PSI - Issue 38

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ScienceDirect

Procedia Structural Integrity 38 (2022) 4–11 Structural Integrity Procedia 00 (2021) 000–000 Structural Integrity Procedia 00 (2021) 000–000

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© 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 Fatigue Design 2021 Organizers © 2021 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (https: // reativecommons.org / licenses / by-nc-nd / 4.0) Peer-review under responsibility f the scientific ommittee of h Fatigue Design 2021 Organizers . Keywords: microstructure; structure-property relationships; pores; additive manufacturing; crystal plasticity Abstract The innovation of new or improved products fabricated from additive manufacturing processes with desired properties depends on a multitude of trials as stated by the National Science and Technology Council (2011). Therefore, a systematic approach is essential to accelerate materials development. This can be realised by developing systematic materials knowledge in the form of process structure-property relationships. In this envisioned framework, the present work aims to derive the structure-property linkages of additively manufactured Ti-6Al-4V alloy. The main focus is to investigate the influence of potential defects, in the form of pores, inherited from the fabrication process on the fatigue properties. The complicated polycrystalline microstructure, including porosity at a microscale, is obtained by processing light microscopy and x-ray computed tomography measurements. A detailed statistical analysis is performed to obtain a low-dimensional representation of the structure. Based on these statistical measures, a suitable reconstruction algorithm is developed to create pore distributions that are incorporated into synthetic statistical volume elements (SVEs) generated from DREAM.3D by Groeber and Jackson (2014). Using these SVEs, microscale crystal plasticity simulations in DAMASK, see Roters et al. (2019), are performed to obtain the material properties such as yield strength and fatigue indicator parameters (FIPs). A detailed numerical analysis is carried out to study the influence of pore statistics such as size distribution or porosity fraction. Data analysis is carried out to rank-order the SVEs based on FIPs. Furthermore, a comparison with Murakami’s empirical square root area concept is made. © 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 Fatigue Design 2021 Organizers . Keywords: microstructure; structure-property relationships; pores; additive manufacturing; crystal plasticity Fatigue Design 2021, 9th Edition of the International Conference on Fatigue Design Experimental-numerical analysis of microstructure-property linkages for additively manufactured materials Alexander Raßlo ff a , Paul Schulz b , Robert Ku¨hne c , Marreddy Ambati a , Ilja Koch b,e , Andre´ T. Zeuner c , Maik Gude b,d,e , Martina Zimmermann c , Markus Ka¨stner a,d,e, ∗ a Institute of Solid Mechanics, TU Dresden, George-Ba¨hr-Straße 3c, 01069 Dresden, Germany b Institute of Lightweight Engineering and Polymer Technology, TU Dresden, Holbeintraße 3, 01307 Dresden, Germany c Materials Characterization and Testing, Fraunhofer Institute for Material and Beam Technology, Winterbergstraße 28, 01277 Dresden, Germany d Dresden Center for Computational Materials Science, TU Dresden, Dresden, Germany e Dresden Center for Fatigue and Reliability, TU Dresden, Dresden, Germany Abstract The innovation of new or improved products fabricated from additive manufacturing processes with desired properties depends on a multitude of trials as stated by the National Science and Technology Council (2011). Therefore, a systematic approach is essential to accelerate materials development. This can be realised by developing systematic materials knowledge in the form of process structure-property relationships. In this envisioned framework, the present work aims to derive the structure-property linkages of additively manufactured Ti-6Al-4V alloy. The main focus is to investigate the influence of potential defects, in the form of pores, inherited from the fabrication process on the fatigue properties. The complicated polycrystalline microstructure, including porosity at a microscale, is obtained by processing light microscopy and x-ray computed tomography measurements. A detailed statistical analysis is performed to obtain a low-dimensional representation of the structure. Based on these statistical measures, a suitable reconstruction algorithm is developed to create pore distributions that are incorporated into synthetic statistical volume elements (SVEs) generated from DREAM.3D by Groeber and Jackson (2014). Using these SVEs, microscale crystal plasticity simulations in DAMASK, see Roters et al. (2019), are performed to obtain the material properties such as yield strength and fatigue indicator parameters (FIPs). A detailed numerical analysis is carried out to study the influence of pore statistics such as size distribution or porosity fraction. Data analysis is carried out to rank-order the SVEs based on FIPs. Furthermore, a comparison with Murakami’s empirical square root area concept is made. Fatigue Design 2021, 9th Edition of the International Conference on Fatigue Design Experimental-numerical analysis of microstructure-property linkages for additively manufactured materials Alexander Raßlo ff a , Paul Schulz b , Robert Ku¨hne c , Marreddy Ambati a , Ilja Koch b,e , Andre´ T. Zeuner c , Maik Gude b,d,e , Martina Zimmermann c , Markus Ka¨stner a,d,e, ∗ a Institute of Solid Mechanics, TU Dresden, George-Ba¨hr-Straße 3c, 01069 Dresden, Germany b Institute of Lightweight Engineering and Polymer Technology, TU Dresden, Holbeintraße 3, 01307 Dresden, Germany c Materials Characterization and Testing, Fraunhofer Institute for Material and Beam Technology, Winterbergstraße 28, 01277 Dresden, Germany d Dresden Center for Computational Materials Science, TU Dresden, Dresden, Germany e Dresden Center for Fatigue and Reliability, TU Dresden, Dresden, Germany

∗ Corresponding author. Tel.: + 49 351 463-43065 ; fax: + 49 351 463-37061. E-mail address: Markus.Kaestner@tu-dresden.de ∗ Corresponding author. Tel.: + 49 351 463-43065 ; fax: + 49 351 463-37061. E-mail address: Markus.Kaestner@tu-dresden.de

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 Fatigue Design 2021 Organizers 10.1016/j.prostr.2022.03.002 2210-7843 © 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 responsi bility of the scientific committee of Fatigue Design 2021 Organizers . 2210-7843 © 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 responsi bility of the scientific committee of the Fatigue Design 2021 Organizers .