PSI - Issue 34

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ScienceDirect

Procedia Structural Integrity 34 (2021) 6–12 Structural Integrity Procedia 00 (2019) 000–000 Structural Integrity Procedia 00 (2019) 000–000

www.elsevier.com / locate / procedia www.elsevier.com / locate / procedia

© 2021 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (https://creativecommons.org/licenses/by-nc-nd/4.0) Peer-review under responsibility of the scientific committee of the Esiam organisers Abstract Additive manufacturing (AM) has been subjected to increased investment by industry and academia alike for its many advantages, including possible component complexity, vast array of processing materials and automation capabilities. However, AM too dis plays unavoidable hindrances, with residual stresses and dimensional distortions among them. Motivated by the need to minimise processing costs, many commercial software packages have been developed with the aim of providing predictions of component’s distortions and residual stresses. The aim of this paper is to evaluate two di ff erent commercially available codes to simulate the printing of two distinct components that di ff er in geometry, material and process parameters by compare the simulation’s output with experimental data. 2020 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http: // creativecommons.org / licenses / by-nc-nd / 4.0 / ) er-review under responsibility of th scientific commit e of the Esiam organisers. Keywords: Additive Manufacturing; Finite Element Method; Residual Stresses; Geometric Distortions Numerical odeling and Prediction of Residual Stresses in AISI 316L and 18Ni300 Steels Produced by Selective Laser elting J. Gil a,b, ∗ , M. Pires a , F. Fiorentin a,b , M. Vaz c , A. Castanhola c , M. Parente a,b , A. de Jesus a,b a Faculty of Engineering of the University of Porto, s / n, R. Dr. Roberto Frias, Porto 4200-465, Portugal b Institute for Science and Innovation in Mechanical and Industrial Engineering, R. Dr. Roberto Frias 400, Porto 4200-465, Portugal c Faculty of Sciences and Technology of the University of Coimbra, Rua S´ılvio Lima, Coimbra 3030-790, Portugal Abstract Additive manufacturing (AM) has been subjected to increased investment by industry and academia alike for its many advantages, including possible component complexity, vast array of processing materials and automation capabilities. However, AM too dis plays unavoidable hindrances, with residual stresses and dimensional distortions among them. Motivated by the need to minimise processing costs, many commercial software packages have been developed with the aim of providing predictions of component’s distortions and residual stresses. The aim of this paper is to evaluate two di ff erent commercially available codes to simulate the printing of two distinct components that di ff er in geometry, material and process parameters by compare the simulation’s output with experimental data. © 2020 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http: // creativecommons.org / licenses / by-nc-nd / 4.0 / ) Peer-review under responsibility of the scientific committee of the Esiam organisers. Keywords: Additive Manufacturing; Finite Element Method; Residual Stresses; Geometric Distortions The second European Conference on the Structural Integrity of Additively Manufactured Materials Numerical Modeling and Prediction of Residual Stresses in AISI 316L and 18Ni300 Steels Produced by Selective Laser Melting J. Gil a,b, ∗ , M. Pires a , F. Fiorentin a,b , M. Vaz c , A. Castanhola c , M. Parente a,b , A. de Jesus a,b a Faculty of Engineering of the University of Porto, s / n, R. Dr. Roberto Frias, Porto 4200-465, Portugal b Institute for Science and Innovation in Mechanical and Industrial Engineering, R. Dr. Roberto Frias 400, Porto 4200-465, Portugal c Faculty of Sciences and Technology of the University of Coimbra, Rua S´ılvio Lima, Coimbra 3030-790, Portugal The second European Conference on the Structural Integrity of Additively Manufactured Materials

1. Introduction 1. Introduction

Metallic additive manufacturing (MAM) is a rapidly expanding manufacturing process whose advantages are plen tiful. Namely, AM is able to deliver complexity for free , which translates to the ability of producing complex compo nents in approximately the same time frame as a simple component of the same volume, as indicated by Zhang et al. (2018); this contrasts with conventional subtractive processes such as machining, where the time-to-build scales with the number of necessary operations. Additionally, it is a versatile process, relinquishing the need for di ff erent tools or cast dies every time a distinct geometry is to be produced - T. Debroy et al. (2017) - and easily automated, as stated by I. Gibson et al. (2014). Metallic additive manufacturing (MAM) is a rapidly expanding manufacturing process whose advantages are plen tiful. Namely, AM is able to deliver complexity for free , which translates to the ability of producing complex compo nents in approximately the same time frame as a simple component of the same volume, as indicated by Zhang et al. (2018); this contrasts with conventional subtractive processes such as machining, where the time-to-build scales with the number of necessary operations. Additionally, it is a versatile process, relinquishing the need for di ff erent tools or cast dies every time a distinct geometry is to be produced - T. Debroy et al. (2017) - and easily automated, as stated by I. Gibson et al. (2014).

∗ J. W. Gil. Tel.: + 351-229-578-710. E-mail address: e-mail: jgil@inegi.up.pt ∗ J. W. Gil. Tel.: + 351-229-578-710. E-mail address: e-mail: jgil@inegi.up.pt

2452-3216 © 2021 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (https://creativecommons.org/licenses/by-nc-nd/4.0) Peer-review under responsibility of the scientific committee of the Esiam organisers 10.1016/j.prostr.2021.12.002 2210-7843 © 2020 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http: // creativecommons.org / licenses / by-nc-nd / 4.0 / ) Peer-review under responsibility of the scientific committe of the Esiam organisers. 2210-7843 © 2020 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http: // creativecommons.org / licenses / by-nc-nd / 4.0 / ) Peer-review under responsibility of the scientific committee of the Esiam organisers.