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(Referência obtida automaticamente do Web of Science, por meio da informação sobre o financiamento pela FAPESP e o número do processo correspondente, incluída na publicação pelos autores.)

Residual stresses prediction in machining: Hybrid FEM enhanced by assessment of plastic flow

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Autor(es):
Rocha D' Oliveira, Andre Luiz [1] ; Rego, Ronnie Rodrigo [1] ; de Faria, Alfredo Rocha [1]
Número total de Autores: 3
Afiliação do(s) autor(es):
[1] Aeronaut Inst Technol ITA, Competence Ctr Mfg, Praca Marechal Eduardo Gomes 50, BR-12228900 Sao Jose Dos Campos - Brazil
Número total de Afiliações: 1
Tipo de documento: Artigo Científico
Fonte: Journal of Materials Processing Technology; v. 275, JAN 2020.
Citações Web of Science: 0
Resumo

Manufactured components are submitted to thermo-mechanical loads that can blemish their surface integrity and change the inherent residual stress distribution. The discontinuous machining process is relevant to the integrity conception because of their potential application at the end of the manufacturing chain. In order to consolidate a method to predict the residual stress state with a reduced CPU effort, this paper addresses the prediction of residual stress fields resulting from the milling process. The approach is using the hybrid FEM approach combined with the analysis of the plastic flow. The results obtained point out to the validity of the combination of the hybrid method and the visualization of the equivalent stress and equivalent strain rates. Moreover, a direct correspondence between the references and experimental dataset was observed, even when the input data for the model is associated with macro-loads obtained by piezoelectric platform measurements. The determination of the stress state as residual stress in mainly associated to the mesh convergence and the time to equilibrate the plastic flow. A conclusion is drawn regarding the viability of applying the same combination for other manufacturing processes. (AU)

Processo FAPESP: 18/09251-0 - Design for Residual Stress (DRS) na Manufatura de Engrenagens: Uma Abordagem Indústria 4.0
Beneficiário:Alfredo Rocha de Faria
Modalidade de apoio: Auxílio à Pesquisa - Regular