The DOI matches its Crossref record.
Modified criterions for phase prediction in the multi-component laser-clad coatings and investigations into microstructural evolution/wear resistance of FeCrCoNiAlMox laser-clad coatings
Abstract
Abstract Based on the analyses of a large number of investigations related to laser cladding, the modified criterions in terms of the atomic size difference (δ), the mixing enthalpy ( Δ H m i x ), the mixing entropy ( Δ S mix ) and the specific laser energy (K) had been proposed to precisely predict phase constituents of the multi-component laser-clad coatings fabricated in a typical nonequilibrium state. The criterions were followed: 10.8 ≤ ΔSmix ≤ 16.2 J·K−1·mol−1, −17 ≤ ΔHmix ≤ 7 kJ·mol−1, 0 ≤ δ ≤ 14 and 0.04 ≤ K ≤ 0.14 kJ·mm−2, in which the simple solid solution was obtained in a multi-component alloy coating prepared by laser cladding. Among them, δ as the most important criterion was double that proposed in the previous studies, K as a new criterion was first proposed. Moreover, FeCrCoAlNiMox (x = 0.25, 0.75, 1.00, 1.25 and 1.50) high-entropy alloy (HEA) coatings were synthesized on 45# steel substrates by laser cladding, and the investigations into the effect of Mo on dilution rates, macro morphologies, microstructures and mechanical properties (microhardness and wear resistance) of the coatings were carried out. Results showed that the dilution rates of the coatings presented the increasing tendency with the increase in x. The coatings with x = 0.75/1.00 were composed of the single solid solution with a BCC structure. Besides the solid solution, an intermetallic compound rich in Fe and Mo (CrFeNiMo) was also formed in the other three coating with x = 0.25/1.25/1.50. A model was established to estimate the content of each component in the coatings, based on which Δ S mix , Δ H m i x and δ were further calculated. The calculated results of the four parameters ( δ , Δ H m i x , Δ S mix and K) in the five coatings confirmed the validity of the above criterions. With the increasing in x, the average microhardness of the coatings (660, 664, 706, 681 and 642 HV0.2) was first increased and then decreased. The maximum value was obtained in the coating with x = 1.00, which was improved about 3.5 times when compared with that of the substrate (about 200 HV0.2). The average friction coefficient (0.514, 0.462, 0.443, 0.494 and 0.503), wear volumes (0.281, 0.154, 0.119, 0.177 and 0.254 mm3) and wear rates (8.29, 5.64, 4.41, 6.28, and 7.43 mm3·N−1·m−1) of the coatings also confirmed that the coating with x = 1.00 exhibited the optimum wear resistance among the five coatings, which were significantly improved when compared those of the substrate (0.579, 0.34 1 mm3 and 8.42 mm3·N−1·m−1).
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
Recent research and development status of laser cladding: A review
Zhu, L., Xue, P., Lan, Q., Meng, G., Ren, Y., Yang, Z., Xu, P., & Liu, Z. (2021) · Optics & Laser Technology · doi:10.1016/j.optlastec.2021.106915 · Cited by 895
Accelerating materials discovery using machine learning
Juan, Y., Dai, Y., Yang, Y., & Zhang, J. (2021) · Journal of Materials Science & Technology · doi:10.1016/j.jmst.2020.12.010 · Cited by 240
Self-citation
Metadata
- Authors
- Juan, Y. F., Li, J., Jiang, Y. Q., Jia, W. L., & Lu, Z. J.
- Venue
- Applied Surface Science
- Publisher
- Elsevier BV
- Published
- 2019-01
- Volume
- 465
- Pages
- 700-714
- ISSN
- 0169-4332 (ISSN-L)
- OpenAlex
- W2892567057
- Cited by
- 179
- References
- 0
- FWCI
- 9.11
- 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: Modified criterions for phase prediction in the multi-component laser-clad coatings and investigations into microstructural evolution/wear resistance of FeCrCoNiAlMox laser-clad coatings. https://app.cochat.ai/papers/10.1016/j.apsusc.2018.08.264
- The paper
- Juan, Y. F., Li, J., Jiang, Y. Q., Jia, W. L., & Lu, Z. J. (2019). Modified criterions for phase prediction in the multi-component laser-clad coatings and investigations into microstructural evolution/wear resistance of FeCrCoNiAlMox laser-clad coatings. Applied Surface Science. https://doi.org/10.1016/j.apsusc.2018.08.264
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.