Mesostructure optimization in multi-material additive manufacturing: a theoretical perspective
As multi-material additive manufacturing technologies mature, a new opportunity for materials science and engineering emerges between the scale of the microstructure and the scale of an engineering component. Here we explore the problem of “mesostructure optimization,” the computational identificati...
| Main Authors: | , , |
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| Other Authors: | |
| Format: | Article |
| Language: | English |
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Springer US
2017
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| Online Access: | http://hdl.handle.net/1721.1/106865 https://orcid.org/0000-0002-7265-3583 https://orcid.org/0000-0001-9856-2682 |
| _version_ | 1826213959307362304 |
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| author | Yu, Hang Z. Cross, Samuel Robert Schuh, Christopher A |
| author2 | Massachusetts Institute of Technology. Department of Materials Science and Engineering |
| author_facet | Massachusetts Institute of Technology. Department of Materials Science and Engineering Yu, Hang Z. Cross, Samuel Robert Schuh, Christopher A |
| author_sort | Yu, Hang Z. |
| collection | MIT |
| description | As multi-material additive manufacturing technologies mature, a new opportunity for materials science and engineering emerges between the scale of the microstructure and the scale of an engineering component. Here we explore the problem of “mesostructure optimization,” the computational identification of preferred point-to-point distributions of material structure and properties. We illustrate the opportunity with two simple example problems for 1D and 2D mesostructure optimization, respectively, namely (1) a functionally graded cylinder that is computationally optimized to redistribute the Hertzian contact stress fields and (2) a thin plate made of digital materials computationally designed to simultaneously maximize bending resistance and minimize total weight. The mechanical performance of materials in these two problems is significantly improved as compared to any monolithic-material counterpart, including a topology-optimized monolith in case (2). These results point to new opportunities for multi-objective performance enhancement in materials. |
| first_indexed | 2024-09-23T15:57:33Z |
| format | Article |
| id | mit-1721.1/106865 |
| institution | Massachusetts Institute of Technology |
| language | English |
| last_indexed | 2024-09-23T15:57:33Z |
| publishDate | 2017 |
| publisher | Springer US |
| record_format | dspace |
| spelling | mit-1721.1/1068652022-09-29T17:20:04Z Mesostructure optimization in multi-material additive manufacturing: a theoretical perspective Yu, Hang Z. Cross, Samuel Robert Schuh, Christopher A Massachusetts Institute of Technology. Department of Materials Science and Engineering Yu, Hang Z. Cross, Samuel Robert Schuh, Christopher A As multi-material additive manufacturing technologies mature, a new opportunity for materials science and engineering emerges between the scale of the microstructure and the scale of an engineering component. Here we explore the problem of “mesostructure optimization,” the computational identification of preferred point-to-point distributions of material structure and properties. We illustrate the opportunity with two simple example problems for 1D and 2D mesostructure optimization, respectively, namely (1) a functionally graded cylinder that is computationally optimized to redistribute the Hertzian contact stress fields and (2) a thin plate made of digital materials computationally designed to simultaneously maximize bending resistance and minimize total weight. The mechanical performance of materials in these two problems is significantly improved as compared to any monolithic-material counterpart, including a topology-optimized monolith in case (2). These results point to new opportunities for multi-objective performance enhancement in materials. National Science Foundation (U.S.) (contract No. CMMI- 1332789) 2017-02-04T00:12:42Z 2017-11-05T05:00:05Z 2017-01 2016-10 2017-01-31T04:32:25Z Article http://purl.org/eprint/type/JournalArticle 0022-2461 1573-4803 http://hdl.handle.net/1721.1/106865 Yu, Hang Z., Samuel R. Cross, and Christopher A. Schuh. “Mesostructure Optimization in Multi-Material Additive Manufacturing: a Theoretical Perspective.” Journal of Materials Science 52, no. 8 (January 11, 2017): 4288–4298. https://orcid.org/0000-0002-7265-3583 https://orcid.org/0000-0001-9856-2682 en http://dx.doi.org/10.1007/s10853-017-0753-y Journal of Materials Science Creative Commons Attribution-Noncommercial-Share Alike http://creativecommons.org/licenses/by-nc-sa/4.0/ Springer Science+Business Media New York application/pdf Springer US Springer US |
| spellingShingle | Yu, Hang Z. Cross, Samuel Robert Schuh, Christopher A Mesostructure optimization in multi-material additive manufacturing: a theoretical perspective |
| title | Mesostructure optimization in multi-material additive manufacturing: a theoretical perspective |
| title_full | Mesostructure optimization in multi-material additive manufacturing: a theoretical perspective |
| title_fullStr | Mesostructure optimization in multi-material additive manufacturing: a theoretical perspective |
| title_full_unstemmed | Mesostructure optimization in multi-material additive manufacturing: a theoretical perspective |
| title_short | Mesostructure optimization in multi-material additive manufacturing: a theoretical perspective |
| title_sort | mesostructure optimization in multi material additive manufacturing a theoretical perspective |
| url | http://hdl.handle.net/1721.1/106865 https://orcid.org/0000-0002-7265-3583 https://orcid.org/0000-0001-9856-2682 |
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