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

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Additive manufacturing of metals

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Additive manufactured AlSi10Mg samples using Selective Laser Melting (SLM): Microstructure, high cycle fatigue, and fracture behavior

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Mechanical behavior of additive manufactured, powder-bed laser-fused materials

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Fatigue performance evaluation of selective laser melted Ti–6Al–4V

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A review of mechanical properties of additively manufactured Inconel 718

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Comparison of the microstructures and mechanical properties of Ti–6Al–4V fabricated by selective laser melting and electron beam melting

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Critical assessment of the fatigue performance of additively manufactured Ti–6Al–4V and perspective for future research

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Effects of Defects in Laser Additive Manufactured Ti-6Al-4V on Fatigue Properties

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An implementation of artificial neural-network potentials for atomistic materials simulations: Performance for TiO2

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Oxides, porosity and fatigue performance of AlSi10Mg parts produced by selective laser melting

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Representation of compounds for machine-learning prediction of physical properties

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Fatigue of AlSi10Mg specimens fabricated by additive manufacturing selective laser melting (AM-SLM)

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The effect of SLM process parameters on density, hardness, tensile strength and surface quality of Ti-6Al-4V

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Integration of new evolutionary approach with artificial neural network for solving short term load forecast problem

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A Manifold Learning Approach to Data-Driven Computational Elasticity and Inelasticity

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Fatigue and fracture behaviour of laser powder bed fusion stainless steel 316L: Influence of processing parameters

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A review on the fatigue behavior of Ti-6Al-4V fabricated by electron beam melting additive manufacturing

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Modelling and Pareto optimization of mechanical properties of friction stir welded AA7075/AA5083 butt joints using neural network and particle swarm algorithm

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Using machine learning and a data-driven approach to identify the small fatigue crack driving force in polycrystalline materials

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Prediction and modeling of mechanical properties in fiber reinforced self-compacting concrete using particle swarm optimization algorithm and artificial neural network

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Effect of processing conditions on the microstructure, porosity, and mechanical properties of Ti-6Al-4V repair fabricated by directed energy deposition

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Multiaxial fatigue analysis of notched components using combined critical plane and critical distance approach

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

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Variable selection and prediction of uniaxial compressive strength and modulus of elasticity by random forest

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Fatigue behavior of Ti-6Al-4V cellular structures fabricated by additive manufacturing technique

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Evaluation of the mechanical and wear properties of titanium produced by three different additive manufacturing methods for biomedical application

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Finite element implementation of multiaxial continuum damage mechanics for plain and fretting fatigue

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Fatigue behavior of IN718 microtrusses produced via additive manufacturing

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Energy field intensity approach for notch fatigue analysis

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Notch fatigue and crack growth resistance of Ti-6Al-4V ELI additively manufactured via selective laser melting: A critical distance approach to defect sensitivity

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Critical distance approach for the fatigue strength assessment of magnesium welded joints in contrast to Neuber's effective stress method

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The influence of laminate stacking sequence on ballistic limit using a combined Experimental/FEM/Artificial Neural Networks (ANN) methodology

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Explaining relationships between coke quality index and coal properties by Random Forest method

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A modified energy-based approach for fatigue life prediction of superelastic NiTi in presence of tensile mean strain and stress

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Predictive models for fatigue property of laser powder bed fusion stainless steel 316L

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Development of a novel fatigue damage model with AM effects for life prediction of commonly-used alloys in aerospace

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A simplified continuum damage mechanics based modeling strategy for cumulative fatigue damage assessment of metallic bolted joints

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A continuum damage mechanics approach for fretting fatigue under out of phase loading

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On the accuracy of nominal, structural, and local stress based approaches in designing aluminium welded joints against fatigue

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Understanding the mechanical properties of novel UHTCMCs through random forest and regression tree analysis

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Fatigue life prediction of aero-engine compressor disk based on a new stress field intensity approach

