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Composites with extremal thermal expansion coefficients
Abstract
We design three-phase composites having maximum thermal expansion, zero thermal expansion, or negative thermal expansion using a numerical topology optimization method. It is shown that composites with effective negative thermal expansion can be obtained by mixing two phases of positive thermal expansions with a void phase. We also show that there is no mechanistic relationship between negative thermal expansion and negative Poisson’s ratio.
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Cited by
Current and future trends in topology optimization for additive manufacturing
Liu, J., Gaynor, A. T., Chen, S., Kang, Z., Suresh, K., Takezawa, A., Li, L., Kato, J., Tang, J., Wang, C. C. L., et al. (2018) · Structural and Multidisciplinary Optimization · doi:10.1007/s00158-018-1994-3 · Cited by 870
Turner, B. N., & Gold, S. A. (2015) · Rapid Prototyping Journal · doi:10.1108/rpj-02-2013-0017 · Cited by 770
Topology optimization for nano‐photonics
Jensen, J. S., & Sigmund, O. (2011) · Laser & Photonics Reviews · doi:10.1002/lpor.201000014 · Cited by 767
Self-citationTopology optimization of multi-scale structures: a review
Wu, J., Sigmund, O., & Groen, J. P. (2021) · Structural and Multidisciplinary Optimization · doi:10.1007/s00158-021-02881-8 · Cited by 688
Self-citationNegative thermal expansion: a review
Miller, W., Smith, C. W., Mackenzie, D. S., & Evans, K. E. (2009) · Journal of Materials Science · doi:10.1007/s10853-009-3692-4 · Cited by 573
Metadata
- Authors
- Sigmund, O., & Torquato, S.
- Venue
- Applied Physics Letters
- Publisher
- AIP Publishing
- Published
- 1996-11-18
- Volume
- 69
- Issue
- 21
- Pages
- 3203-3205
- ISSN
- 0003-6951 (ISSN-L)
- 1077-3118
- OpenAlex
- W2044746397
- Cited by
- 358
- References
- 0
- FWCI
- 15.83
- Type
- journal article
- Language
- en
- Open access
- closed
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- Sigmund, O., & Torquato, S. (1996). Composites with extremal thermal expansion coefficients. Applied Physics Letters. https://doi.org/10.1063/1.117961
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Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
