Evaluation of Powder Layer Density for the Selective Laser Melting (SLM) Process
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- Choi Joon-Phil
- Department of Mining and Materials Engineering, McGill University
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- Shin Gi-Hun
- Powder Technology Department, Korea Institute of Materials Science (KIMS) Department of Materials Science and Engineering, University of Ulsan
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- Lee Hak-Sung
- Materials Modeling and Characterization Department, Korea Institute of Materials Science (KIMS) Metal 3D Printing Convergence Research Team, Korea Institute of Machinery & Materials (KIMM)
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- Yang Dong-Yeol
- Powder Technology Department, Korea Institute of Materials Science (KIMS) Metal 3D Printing Convergence Research Team, Korea Institute of Machinery & Materials (KIMM)
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- Yang Sangsun
- Powder Technology Department, Korea Institute of Materials Science (KIMS)
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- Lee Chang-Woo
- Metal 3D Printing Convergence Research Team, Korea Institute of Machinery & Materials (KIMM)
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- Brochu Mathieu
- Department of Mining and Materials Engineering, McGill University
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- Yu Ji-Hun
- Powder Technology Department, Korea Institute of Materials Science (KIMS) Metal 3D Printing Convergence Research Team, Korea Institute of Machinery & Materials (KIMM)
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Abstract
<p>In selective laser melting (SLM), powder properties like size, distribution, shape, flow, and packing have effects on the process and the final parts quality, and several standards and methods are available for representing these characteristics. However, these are not enough to explain the actual packing state of the particles across the powder bed substrate. This work reports a novel method for evaluation of the powder layer density in the SLM process. The results show that the powder characteristics measured by conventional methods are not always appropriate for determining whether a powder material is suitable for SLM.</p>
Journal
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- MATERIALS TRANSACTIONS
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MATERIALS TRANSACTIONS 58 (2), 294-297, 2017
The Japan Institute of Metals and Materials
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Details 詳細情報について
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- CRID
- 1390001204253248128
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- NII Article ID
- 130005297177
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- NII Book ID
- AA1151294X
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- ISSN
- 13475320
- 13459678
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- NDL BIB ID
- 027872097
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- Text Lang
- en
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- Data Source
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- JaLC
- NDL
- Crossref
- CiNii Articles
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- Abstract License Flag
- Disallowed