Analysing the Fatigue Behaviour and Residual Stress Relaxation of Gradient Nano-Structured 316L Steel Subjected to the Shot Peening via Deep Learning Approach

Mathematical Modelling of Vickers Hardness of Sn-9Zn-Cu Solder Alloys Using an Artificial Neural Network

(2021) A. F. Abd El-Rehim et al.   METALS AND MATERIALS INTERNATIONAL

Fatigue limit prediction and analysis of nano-structured AISI 304 steel by severe shot peening via ANN

(2020) Erfan Maleki et al.   ENGINEERING WITH COMPUTERS

Effect of shot peening coverage on hydrogen embrittlement of a ferrite-pearlite steel

(2020) Yanfei Wang et al.   INTERNATIONAL JOURNAL OF HYDROGEN ENERGY

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

An improvement in fatigue behavior of AISI 4340 steel by shot peening and ultrasonic nanocrystal surface modification

(2020) Ruslan Karimbaev et al.   MATERIALS SCIENCE AND ENGINEERING A-STRUCTURAL MATERIALS PROPERTIES MICROSTRUCTURE AND PROCESSING

Optimization of Shot Peening Effective Parameters on Surface Hardness Improvement

(2020) Erfan Maleki et al.   METALS AND MATERIALS INTERNATIONAL

Machine Learning and Statistical Approach to Predict and Analyze Wear Rates in Copper Surface Composites

(2020) Titus Thankachan et al.   METALS AND MATERIALS INTERNATIONAL

Mechanical properties and deformation mechanisms of gradient nanostructured metals and alloys

(2020) Xiaoyan Li et al.   Nature Reviews Materials

Enhancement in microstructural and mechanical performance of AA7075 aluminum alloy via severe shot peening and ultrasonic nanocrystal surface modification

(2020) Yusuf Efe et al.   APPLIED SURFACE SCIENCE

Classification of Fatigue Crack Damage in Polycrystalline Alloy Structures Using Convolutional Neural Networks

(2020) Hassan Alqahtani et al.   ENGINEERING FAILURE ANALYSIS

Artificial Intelligence Applications for Friction Stir Welding: A Review

(2020) Berkay Eren et al.   METALS AND MATERIALS INTERNATIONAL

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

(2020) Erfan Maleki et al.   Additive Manufacturing

An artificial neural network modeling approach for short and long fatigue crack propagation

(2020) S.N.S. Mortazavi et al.   COMPUTATIONAL MATERIALS SCIENCE

Effect of severe vibratory peening on microstructural and tribological properties of hot rolled AISI 1020 mild steel

(2020) Turan Das et al.   SURFACE & COATINGS TECHNOLOGY

Mechanical characterization and interfacial enzymatic activity of AISI 316L stainless steel after surface nanocrystallization

(2020) Erfan Maleki et al.   SURFACE & COATINGS TECHNOLOGY

Analyzing the mechano-bactericidal effect of nano-patterned surfaces on different bacteria species

(2020) Erfan Maleki et al.   SURFACE & COATINGS TECHNOLOGY

Efficiency Analysis of Shot Peening Parameters on Variations of Hardness, Grain Size and Residual Stress via Taguchi Approach

(2019) Erfan Maleki et al.   METALS AND MATERIALS INTERNATIONAL

Effects of severe plastic deformation on pre-osteoblast cell behavior and proliferation on AISI 304 and Ti-6Al-4V metallic substrates

(2019) Atakan Tevlek et al.   SURFACE & COATINGS TECHNOLOGY

Post-Processing Effects on Surface Properties of Direct Metal Laser Sintered AlSi10Mg Parts

(2019) Binnur Sagbas   METALS AND MATERIALS INTERNATIONAL

Effect of high energy shot peening on the wear resistance of TiN films on a TA2 surface

(2019) Conghui Zhang et al.   SURFACE & COATINGS TECHNOLOGY

Investigation on the effect of shot peening coverage on the surface integrity

(2019) Qinjie Lin et al.   APPLIED SURFACE SCIENCE

Shot Peening Process Effects on Metallurgical and Mechanical Properties of 316 L Steel via: Experimental and Neural Network Modeling

(2019) E. Maleki et al.   METALS AND MATERIALS INTERNATIONAL

Characteristics and formation mechanisms of defects in surface layer of TC17 subjected to high energy shot peening

