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

Faouzi DidiDepartment of Commun Core of Technologie, Laboratory of Renewable Energy and Materials (LREM), University Yahia Fares of Medea, 26.000, Medea, AlgeriaHarikumar PallathadkaManipur International University, Imphal, Manipur, IndiaSherzod AbdullaevCEO, Editory LLC, Tashkent, UzbekistanRenas Rajab AsaadDepartment of Computer Science, Nawroz University, Duhok, IraqShavan AskarErbil Technical engineering college, Erbil polytechnic University, Erbil, IraqNoor Hanoon HaroonDepartment of Computer Technical Engineering, Technical Engineering College, Al-Ayen University, Thi-Qar, Iraq
Materials Today Communicationsjournal2023en
ABI

Abstract

No abstract available.

Topics

Welding Techniques and Residual StressesAdvanced Welding Techniques AnalysisAluminum Alloy Microstructure Properties

Identifiers

DOI
10.1016/j.mtcomm.2023.107660

Citations and references

Cited by 063 references
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