Surface post-treatments for metal additive manufacturing: Progress, challenges, and opportunities E Maleki, S Bagherifard, M Bandini, M Guagliano Additive Manufacturing, 101619, 2021 | 363 | 2021 |
The effects of shot peening, laser shock peening and ultrasonic nanocrystal surface modification on the fatigue strength of Inconel 718 E Maleki, O Unal, M Guagliano, S Bagherifard Materials Science and Engineering: A 810, 141029, 2021 | 149 | 2021 |
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 344, 62-74, 2018 | 118 | 2018 |
A novel enzyme based biosensor for catechol detection in water samples using artificial neural network N Maleki, S Kashanian, E Maleki, M Nazari Biochemical engineering journal 128, 1-11, 2017 | 118 | 2017 |
Effect of combined shot peening and ultrasonic nanocrystal surface modification processes on the fatigue performance of AISI 304 A Amanov, R Karimbaev, E Maleki, O Unal, YS Pyun, T Amanov Surface and Coatings Technology 358, 695–705, 2019 | 113 | 2019 |
Fatigue behavior prediction and analysis of shot peened mild carbon steels E Maleki, O Unal, K Reza Kashyzadeh International Journal of Fatigue 116, 48-67, 2018 | 113 | 2018 |
Effect of severe shot peening and ultra-low temperature plasma nitriding on Ti-6Al-4V alloy O Unal, E Maleki, R Varol Vacuum 150, 69-78, 2018 | 98 | 2018 |
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 | 79 | 2018 |
Enhancement in microstructural and mechanical performance of AA7075 aluminum alloy via severe shot peening and ultrasonic nanocrystal surface modification Y Efe, I Karademir, F Husem, E Maleki, R Karimbaev, A Amanov, O Unal Applied Surface Science, 146922, 2020 | 73 | 2020 |
Artificial neural networks application for modeling of friction stir welding effects on mechanical properties of 7075-T6 aluminum alloy E Maleki IOP Conference Series: Materials Science and Engineering 103 (1), 012034, 2015 | 68 | 2015 |
Effects of conventional and severe shot peening on residual stress and fatigue strength of steel AISI 1060 and residual stress relaxation due to fatigue loading: Experimental … E Maleki, GH Farrahi, K Reza Kashyzadeh, O Unal, M Gugaliano, ... Metals and Materials International 27, 2575-2591, 2021 | 65 | 2021 |
Novel experimental methods for the determination of the boundaries between conventional, severe and over shot peening processes E Maleki, O Unal, A Amanov Surfaces and Interfaces 13, 233–254, 2018 | 61 | 2018 |
An improvement in fatigue behavior of AISI 4340 steel by shot peening and ultrasonic nanocrystal surface modification R Karimbaev, YS Pyun, E Maleki, O Unal, A Amanov Materials Science and Engineering: A 791, 139752, 2020 | 60 | 2020 |
Surface layer nanocrystallization of carbon steels subjected to severe shot peening: Analysis and optimization E Maleki, O Unal, KR Kashyzadeh Materials Characterization 157, 109877, 2019 | 60 | 2019 |
Efficiency Analysis of Shot Peening Parameters on Variations of Hardness, Grain Size and Residual Stress via Taguchi Approach E Maleki, O Unal, K Reza Kashyzadeh Metals and Materials International, 2019 | 60 | 2019 |
Effects of conventional shot peening, severe shot peening, re-shot peening and precised grinding operations on fatigue performance of AISI 1050 railway axle steel O Unal, E Maleki, I Karademir, F Husem, Y Efe, T Das International Journal of Fatigue 155, 106613, 2022 | 56 | 2022 |
Fatigue behaviour of notched laser powder bed fusion AlSi10Mg after thermal and mechanical surface post-processing E Maleki, S Bagherifard, SMJ Razavi, M Riccio, M Bandini, A du Plessis, ... Materials Science and Engineering: A 829, 142145, 2022 | 52 | 2022 |
Analysing the fatigue behaviour and residual stress relaxation of gradient nano-structured 316L steel subjected to the shot peening via deep learning approach E Maleki, O Unal, M Guagliano, S Bagherifard Metals and Materials International 28, 112-131, 2022 | 47 | 2022 |
Shot peening process effects on metallurgical and mechanical properties of 316 L steel via: experimental and neural network modeling E Maleki, O Unal Metals and Materials International 27, 262-276, 2021 | 46 | 2021 |
On the efficiency of machine learning for fatigue assessment of post-processed additively manufactured AlSi10Mg E Maleki, S Bagherifard, SMJ Razavi, M Bandini, A du Plessis, F Berto, ... International Journal of Fatigue 160, 106841, 2022 | 45 | 2022 |