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Cited by 98Additive Manufacturing Materials and ProcessesAdditive Manufacturing and 3D Printing TechnologiesHigh Temperature Alloys and Creep

A Review on the Processing of Aero-Turbine Blade Using 3D Print Techniques

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Sinha, Ayush, Swain, Biswajit, Behera, Asit, Mallick, Priyabrata, Samal, Saswat Kumar, Vishwanatha, H. M., Behera, Ajit·2022·Journal of Manufacturing and Materials Processing
DOI 10.3390/jmmp6010016
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Abstract

Additive manufacturing (AM) has proven to be the preferred process over traditional processes in a wide range of industries. This review article focused on the progressive development of aero-turbine blades from conventional manufacturing processes to the additive manufacturing process. AM is known as a 3D printing process involving rapid prototyping and a layer-by-layer construction process that can develop a turbine blade with a wide variety of options to modify the turbine blade design and reduce the cost and weight compared to the conventional production mode. This article describes various AM techniques suitable for manufacturing high-temperature turbine blades such as selective laser melting, selective laser sintering, electron beam melting, laser engineering net shaping, and electron beam free form fabrication. The associated parameters of AM such as particle size and shape, powder bed density, residual stresses, porosity, and roughness are discussed here.

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  • The reuse of sintered powder in technologies such as SLS and the scalability of processes like BMD for industrial applications remain critical areas for improvement.

    “Moreover, the reuse of sintered powder in technologies such as SLS and the scalability of processes like BMD for industrial applications remain critical areas for improvement [83,124].”

    From Towards Sustainability in Hydraulic Machinery Manufacturing by 3D Printing (2024) · cites this paper as [124]

    Section 4.1 describes how SLS sinters powder but does not discuss reusing sintered powder. A search for BMD and industrial scalability found no relevant passage; section 4.3 discusses recycling loose powder in EBM instead. The available passages therefore do not address either claimed area for improvement. (LLM, conf=0.76)

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Sorted by citations

Authors
Sinha, A., Swain, B., Behera, A., Mallick, P., Samal, S. K., Vishwanatha, H. M., & Behera, A.
Affiliations
  • National Institute of Technology Rourkela (IN)
  • Manipal Academy of Higher Education (IN)
Corresponding author
  • Behera, Asit
  • Behera, Ajit
ORCID
Venue
Journal of Manufacturing and Materials Processing
Publisher
MDPI AG
Published
2022-01-21
Volume
6
Issue
1
Pages
16
ISSN
2504-4494 (ISSN-L)
DOI
10.3390/jmmp6010016
OpenAlex
W4205734190
Cited by
98
References
0
Citations by year
2026: 20 · 2025: 30 · 2024: 25 · 2023: 16 · 2022: 7
FWCI
7.36
Type
journal article
Language
en
Open access
Licence
Locations
  • Journal of Manufacturing and Materials Processing (publishedVersion, cc-by)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Topics
  • Physical Sciences › Engineering › Mechanical Engineering › Additive Manufacturing Materials and Processes
  • Physical Sciences › Engineering › Automotive Engineering › Additive Manufacturing and 3D Printing Technologies
  • Physical Sciences › Engineering › Mechanical Engineering › High Temperature Alloys and Creep
Keywords
additive manufacturing, 3D printing, laser powder bed fusion, selective laser sintering, electron beam melting, powder bed density, residual stress, porosity, surface roughness, particle size and shape, weight loss

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.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

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