Bibliographic Details
| Title: |
Quantitative Lattice Design Process Utilizing Vector Fields. |
| Authors: |
Souk, Aleksandr1 aleksandr.souk@nasa.gov, Pilz, Evan2, Clark, Gregory1, Simske, Steven3, Stephen, Mark1, Guay, Alec2, Eden, Chance4, Rivera, William1, Marinus, Scott5 |
| Source: |
Journal of Imaging Science & Technology. Mar/Apr2026, Vol. 70 Issue 2, p1-13. 13p. |
| Subjects: |
Metamaterials, Unit cell, Vector fields, Thermal resistance, Aluminum alloys |
| Abstract: |
Selecting lattice networks to achieve specific tailored material properties has traditionally been a daunting task. Unit cell selection is a "heuristic-based" methodology, which is time-consuming and rarely leads to an optimal solution. A new approach to metamaterial design methodology encompassing quantitative unit cell selection and optimization that is based on baseline geometry is presented. To achieve this new design roadmap, a real-world case is used for utilizing metamaterials to design an optical bench from Aluminum 6061 T6 equivalent (Al6061 RAM2), achieving 2-micron surface deformation and a 10% mass penalty relative to Beryllium I-220H of diametrical surface-level deformation. The primary goal is to design specific beryllium-like mechanical properties without the added manufacturing challenges, lead time, and cost of Beryllium I-220H. Quantitative lattice selection methodology is considered in which a lattice network design is developed to reduce the structure weight while still maintaining overall resistance to deformation when a thermal load is applied to the optical bench. The result is a quantitative design process that can produce metamaterial geometry tailored to specific material properties in less than 100 days including manufacturing. [ABSTRACT FROM AUTHOR] |
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| Database: |
Engineering Source |