Surface post-treatments for metal additive manufacturing: Progress, challenges, and opportunities

E Maleki, S Bagherifard, M Bandini, M Guagliano - Additive Manufacturing, 2021 - Elsevier
Metal additive manufacturing is a rapidly expanding area owing to its capacity to fabricate
parts of intricate geometries with customized features for a wide range of applications …

Fatigue modeling using neural networks: A comprehensive review

J Chen, Y Liu - Fatigue & Fracture of Engineering Materials & …, 2022 - Wiley Online Library
Neural network (NN) models have significantly impacted fatigue‐related engineering
communities and are expected to increase rapidly due to the recent advancements in …

Improved tensile strength and fatigue properties of wire-arc additively manufactured 2319 aluminum alloy by surface laser shock peening

Y Jing, X Fang, N Xi, T Chang, Y Duan… - Materials Science and …, 2023 - Elsevier
Wire-arc additive manufacturing (WAAM) has been extensively studied thanks to its high
material utilization rate and ability to form large-size components. However, due to the …

Artificial intelligence in materials modeling and design

JS Huang, JX Liew, AS Ademiloye, KM Liew - Archives of Computational …, 2021 - Springer
In recent decades, the use of artificial intelligence (AI) techniques in the field of materials
modeling has received significant attention owing to their excellent ability to analyze a vast …

Effects of conventional, severe, over, and re-shot peening processes on the fatigue behavior of mild carbon steel

E Maleki, O Unal, KR Kashyzadeh - Surface and Coatings Technology, 2018 - Elsevier
The present study investigates experimentally the effects of different shot peening
treatments, including conventional, severe, over, and re-shot peening on microstructure …

Fatigue behavior prediction and analysis of shot peened mild carbon steels

E Maleki, O Unal, KR Kashyzadeh - International Journal of Fatigue, 2018 - Elsevier
One of the well-known methods of severe plastic deformation (SPD), shot peening is widely
used to improve the mechanical properties and fatigue behavior of metallic materials. The …

Prediction of concrete compressive strength using a back-propagation neural network optimized by a genetic algorithm and response surface analysis considering the …

K Reza Kashyzadeh, N Amiri, S Ghorbani, K Souri - Buildings, 2022 - mdpi.com
In the present research, the authors have attempted to examine the compressive strength of
conventional concrete, which is made using different aggregate sizes and geometries …

Surface layer nanocrystallization of carbon steels subjected to severe shot peening: Analysis and optimization

E Maleki, O Unal, KR Kashyzadeh - Materials Characterization, 2019 - Elsevier
Severe shot peening (SSP) process is widely used for surface nanocrysallization of a bulk
material that demonstrates excellent mechanical properties compared with its coarse …

Roles of surface coverage increase and re-peening on properties of AISI 1045 carbon steel in conventional and severe shot peening processes

E Maleki, O Unal - Surfaces and Interfaces, 2018 - Elsevier
Surface coverage as one of the most effective parameters of shot peening process has
substantial influence on the functionality of the peened component. The aim of this study is …

Novel GA-Based DNN Architecture for Identifying the Failure Mode with High Accuracy and Analyzing Its Effects on the System

N Rezaeian, R Gurina, OA Saltykova, L Hezla… - Applied Sciences, 2024 - mdpi.com
Symmetric data play an effective role in the risk assessment process, and, therefore,
integrating symmetrical information using Failure Mode and Effects Analysis (FMEA) is …