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Regression and artificial neural network models for strength properties of engineered cementitious composites

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A unifying energy approach for high cycle fatigue behavior evaluation

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Elucidating the Relations Between Monotonic and Fatigue Properties of Laser Powder Bed Fusion Stainless Steel 316L

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An efficient computational strategy of cycle-jumps dedicated to fatigue of composite structures

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A new continuum damage mechanics–based two‐scale model for high‐cycle fatigue life prediction considering the two‐segment characteristic in S‐N curves

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A local stress-strain approach for fatigue damage prediction of subsea wellhead system based on semi-decoupled model

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A modified stress field intensity approach for fatigue life prediction of components

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Fatigue life assessment of welded joints by two local stress approaches: The notch stress approach and the peak stress method

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Continuous fatigue damage prediction of a rubber fibre composite structure using multiaxial energy‐based approach

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New hybrid cycle jump approach for predicting low-cycle fatigue behavior by a micromechanical model with the damage induced anisotropy concept

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Metal additive manufacturing in aerospace: A review

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Additively manufactured materials and structures: A state-of-the-art review on their mechanical characteristics and energy absorption

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Machine learning-based fatigue life prediction of metal materials: Perspectives of physics-informed and data-driven hybrid methods

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Fatigue modeling using neural networks: A comprehensive review

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A novel method of multiaxial fatigue life prediction based on deep learning

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Research and application of machine learning for additive manufacturing

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Role of metal 3D printing to increase quality and resource-efficiency in the construction sector

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Recent applications of machine learning in alloy design: A review

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

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Process modeling in laser powder bed fusion towards defect detection and quality control via machine learning: The state-of-the-art and research challenges

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A novel deep learning approach of multiaxial fatigue life-prediction with a self-attention mechanism characterizing the effects of loading history and varying temperature

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Modelling fatigue life prediction of additively manufactured Ti-6Al-4V samples using machine learning approach

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Recent advances in machine learning-assisted fatigue life prediction of additive manufactured metallic materials: A review

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A comprehensive overview of additive manufacturing aluminum alloys: Classifications, structures, properties and defects elimination

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Multiaxial fatigue of additively manufactured metallic components: A review of the failure mechanisms and fatigue life prediction methodologies

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Fatigue performance of metal additive manufacturing: a comprehensive overview

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A fatigue life prediction approach for laser-directed energy deposition titanium alloys by using support vector regression based on pore-induced failures

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A holistic review on fatigue properties of additively manufactured metals

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In-situ experimental and high-fidelity modeling tools to advance understanding of metal additive manufacturing

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Using hybrid physics-informed neural networks to predict lifetime under multiaxial fatigue loading

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

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Progress in additive manufacturing, additive repair and fatigue evaluation of aviation titanium alloy blades

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A review on additive manufacturing for aerospace application

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On the efficiency of machine learning for fatigue assessment of post-processed additively manufactured AlSi10Mg

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A systematic review on data of additive manufacturing for machine learning applications: the data quality, type, preprocessing, and management

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Data driven method for predicting the effect of process parameters on the fatigue response of additive manufactured AlSi10Mg parts

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A comprehensive review on metal laser additive manufacturing in space: Modeling and perspectives

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Machine learning for predicting fatigue properties of additively manufactured materials

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Rate-dependent multiaxial life prediction for polyamide-6 considering ratchetting: Semi-empirical and physics-informed machine learning models

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Applications of artificial intelligence and machine learning in metal additive manufacturing

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Application of tabular data synthesis using generative adversarial networks on machine learning-based multiaxial fatigue life prediction

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Application of machine learning methods in multiaxial fatigue life prediction

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Machine Learning in Biomaterials, Biomechanics/Mechanobiology, and Biofabrication: State of the Art and Perspective

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Fatigue life analysis of high-strength bolts based on machine learning method and SHapley Additive exPlanations (SHAP) approach

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