Ahmed Mahmoud Shaaban Hewidy
Lecturer
Analysisofvarianceandgreyrelational analysisapplicationmethodsfor theselectionand optimizationproblemin6061-T6flangefrictionstirweldingprocessparameters
InternationalJournalofLightweightMaterialsandManufacture • 2024
Publication Information
Authors
IbrahimSabry,A.M.Hewidy,MohammadAlkhedher,Abdel-HamidIsmail Mourad
Keywords
FSW
Journal
InternationalJournalofLightweightMaterialsandManufacture
Publisher
KeAiPublishingCommunicationsLtd.
Volume
7
Issue
Not Available
Pages
773-792
publication.type
International
Paper Link
Open Link
Supplementary Materials
Not Available
Abstract
A study was carried out to investigate and enhance the effects of friction stir welding on the mechanical characteristics of a flange composed of 6061-T3 aluminum alloy. The pipes possess an outer diameter and wall thickness of 6 mm, while the plates are sized at 100 x 100 6 mm. Nine unique experiments were planned using the Taguchi orthogonal array method, with the welding tool remaining constant. Three independent variables (travel speed, rotation speed, and shoulder diameter) were altered at three different levels for each variable. The research analyzed the influence of various FSW factors on the weld flange joint. Analysis of variance (ANOVA) and grey relational analysis (GRA) were employed to determine the impact of each FSW underwater parameter. Moreover, the statistical Taguchi technique (TM) was used to predict the optimal combination of welding parameters to improve tensile properties, including tensile strength (UTS), yield strength (YS), elongation (EI%), and bending load (BL) of welded joints. Additionally, the actual tests demonstrated a high level of agreement with the results obtained from the proposed mathematical model. The validation results obtained indicate that the optimization method is a dependable tool for enhancing the quality responses of friction stir welding.
