The use of nano-computed tomography (nano-CT) in non-destructive testing of metallic parts made by laser powder-bed fusion additive manufacturing-Reference-Cited by-同舟云学术

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The use of nano-computed tomography (nano-CT) in non-destructive testing of metallic parts made by laser powder-bed fusion additive manufacturing

Published:2018-07-30 Issue:9-12 Volume:98 Page:3147-3153
ISSN:0268-3768
Container-title:The International Journal of Advanced Manufacturing Technology
language:en
Short-container-title:Int J Adv Manuf Technol

Author:

Salarian Mehrnaz,Toyserkani Ehsan

Funder

Federal Economic Development Agency for Southern Ontario

Ontario Research Fund-Research Excellence

Publisher

Springer Science and Business Media LLC

Subject

Industrial and Manufacturing Engineering,Computer Science Applications,Mechanical Engineering,Software,Control and Systems Engineering

Link

http://link.springer.com/article/10.1007/s00170-018-2421-z/fulltext.html

Reference18 articles.

1. Fayazfar H, Salarian M, Rogalsky A, Sarker D, Russo P, Paserin V, Toyserkani E (2018) A critical review of powder-based additive manufacturing of ferrous alloys: process parameters, microstructure and mechanical properties. Mater Des 144:98–128

2. Carlton HD, Haboub A, Gallegos GF, Parkinson DY, MacDowell AA (2016) Damage evolution and failure mechanisms in additively manufactured stainless steel. Mater Sci Eng A 651:406–414

3. Schneider P, Stauber M, Voide R, Stampanoni M, Donahue LR, Müller R (2007) Ultrastructural properties in cortical bone vary greatly in two inbred strains of mice as assessed by synchrotron light based micro- and nano-CT. J Bone Miner Res 22(10):1557–1570

4. Sleutel S, Cnudde V, Masschaele B, Vlassenbroek J, Dierick M, van Hoorebeke L, Jacobs P, de Neve S (2008) Comparison of different nano- and micro-focus X-ray computed tomography set-ups for the visualization of the soil microstructure and soil organic matter. Comput Geosci 34(8):931–938

5. Masad E, Jandhyala VK, Dasgupta N, Somadevan N, Shashidhar N (2002) Characterization of air void distribution in asphalt mixes using X-ray computed tomography. J Mater Civ Eng 14(2):122–129

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1. In-situ monitoring of laser-based powder bed fusion using fringe projection;Additive Manufacturing;2024-06

2. Deep learning based porosity prediction for additively manufactured laser powder-bed fusion parts;Journal of Materials Research and Technology;2023-11

3. Laser powder bed additive manufacturing: A review on the four drivers for an online control;Journal of Manufacturing Processes;2023-10

4. Review of conventional and advanced non-destructive testing techniques for detection and characterization of small-scale defects;Progress in Materials Science;2023-09

5. Heuristic evaluation for progressive additive manufacturing of industrial bending tubes based on reconfigurable transfer learning;Progress in Additive Manufacturing;2023-08-28

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