The DOI matches its Crossref record; 51 of the 51 references it cites were found in a registry or an index.
Thermal Conductivity of Aluminum Alloys—A Review
Open accessAbstract
Aluminum alloys have been extensively used as heatproof and heat-dissipation components in automotive and communication industries, and the demand for aluminum alloys with higher thermal conductivity is increasing. Therefore, this review focuses on the thermal conductivity of aluminum alloys. First, we formulate the theory of thermal conduction of metals and effective medium theory, and then analyze the effect of alloying elements, secondary phases, and temperature on the thermal conductivity of aluminum alloys. Alloying elements are the most crucial factor, whose species, existing states, and mutual interactions significantly affect the thermal conductivity of aluminum. Alloying elements in a solid solution weaken the thermal conductivity of aluminum more dramatically than those in the precipitated state. The characteristics and morphology of secondary phases also affect thermal conductivity. Temperature also affects thermal conductivity by influencing the thermal conduction of electrons and phonons in aluminum alloys. Furthermore, recent studies on the effects of casting, heat treatment, and AM processes on the thermal conductivity of aluminum alloys are summarized, in which processes mainly affect thermal conductivity by varying existing states of alloying elements and the morphology of secondary phases. These analyses and summaries will further promote the industrial design and development of aluminum alloys with high thermal conductivity.
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
Cites
Additive manufacturing of metals
Herzog, D., Seyda, V., Wycisk, E., & Emmelmann, C. (2016) · Acta Materialia · doi:10.1016/j.actamat.2016.07.019 · Cited by 4,759
Thermal Conductivity of Heterogeneous Two-Component Systems
Hamilton, R. L., & Crosser, O. K. (1962) · Industrial & Engineering Chemistry Fundamentals · doi:10.1021/i160003a005 · Cited by 3,672
A Variational Approach to the Theory of the Effective Magnetic Permeability of Multiphase Materials
Hashin, Z., & Shtrikman, S. (1962) · Journal of Applied Physics · doi:10.1063/1.1728579 · Cited by 3,267
Metal Fabrication by Additive Manufacturing Using Laser and Electron Beam Melting Technologies
Murr, L. E., Gaytan, S. M., Ramirez, D. A., Martinez, E., Hernandez, J., Amato, K. N., Shindo, P. W., Medina, F. R., & Wicker, R. B. (2012) · Journal of Materials Science & Technology · doi:10.1016/s1005-0302(12)60016-4 · Cited by 1,686
Thermal Conductivity of Silicon and Germanium from 3°K to the Melting Point
Glassbrenner, C. J., & Slack, G. A. (1964) · Physical Review · doi:10.1103/physrev.134.a1058 · Cited by 1,652
Ziman, J. M. (2001) · Oxford University Press eBooks · doi:10.1093/acprof:oso/9780198507796.001.0001 · Cited by 1,179
Brandl, E., Heckenberger, U., Holzinger, V., & Buchbinder, D. (2012) · Materials & Design · doi:10.1016/j.matdes.2011.07.067 · Cited by 1,151
Thermal Conductivity of the Elements
Ho, C. Y., Powell, R. W., & Liley, P. E. (1972) · Journal of Physical and Chemical Reference Data · doi:10.1063/1.3253100 · Cited by 908
Recent development in aluminium for automotive applications
HIRSCH, J. (2014) · Transactions of Nonferrous Metals Society of China · doi:10.1016/s1003-6326(14)63305-7 · Cited by 833
Prashanth, K. G., Scudino, S., Klauss, H. J., Surreddi, K. B., Löber, L., Wang, Z., Chaubey, A. K., Kühn, U., & Eckert, J. (2014) · Materials Science and Engineering: A · doi:10.1016/j.msea.2013.10.023 · Cited by 803
Metadata
- Authors
- Zhang, A., & Li, Y.
- Venue
- Materials
- Publisher
- MDPI AG
- Published
- 2023-04-08
- Volume
- 16
- Issue
- 8
- Pages
- 2972
- ISSN
- 1996-1944 (ISSN-L)
- OpenAlex
- W4363648076
- Cited by
- 291
- References
- 51
- FWCI
- 35.73
- Type
- journal article
- Language
- en
- Open access
- gold
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: Thermal Conductivity of Aluminum Alloys—A Review. https://app.cochat.ai/papers/10.3390/ma16082972
- The paper
- Zhang, A., & Li, Y. (2023). Thermal Conductivity of Aluminum Alloys—A Review. Materials. https://doi.org/10.3390/ma16082972
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.