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Material Characterisation and Computational Thermal Modelling of Electron Beam Powder Bed Fusion Additive Manufacturing of Ti2448 Titanium Alloy.
Wang, Qiushuang; Zhang, Wenyou; Li, Shujun; Tong, Mingming; Hou, Wentao; Wang, Hao; Hao, Yulin; Harrison, Noel M; Yang, Rui.
Afiliação
  • Wang Q; Institute of Metal Research, Chinese Academy of Sciences, Shenyang 110016, China.
  • Zhang W; School of Materials Science and Engineering, University of Science and Technology of China, Shenyang 110016, China.
  • Li S; I-Form, SFI Research Centre for Advanced Manufacturing, Ireland.
  • Tong M; Mechanical Engineering, School of Engineering, College of Science and Engineering, NUI Galway, H91 TK33 Galway, Ireland.
  • Hou W; Ryan Institute for Environmental, Marine and Energy Research, NUI Galway, H91 TK33 Galway, Ireland.
  • Wang H; Institute of Metal Research, Chinese Academy of Sciences, Shenyang 110016, China.
  • Hao Y; I-Form, SFI Research Centre for Advanced Manufacturing, Ireland.
  • Harrison NM; Mechanical Engineering, School of Engineering, College of Science and Engineering, NUI Galway, H91 TK33 Galway, Ireland.
  • Yang R; Ryan Institute for Environmental, Marine and Energy Research, NUI Galway, H91 TK33 Galway, Ireland.
Materials (Basel) ; 14(23)2021 Nov 30.
Article em En | MEDLINE | ID: mdl-34885511
ABSTRACT
Ti-24Nb-4Zr-8Sn (Ti2448) is a metastable ß-type titanium alloy developed for biomedical applications. In this work, cylindrical samples of Ti2448 alloy have been successfully manufactured by using the electron beam powder bed fusion (PBF-EB) technique. The thermal history and microstructure of manufactured samples are characterised using computational and experimental methods. To analyse the influence of thermal history on the microstructure of materials, the thermal process of PBF-EB has been computationally predicted using the layer-by-layer modelling method. The microstructure of the Ti2448 alloy mainly includes ß phase and a small amount of α″ phase. By comparing the experimental results of material microstructure with the computational modelling results of material thermal history, it can be seen that aging time and aging temperature lead to the variation of α″ phase content in manufactured samples. The computational modelling proves to be an effective tool that can help experimentalists to understand the influence of macroscopic processes on material microstructural evolution and hence potentially optimise the process parameters of PBF-EB to eliminate or otherwise modify such microstructural gradients.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Materials (Basel) Ano de publicação: 2021 Tipo de documento: Article País de afiliação: China

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Materials (Basel) Ano de publicação: 2021 Tipo de documento: Article País de afiliação: China