Benha University

Ahmed Mahmoud Shaaban Hewidy

Lecturer

Faculty of Engineering, Benha Mechanical Engineering

OptimizationofFusedDepositionModellingAcrylonitrile-co-Butadieneco-Styrene ParametersusingANOVAandHybridGRA–TOPSIS

JournalofAdvancedResearchinAppliedSciencesandEngineeringTechnology • 2024
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Publication Information
Authors IbrahimSabry,TarekEl-Attar,A.M.Hewidy
Keywords 3D printing
Journal JournalofAdvancedResearchinAppliedSciencesandEngineeringTechnology
Publisher SemarakIlmuPublishing
Volume 50
Issue Not Available
Pages 66-77
publication.type International
Paper Link Open Link
Supplementary Materials Not Available
Abstract
Traditionalmaterialsused inmechanical structures shouldbeswappedout for lessexpensivealternatives that arebothstrongandsimple toproduce. ABS+,orpoly(acrylonitrile-co-butadiene-co-styrene), isasubstitutematerial usedin3Dprinting.Thequickchanges inmodel sizeandformsduringthe prototypestageandthecomparablyinexpensivecostofnewpartsaremade possibleby3Dprintingtechnology. Inthemarket for3Dprinters, thereare several suppliers of plasticmaterials.AcombinedMCDMtechnique aanalysisofvarianceareusedinthecurrentworktoassesstheFDMprocess's parameters. During the experiment, three process factors—Layer height, extrusion temperature, and printing speed—are considered, and their associated response parameters, ultimate tensile strength, and surface roughness are established. Themultiple-criteria decision-making strategy, which incorporateshybridGRA-TOPSISandANOVA, is employed since therearetworesponsesandtwoobjectives.Theidealparametersdetermined by these statisticalmethodswereanextrusion temperatureof2600c, layer heightof0.2mm,andprintingspeedof60mm/s.Thisstudyconcludesthat theoptimalparametersfor theinvestigatedexperimentaldataareconvergent regardlessofthetwotechniquesused.nd
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