Fuzzy logic-based inference system for prediction of energy input in laser metal deposited Aisi316 single-beads

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dc.contributor.authorTase Velazquez D.R.
dc.contributor.authorHelleno A.L.
dc.contributor.authorde Oliveira M.C.
dc.contributor.authorFals H.C.
dc.contributor.authorMacias E.J.
dc.date.accessioned2024-03-12T23:49:20Z
dc.date.available2024-03-12T23:49:20Z
dc.date.issued2020
dc.description.abstract© 2020 The Authors.Laser metal deposition (LMD) process has the capability to produce functional and complex 3D parts. The deposits characteristics are strongly influenced by the deposition parameters and volume energy input. The aims of this paper is to predict using a fuzzy logic-based inference system (FIS), the volume energy generated after depositing AISI 316 SS single-beads by LMD. Previously to FIS modeling, the influence of laser power (Lp), laser scan speed (Lss), powder flow (Pf) and focal length (Fl) on deposited beads were studied by analyzing the response-variables bead height (Bh) and bead width (Bw). ANOVA allowed identifying that Pf mostly affect the Bh, and Lp has greater significance on Bw. Predictive FIS modeled presented high adequacy assessing the experimental conditions, showing an average relative error of 4.76 %. Thus, the proposed FIS can be can be effectively utilized to predict the volume energy input and be integrated within an automated LMD environment to reduce complexities in process planning activities and increase process stability.
dc.description.firstpage400
dc.description.lastpage409
dc.identifier.doi10.46354/i3m.2020.emss.058
dc.identifier.urihttps://dspace.mackenzie.br/handle/10899/35057
dc.relation.ispartof32nd European Modeling and Simulation Symposium, EMSS 2020
dc.rightsAcesso Restrito
dc.subject.otherlanguageAdditive manufacturing
dc.subject.otherlanguageFuzzy logic
dc.subject.otherlanguageLaser metal deposition
dc.subject.otherlanguageVolume energy input
dc.titleFuzzy logic-based inference system for prediction of energy input in laser metal deposited Aisi316 single-beads
dc.typeArtigo de evento
local.scopus.citations3
local.scopus.eid2-s2.0-85097711275
local.scopus.subjectAverage relative error
local.scopus.subjectDeposition Parameters
local.scopus.subjectExperimental conditions
local.scopus.subjectFocal lengths
local.scopus.subjectInference systems
local.scopus.subjectLaser metal deposition
local.scopus.subjectLaser scan speed
local.scopus.subjectProcess stability
local.scopus.updated2024-05-01
local.scopus.urlhttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85097711275&origin=inward
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