(2019) C. Yang et al.   APPLIED SURFACE SCIENCE

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

(2019) Erfan Maleki et al.   MATERIALS CHARACTERIZATION

Fatigue behavior prediction and analysis of shot peened mild carbon steels

(2018) Erfan Maleki et al.   INTERNATIONAL JOURNAL OF FATIGUE

Shot peening optimization with complex decision-making tool: Multi criteria decision-making

(2018) Okan Unal et al.   MEASUREMENT

A neural network-based method for coverage measurement of shot-peened panels

(2018) Lubna Shahid et al.   NEURAL COMPUTING & APPLICATIONS

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

(2018) Erfan Maleki et al.   SURFACE & COATINGS TECHNOLOGY

Insights into formation of gradient nanostructured (GNS) layer and deformation induced martensite in AISI 316 stainless steel subjected to severe shot peening

(2018) M. Jayalakshmi et al.   SURFACE & COATINGS TECHNOLOGY

Correlation between the surface coverage of severe shot peening and surface microstructural evolutions in AISI 321: A TEM, FE-SEM and GI-XRD study

(2018) Sadegh Pour-Ali et al.   SURFACE & COATINGS TECHNOLOGY

Identifying the implied volatility using the total variation regularization

(2018) Yun Liu et al.   Boundary Value Problems

Effect of severe shot peening on corrosion behavior of AZ31 and AZ91 magnesium alloys

(2018) Cancan Liu et al.   JOURNAL OF ALLOYS AND COMPOUNDS

Effect of combined shot peening and ultrasonic nanocrystal surface modification processes on the fatigue performance of AISI 304

(2018) Auezhan Amanov et al.   SURFACE & COATINGS TECHNOLOGY

Using deep neural network with small dataset to predict material defects

(2018) Shuo Feng et al.   MATERIALS & DESIGN

A regulated boosting technique for material fatigue property prognostics

(2017) De Z. Li et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

Predicting protein–protein interactions from protein sequences by a stacked sparse autoencoder deep neural network

(2017) Yan-Bin Wang et al.   Molecular BioSystems

Artificial Neural Network Modeling of Pt/C Cathode Degradation in PEM Fuel Cells

(2016) Erfan Maleki et al.   JOURNAL OF ELECTRONIC MATERIALS

Influence of different combined severe shot peening and laser surface melting treatments on the fatigue performance of 20CrMnTi steel gear

(2016) You Lv et al.   MATERIALS SCIENCE AND ENGINEERING A-STRUCTURAL MATERIALS PROPERTIES MICROSTRUCTURE AND PROCESSING

Numerical analysis and experimental validation on residual stress distribution of titanium matrix composite after shot peening treatment

(2016) Lechun Xie et al.   MECHANICS OF MATERIALS

On the efficiency of artificial neural networks for plastic analysis of planar frames in comparison with genetic algorithms and ant colony systems

(2016) M. Jahanshahi et al.   NEURAL COMPUTING & APPLICATIONS

Nanoscale surface modification of AISI 316L stainless steel by severe shot peening

(2016) Sara Bagherifard et al.   MATERIALS & DESIGN

Evolution of residual stress redistribution associated with localized surface microcracking in shot-peened medium-carbon steel during fatigue test

(2013) Jong-Cheon Kim et al.   INTERNATIONAL JOURNAL OF FATIGUE

On the shot peening surface coverage and its assessment by means of finite element simulation: A critical review and some original developments

(2012) Sara Bagherifard et al.   APPLIED SURFACE SCIENCE

Residual Stress Relaxation of Shot Peened Deformation Surface Layer on S30432 Austenite Steel under Applied Loading

(2012) K. Zhan et al.   MATERIALS TRANSACTIONS

Experimental investigation and fatigue life prediction for 7475-T7351 aluminum alloy with and without shot peening-induced residual stresses

(2011) Y.K. Gao et al.   ACTA MATERIALIA

Fatigue behavior of a low-alloy steel with nanostructured surface obtained by severe shot peening

(2011) Sara Bagherifard et al.   ENGINEERING FRACTURE MECHANICS

Modelling of residual stresses in the shot peened material C-1020 by artificial neural network

(2008) Cetin Karataş et al.   EXPERT SYSTEMS WITH APPLICATIONS