”

Section: Pendahuluanunclassified

“…Jenis kerusakan ini dapat terjadi secara internal seperti pada bagian permukaan, contohnya kayu yang membusuk, di mana kerusakan ini dapat mengubah permukaan yang halus, melemahkan bagian dalam, atau merusak atau melonggarkan bagian-bagian yang berdekatan. Karpenko O., et al, (2022) Tabel 1. terlihat bahwa data berat yang hilang (∆𝑊) (mg) komponen logam pada bagian fuselage pesawat MD-80 dengan variasi suhu selama rentang waktu 12 jam diperoleh nilai rata-rata berat yang hilang (∆𝑊) sebesar 2,2000 mg pada suhu 35℃; 2,9000 mg pada suhu 40℃; 2,8000 mg pada suhu 45℃; dan 1,7000 mg pada suhu 50℃. Nilai rata-rata berat yang hilang (∆𝑊) (mg) komponen logam pada bagian fuselage pesawat MD-80 tersebut menunjukkan adanya proses korosi yang sedang berjalan.…”

Section: Korosiunclassified

Pengaruh Suhu Terhadap Laju Korosi Komponen Logam Pada Bagian Fuselage Pesawat Md-80

Utami

Rochmadi

2022

teknika

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Pesawat merupakan moda transportasi efektif dan efisien bagi Indonesia sebagai Negara Kepulauan. Keselamatan penerbangan berupa kelayakan pesawat menjadi salah satu faktor utama. Komponen logam pada bagian fuselage menjadi perhatian utama karena berhubungan langsung dengan lingkungan. Faktor lingkungan, seperti suhu dapat mempengaruhi laju korosi komponen logam yang pada akhirnya dapat mempengaruhi kelayakan pesawat. Variasi suhu terbagi menjadi 4, yaitu , , , dan dengan kondisi lingkungan pH tetap, yaitu 3,4 dalam rentang waktu 12 jam. Kehilangan berat komponen logam terhadap suhu lingkungan menjadi perhatian. Laju korosi komponen logam pada bagian fuselage pesawat MD-80 terhadap variasi suhu dalam rentang waktu 12 jam menunjukkan nilai laju korosi yang tidak signifikan. Hal ini mungkin disebabkan karena dalam rentang waktu tersebut proses korosi masih berjalan, namun namun tidak menutup kemungkinan sudah terjadi korosi.

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Titanium alloy corrosion fatigue crack growth rates prediction: Peridynamics based numerical approach

Cited by 19 publications

References 43 publications

A review—metastable β titanium alloy for biomedical applications

A review—metastable β titanium alloy for biomedical applications

Training Deep Neural Networks with Novel Metaheuristic Algorithms for Fatigue Crack Growth Prediction in Aluminum Aircraft Alloys

Pengaruh Suhu Terhadap Laju Korosi Komponen Logam Pada Bagian Fuselage Pesawat Md-80

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