Additive manufacturing of nickel-based superalloys: A state-of-the-art review on process-structure-defect-property relationship

A Mostafaei, R Ghiaasiaan, IT Ho, S Strayer… - Progress in Materials …, 2023 - Elsevier
Fusion-based additive manufacturing (AM) has significantly grown to fabricate Nickel-based
superalloys with design freedom across multiple length scales. Several phenomena such as …

Defects and anomalies in powder bed fusion metal additive manufacturing

A Mostafaei, C Zhao, Y He, SR Ghiaasiaan… - Current Opinion in Solid …, 2022 - Elsevier
Metal additive manufacturing is a disruptive technology that is revolutionizing the
manufacturing industry. Despite its unrivaled capability for directly fabricating metal parts …

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

P Foti, N Razavi, A Fatemi, F Berto - Progress in Materials Science, 2023 - Elsevier
Additive manufacturing techniques offer significant advantages over conventional
manufacturing methods. These include the possibility of realizing highly customized …

A novel machine learning method for multiaxial fatigue life prediction: Improved adaptive neuro-fuzzy inference system

J Gao, F Heng, Y Yuan, Y Liu - International Journal of Fatigue, 2024 - Elsevier
In this study, a neuro-fuzzy-based machine learning method is developed to predict the
multiaxial fatigue life of various metallic materials. First, the fuzzy inference system and …

Additive manufacturing of fatigue resistant materials: Challenges and opportunities

A Yadollahi, N Shamsaei - International Journal of Fatigue, 2017 - Elsevier
This overview focuses on the current state of knowledge pertaining to the mechanical
characteristics of metallic parts fabricated via additive manufacturing (AM), as well as the …

Probabilistic modeling of uncertainties in fatigue reliability analysis of turbine bladed disks

XP Niu, RZ Wang, D Liao, SP Zhu, XC Zhang… - International Journal of …, 2021 - Elsevier
Turbine bladed disks normally operate under complex loadings coupling with uncertainties
originate from multiple sources, including material variability, load variation and geometrical …

An overview of Direct Laser Deposition for additive manufacturing; Part II: Mechanical behavior, process parameter optimization and control

N Shamsaei, A Yadollahi, L Bian, SM Thompson - Additive manufacturing, 2015 - Elsevier
The mechanical behavior, and thus 'trustworthiness'/durability, of engineering components
fabricated via laser-based additive manufacturing (LBAM) is still not well understood. This is …

Fatigue of additive manufactured Ti-6Al-4V, Part II: The relationship between microstructure, material cyclic properties, and component performance

R Molaei, A Fatemi, N Sanaei, J Pegues… - International Journal of …, 2020 - Elsevier
Part I of these two-part paper series focused on the process and structure relationships,
effect of powder feedstock, fabrication parameters, and post fabrication treatments on the …

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

P Li, DH Warner, A Fatemi, N Phan - International Journal of Fatigue, 2016 - Elsevier
To realize the potential benefits of additive manufacturing technology in airframe and ground
vehicle applications, the fatigue performance of load bearing additively manufactured …

Computational-experimental approaches for fatigue reliability assessment of turbine bladed disks

SP Zhu, Q Liu, W Peng, XC Zhang - International Journal of Mechanical …, 2018 - Elsevier
In the present study, a computational-experimental framework is developed for fatigue
reliability assessment of turbine bladed disks. Within the framework, the overspeed testing is …