The DOI matches its Crossref record.
Multi‐Principal‐Element Alloys with Improved Oxidation and Wear Resistance for Thermal Spray Coating
Abstract
Multi‐principal‐element alloy coatings of Al‐Si alloys were prepared by a plasma spray method. They not only exhibited a good oxidation resistance up to 1000 °C, but also possessed an excellent abrasive wear resistance approximately two times higher than those of SUJ2 and SKD61. Moreover, they displayed a high temperature precipitation hardening phenomenon up to 1100 °C which is novel and seldom found in conventional alloys.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
Yeh, J. ‐., Chen, S. ‐., Lin, S. ‐., Gan, J. ‐., Chin, T. ‐., Shun, T. ‐., Tsau, C. ‐., & Chang, S. ‐. (2004) · Advanced Engineering Materials · doi:10.1002/adem.200300567 · Cited by 15,281
Self-citationGeorge, E. P., Raabe, D., & Ritchie, R. O. (2019) · Nature Reviews Materials · doi:10.1038/s41578-019-0121-4 · Cited by 5,047
Oxidation behavior of arc melted AlCoCrFeNi multi-component high-entropy alloys
Butler, T. M., & Weaver, M. L. (2016) · Journal of Alloys and Compounds · doi:10.1016/j.jallcom.2016.02.257 · Cited by 470
The structure and properties of high-entropy alloys and nitride coatings based on them
Pogrebnjak, A. D., Bagdasaryan, A. A., Yakushchenko, I. V., & Beresnev, V. M. (2014) · Russian Chemical Reviews · doi:10.1070/rc2014v083n11abeh004407 · Cited by 320
Alloying behavior, microstructure and mechanical properties in a FeNiCrCo0.3Al0.7 high entropy alloy
Chen, W., Fu, Z., Fang, S., Xiao, H., & Zhu, D. (2013) · Materials & Design · doi:10.1016/j.matdes.2013.04.061 · Cited by 255
Metadata
- Authors
- Huang, P. ‐., Yeh, J. ‐., Shun, T. ‐., & Chen, S. ‐.
- Venue
- Advanced Engineering Materials
- Publisher
- Wiley
- Published
- 2004-02-05
- Volume
- 6
- Issue
- 1-2
- Pages
- 74-78
- ISSN
- 1438-1656 (ISSN-L)
- 1527-2648
- OpenAlex
- W1985939985
- Cited by
- 841
- References
- 0
- FWCI
- 16.94
- Type
- journal article
- Language
- en
- Open access
- closed
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 ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Multi‐Principal‐Element Alloys with Improved Oxidation and Wear Resistance for Thermal Spray Coating. https://app.cochat.ai/papers/10.1002/adem.200300507
- The paper
- Huang, P. ‐., Yeh, J. ‐., Shun, T. ‐., & Chen, S. ‐. (2004). Multi‐Principal‐Element Alloys with Improved Oxidation and Wear Resistance for Thermal Spray Coating. Advanced Engineering Materials. https://doi.org/10.1002/adem.200300507
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.
