Low cycle fatigue life prediction of titanium alloy using genetic algorithm-optimized BP artificial neural network

Using machine-learning to understand complex microstructural effects on the mechanical behavior of Ti-6Al-4V alloys

(2022) Cameron McElfresh et al.   COMPUTATIONAL MATERIALS SCIENCE

An Experimental Investigation on the Progressive Failure of an Additively Manufactured Laser Powder Bed Fusion Ti-6Al-4V Aero-engine Bracket under Low Cycle Fatigue

(2022) Alok Gupta et al.   ENGINEERING FAILURE ANALYSIS

Machine learning based very-high-cycle fatigue life prediction of Ti-6Al-4V alloy fabricated by selective laser melting

(2022) Jun Li et al.   INTERNATIONAL JOURNAL OF FATIGUE

On the development of error-trained BP-ANN technique with CDM model for the HCF life prediction of aluminum alloy

(2022) Su Liu et al.   INTERNATIONAL JOURNAL OF FATIGUE

A Microstructure Based Elasto-Plastic Polygonal FEM and CDM Approach to Evaluate LCF Life in Titanium Alloys

(2022) Deepak Sharma et al.   INTERNATIONAL JOURNAL OF MECHANICAL SCIENCES

Fatigue life estimation of additively manufactured Ti-6Al-4V: Sensitivity, scatter and defect description in Damage-tolerant models

(2022) Nicolas Macallister et al.   ACTA MATERIALIA

A hybrid ANN-multiaxial fatigue nonlocal model to estimate fretting fatigue life for aeronautical Al alloys

(2022) Giorgio André Brito Oliveira et al.   INTERNATIONAL JOURNAL OF FATIGUE

Fatigue-life prediction of additively manufactured metals by continuous damage mechanics (CDM)-informed machine learning with sensitive features

(2022) Haijie Wang et al.   INTERNATIONAL JOURNAL OF FATIGUE

Study on Creep-Fatigue Mechanical Behavior and Life Prediction of Ti2AlNb-Based Alloy

(2022) Yanju Wang et al.   Materials

Effect of Internal Defects on the Fatigue Behavior of Additive Manufactured Metal Components: A Comparison between Ti6Al4V and Inconel 718

(2022) Nicola Cersullo et al.   Materials

Fatigue behaviour of diamond based Ti-6Al-4V lattice structures produced by laser powder bed fusion: On the effect of load direction

(2022) Antonio Cutolo et al.   Materials Today Communications

On the influence of physical vapor deposited thin coatings on the low-cycle fatigue behavior of additively processed Ti-6Al-7Nb alloy

(2022) Maxwell Hein et al.   INTERNATIONAL JOURNAL OF FATIGUE

Improving fatigue performance of TiZrN/TiZr-coated Ti-6Al-4V alloy by inducing a stabile compressive residual stress field

(2022) Amin Ma et al.   JOURNAL OF ALLOYS AND COMPOUNDS

A strategy combining machine learning and physical metallurgical principles to predict mechanical properties for hot rolled Ti micro-alloyed steels

(2022) Chunyuan Cui et al.   JOURNAL OF MATERIALS PROCESSING TECHNOLOGY

Data-driven fatigue life prediction in additive manufactured titanium alloy: A damage mechanics based machine learning framework

(2021) Zhixin Zhan et al.   ENGINEERING FRACTURE MECHANICS

Property optimization of TRIP Ti alloys based on artificial neural network

(2021) Jeong Mok Oh et al.   JOURNAL OF ALLOYS AND COMPOUNDS

Fatigue life prediction of metallic materials considering mean stress effects by means of an artificial neural network

(2020) Joelton Fonseca Barbosa et al.   INTERNATIONAL JOURNAL OF FATIGUE

Machine learning based fatigue life prediction with effects of additive manufacturing process parameters for printed SS 316L

(2020) Zhixin Zhan et al.   INTERNATIONAL JOURNAL OF FATIGUE

A novel approach based on the elastoplastic fatigue damage and machine learning models for life prediction of aerospace alloy parts fabricated by additive manufacturing

(2020) Zhixin Zhan et al.   INTERNATIONAL JOURNAL OF FATIGUE

Effect of strain amplitude on low cycle fatigue and microstructure evolution in Ti-6Al-4V: A TKD and TEM characterization

(2019) Jyoti S. Jha et al.   MATERIALS CHARACTERIZATION

Manufacturing effects on fatigue strength

(2019) Moises Jimenez-Martinez   ENGINEERING FAILURE ANALYSIS

A machine-learning approach for structural damage detection using least square support vector machine based on a new combinational kernel function

(2016) Ramin Ghiasi et al.   STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL

An experimental and numerical study for the damage characterization of a Ti–6AL–4V titanium alloy

(2015) Nima Allahverdizadeh et al.   INTERNATIONAL JOURNAL OF MECHANICAL SCIENCES