Prediction of geometrical characteristics and process parameter optimization of laser deposition AISI 316 steel using fuzzy inference

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dc.contributor.authorVelazquez D.R.T.
dc.contributor.authorHelleno A.L.
dc.contributor.authorFals H.C.
dc.contributor.authordos Santos R.G.
dc.date.accessioned2024-03-12T19:19:57Z
dc.date.available2024-03-12T19:19:57Z
dc.date.issued2021
dc.description.abstract© 2021, The Author(s), under exclusive licence to Springer-Verlag London Ltd., part of Springer Nature.Laser metal deposition (LMD) process is an additive manufacturing technique that has attracted the interest of the automotive and aerospace industries due to its ability to manufacture parts with complex geometries and different types of metallic materials. However, the structure of the deposited layers and the geometrical characteristics of the manufactured parts are influenced by the interaction among the deposition process parameters. In this paper, fuzzy inference (FIS) technique was used to develop two models for predicting the geometrical characteristics and for optimizing the LMD process parameters. LMD was performed using AISI 316 stainless steel powder and substrate. An experimental design, based on factorial analysis, was used to correlate the influence of selected deposition process parameters, laser power (Lp), powder flow (Pf) and focal length (Fl) with the process geometrical characteristics bead height (Bh), bead width (Bw), depth of penetration (Dp), dilution (d) and wetting angle (wa). The factors Lp and Fl were used with three operating levels each, and the factor Pf was used with two operating levels. An analysis of variance allowed identifying that the Pf affects the Bh, Bh/Bw ratio, d and wa, as well as the increase in Lp showed an increasing of the geometric characteristics Bw and Dp. The first FIS, for predicting the bead’s geometrical characteristics, presented high adequacy (error up to 8.43%) for assessing the experimental conditions. The second FIS showed through the output defuzzified index (ODI) measured the best possible process parameters interaction, given the studied operating conditions and the output variables assessed.
dc.description.firstpage1547
dc.description.issuenumber5-6
dc.description.lastpage1564
dc.description.volume115
dc.identifier.doi10.1007/s00170-021-07269-y
dc.identifier.issn1433-3015
dc.identifier.urihttps://dspace.mackenzie.br/handle/10899/34630
dc.relation.ispartofInternational Journal of Advanced Manufacturing Technology
dc.rightsAcesso Restrito
dc.subject.otherlanguageAISI 316 stainless steel
dc.subject.otherlanguageBead geometry prediction
dc.subject.otherlanguageDeposition process parameters
dc.subject.otherlanguageFuzzy inference
dc.subject.otherlanguageLaser metal deposition
dc.titlePrediction of geometrical characteristics and process parameter optimization of laser deposition AISI 316 steel using fuzzy inference
dc.typeArtigo
local.scopus.citations2
local.scopus.eid2-s2.0-85105953511
local.scopus.subjectAISI 316 stainless steel
local.scopus.subjectExperimental conditions
local.scopus.subjectGeometric characteristics
local.scopus.subjectGeometrical characteristics
local.scopus.subjectLaser metal deposition
local.scopus.subjectManufacturing techniques
local.scopus.subjectOperating condition
local.scopus.subjectProcess parameter optimization
local.scopus.updated2024-12-01
local.scopus.urlhttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85105953511&origin=inward
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