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Influences of pin profile and rotational speed of the tool on the formation of friction stir processing zone in AA2219 aluminium alloy
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“However, the occurrence of defects at high speed ratio, despite the high heat input, is due to the excessive turbulent flow of materials in the stir zone [48][49][50].”
From Theoretical and experimental studies on fabrication of two-layer aluminum−copper pipe by friction stir additive manufacturing (2021) · cites this paper as [48]
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Metadata
- Authors
- Elangovan, K., & Balasubramanian, V.
- Affiliations
- Annamalai University (IN)
- Corresponding author
- Balasubramanian, V.
- Venue
- Materials Science and Engineering: A
- Publisher
- Elsevier BV
- Published
- 2007-06
- Volume
- 459
- Issue
- 1-2
- Pages
- 7-18
- ISSN
- 0921-5093 (ISSN-L)
- OpenAlex
- W2080921904
- Cited by
- 446
- References
- 7
- Citations by year
- 2026: 12 · 2025: 19 · 2024: 23 · 2023: 33 · 2022: 35 · 2021: 33 · 2020: 31 · 2019: 25 · 2018: 36 · 2017: 21 · 2016: 15 · 2015: 27 · 2014: 30 · 2013: 20 · 2012: 18
- FWCI
- 41.24
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- www.elsevier.com/tdm/userlicense/1.0/ (tdm)
- Locations
- Materials Science and Engineering A (publishedVersion)
- Topics
- Physical Sciences › Engineering › Mechanical Engineering › Advanced Welding Techniques Analysis
- Physical Sciences › Materials Science › Metals and Alloys › Aluminum Alloy Microstructure Properties
- Physical Sciences › Engineering › Mechanical Engineering › Welding Techniques and Residual Stresses
- Keywords
- friction stir processing, friction stir welding, 2219 aluminum alloy, tool pin profile, spindle speed, solid-state joining
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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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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.
