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The DOI matches its Crossref record, with a small difference in title or year; 17 of the 19 references it cites were found in a registry or an index.

Selective Laser Melting

Nakano, Takayoshi·2021·Multi-dimensional Additive Manufacturing

Overview

Integrity signals

Registry

Crossref · 10.1007/978-981-15-7910-3_1

Cites

17 of 17 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Verification

Claims the paper makes

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Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Citations

Cites

Show all 19 references

Research works printed but not linked: 10

  1. M. Ohtsu, T. Tadokoro, Introduction to Optics: Know Your Properties of Light, Optical Technology Series 1 (Asakura Shoten, 2008), pp. 1–214.
  2. Laser Platform Association, An Introduction to Laser Manufacturing: From the Basics to Equipment Installation (Sanpo Publications, 2010), pp. 1–159.
  3. E. Schubert, I. Zerner, S. Sepold, New possibilities for joining by using high power dipole lasers. Proc. ICALEO 85G, 111–120 (1998)
  4. Y. Marutani, S. Hayano, S. Imanaka, Documents on Layered Manufacturing Technology (Optnics Co., Ltd, 2002), pp. 1–181
  5. Y. Marutani, S. Hayano, 3D Printers: Toward Sustainable Development of AM Technology (Optnics Co., Ltd, 2014), pp. 1–208
  6. N. Nomura, Creating metal objects for medical use via selective laser melting. J. Japanese Soc. Biomater. 31(4), 220–227 (2013).
  7. TRAFAM, An Introduction to Metal Layered Manufacturing Technologies (Wythup Co. Ltd., 2016), pp. 1–167.
  8. T. Nakano, Manufacturing using 3D printers: emphasizing the importance of material and structural parameters. Funct. Mater. 34(9), 5–11 (2014)
  9. T. Nakano, Additive manufacturing technology for developing metallic biomaterials, in Metals for Biomedical Devices, ed by M. Niinomi, 2nd edn (Woodhead Publishing (Elsevier), 2019), pp. 121–125. ISBN: 978–0–08–102666–33.8
  10. Dongdong Gu, Laser Additive Manufacturing of High-Performance Materials (Springer, 2015), pp. 1–310.

Cited by

See all 8

Metadata

Authors
Nakano, T.
Affiliations
The University of Osaka (JP)
Corresponding author
Nakano, Takayoshi
Venue
Multi-dimensional Additive Manufacturing
Published
2020-11-18
Pages
3-26
OpenAlex
W3101146963
Cited by
7
References
19
Citations by year
2025: 3 · 2024: 2 · 2022: 2
FWCI
1.63
Type
book chapter
Language
en
Open access
closed
Licence
Locations
Springer eBooks (publishedVersion)
Topics
  • Physical Sciences › Engineering › Mechanical Engineering › Additive Manufacturing Materials and Processes
  • Physical Sciences › Engineering › Industrial and Manufacturing Engineering › Additive Manufacturing and 3D Printing Technologies
  • Physical Sciences › Engineering › Industrial and Manufacturing Engineering › Laser Material Processing Techniques
Keywords
laser powder bed fusion, additive manufacturing, laser fabrication, laser quenching, microstructure modification

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

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How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Selective Laser Melting. https://app.cochat.ai/papers/10.1007/978-981-15-7910-3_1
The paper
Nakano, T. (2021). Selective Laser Melting. Multi-dimensional Additive Manufacturing. https://doi.org/10.1007/978-981-15-7910-3_1

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.