On the advances of computational nonclassical continuum theories of elasticity for bending analyses of small-sized plate-based structures: a review

AA Nuhu, B Safaei - Archives of Computational Methods in Engineering, 2023 - Springer
Nonclassical continuum theories of elasticity (NCTE) have been extensively used in the
mechanical analyses of small-sized structures due to their effective and tremendous ability …

Role of expert systems to optimize the friction stir welding process parameters using numerical modelling: a review

H Singh, A Mehta, Y Sharma, H Vasudev - International Journal on …, 2024 - Springer
The friction stir welding (FSW) process allow manufacturers the flexibility to use the process
in a wide variety of materials in different application areas. It has been discovered that the …

A novel generalization ability-enhanced approach for corrosion fatigue life prediction of marine welded structures

C Feng, M Su, L Xu, L Zhao, Y Han, C Peng - International Journal of …, 2023 - Elsevier
A generalization ability-enhanced approach for corrosion fatigue life prediction was
proposed. The data augmentation and analysis of influence factors were conducted via …

Probing the impact of process variables in laser-welded aluminum alloys: A machine learning study

F Didi, H Pallathadka, S Abdullaev, RR Asaad… - Materials Today …, 2024 - Elsevier
This paper presents a pioneering approach, Bayesian machine learning (ML), for the
estimation and characterization of critical laser welding features in Aluminum alloys …

Study of Friction and Wear Behavior of Graphene‐Reinforced AA7075 Nanocomposites by Machine Learning

I Prasanth, P Jeevanandam, P Selvaraju… - Journal of …, 2023 - Wiley Online Library
In this research, the friction and wear of AA7075 nanocomposites reinforced with graphene
and graphite were studied. Graphene's inclusion dramatically enhanced the material's …

A unified prediction approach of fatigue life suitable for diversified engineering materials

C Feng, M Su, L Xu, L Zhao, Y Han - Engineering Fracture Mechanics, 2023 - Elsevier
Investigation on fatigue life prediction approaches for welded joints of different materials was
of great significance for the reliability and safety of engineering structures. A fatigue …

Dissimilar friction stir butt welding of AA7075-T6 Al and Ti6Al4V Ti plates: Mechanical and metallurgical analysis

M Ugurlu, A Cakan - The International Journal of Advanced Manufacturing …, 2023 - Springer
In this study, AA7075-T6 aluminum alloy and Ti6Al4V titanium alloy plates were joined using
friction stir welding (FSW). Different welding parameters (rotational and welding speeds) …

Assessment of friction stir spot welding of AA5052 joints via machine learning

M Asmael, O Kalaf, B Safaei, T Nasir, S Sahmani… - Acta Mechanica, 2024 - Springer
In this study, successful joints were fabricated on 4-mm-thick aluminum alloy 5052 sheets by
using friction stir spot welding (FSSW) method. This research thoroughly investigated the …

A State‐of‐Art Review on Prediction Model for Fatigue Performance of Welded Joints via Data‐Driven Method

C Feng, L Xu, L Zhao, Y Han… - Advanced Engineering …, 2023 - Wiley Online Library
Fatigue fracture of welded joints is an important cause for engineering accidents. Due to the
coexistence of so many influencing factors, the current prediction model of fatigue behavior …

[PDF][PDF] Prediction of Springback Behavior of Vee Bending Process of AA5052 Aluminum Alloy Sheets Using Machine Learning.

M Asmael, OT Fubara, T Nasir - Jordan Journal of Mechanical & …, 2023 - jjmie.hu.edu.jo
This study explores the effect of Vee bending process parameter on the springback (SB)
behavior of aluminum (AA5052) alloy at sheet thickness of (2 and 3mm) with die-opening …