Quantitative Lattice Design Process Utilizing Vector Fields.
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| 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] |
| Copyright of Journal of Imaging Science & Technology is the property of International Society for Imaging Science & Technology and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 193974748 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Quantitative Lattice Design Process Utilizing Vector Fields. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Souk%2C+Aleksandr%22">Souk, Aleksandr</searchLink><relatesTo>1</relatesTo><i> aleksandr.souk@nasa.gov</i><br /><searchLink fieldCode="AR" term="%22Pilz%2C+Evan%22">Pilz, Evan</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AR" term="%22Clark%2C+Gregory%22">Clark, Gregory</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Simske%2C+Steven%22">Simske, Steven</searchLink><relatesTo>3</relatesTo><br /><searchLink fieldCode="AR" term="%22Stephen%2C+Mark%22">Stephen, Mark</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Guay%2C+Alec%22">Guay, Alec</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AR" term="%22Eden%2C+Chance%22">Eden, Chance</searchLink><relatesTo>4</relatesTo><br /><searchLink fieldCode="AR" term="%22Rivera%2C+William%22">Rivera, William</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Marinus%2C+Scott%22">Marinus, Scott</searchLink><relatesTo>5</relatesTo> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Journal+of+Imaging+Science+%26+Technology%22">Journal of Imaging Science & Technology</searchLink>. Mar/Apr2026, Vol. 70 Issue 2, p1-13. 13p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Metamaterials%22">Metamaterials</searchLink><br /><searchLink fieldCode="DE" term="%22Unit+cell%22">Unit cell</searchLink><br /><searchLink fieldCode="DE" term="%22Vector+fields%22">Vector fields</searchLink><br /><searchLink fieldCode="DE" term="%22Thermal+resistance%22">Thermal resistance</searchLink><br /><searchLink fieldCode="DE" term="%22Aluminum+alloys%22">Aluminum alloys</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: 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] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Journal of Imaging Science & Technology is the property of International Society for Imaging Science & Technology and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.2352/J.ImagingSci.Technol.2026.70.2.020506 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 13 StartPage: 1 Subjects: – SubjectFull: Metamaterials Type: general – SubjectFull: Unit cell Type: general – SubjectFull: Vector fields Type: general – SubjectFull: Thermal resistance Type: general – SubjectFull: Aluminum alloys Type: general Titles: – TitleFull: Quantitative Lattice Design Process Utilizing Vector Fields. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Souk, Aleksandr – PersonEntity: Name: NameFull: Pilz, Evan – PersonEntity: Name: NameFull: Clark, Gregory – PersonEntity: Name: NameFull: Simske, Steven – PersonEntity: Name: NameFull: Stephen, Mark – PersonEntity: Name: NameFull: Guay, Alec – PersonEntity: Name: NameFull: Eden, Chance – PersonEntity: Name: NameFull: Rivera, William – PersonEntity: Name: NameFull: Marinus, Scott IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 03 Text: Mar/Apr2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 10623701 Numbering: – Type: volume Value: 70 – Type: issue Value: 2 Titles: – TitleFull: Journal of Imaging Science & Technology Type: main |
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