Predictive design of tactile friction for micro/nanostructured haptic surfaces
Abstract Design of micro/nanotextured consumer product surfaces presents the opportunity to enrich tactile experiences and enhance the capabilities of haptic devices, enabling rich human-object interactions through the passive or active control of finger friction. The absence of a comprehensive mode...
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2025-01-01
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| Series: | Communications Materials |
| Online Access: | https://doi.org/10.1038/s43246-024-00724-9 |
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| _version_ | 1841559222853042176 |
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| author | Yuan Ma Xinyi Li Xuezhi Ma Changhyun Choi Luke Kruse Shoufeng Lan M. Cynthia Hipwell |
| author_facet | Yuan Ma Xinyi Li Xuezhi Ma Changhyun Choi Luke Kruse Shoufeng Lan M. Cynthia Hipwell |
| author_sort | Yuan Ma |
| collection | DOAJ |
| description | Abstract Design of micro/nanotextured consumer product surfaces presents the opportunity to enrich tactile experiences and enhance the capabilities of haptic devices, enabling rich human-object interactions through the passive or active control of finger friction. The absence of a comprehensive model that can holistically represent the underlying physics at finger-material interface, however, inhibits reliable prediction of finger friction. Here, we develop a model for micro/nanostructured touch interfaces, accounting for contact mechanics, capillaries, electrostatic fields, and their mutual interactions. We experimentally validate this model and apply it to predicting the friction and adhesion of microparticle-coated plastic films for food packaging, and designing surface structures for electroadhesive surfaces to achieve both stronger effects and lower variability — essential features for high-volume consumer electronics. Our model has wide applicability in predictive design of micro/nanostructured surfaces with diverse haptic functionalities. |
| format | Article |
| id | doaj-art-811798ac329847af9ae3463c00d65691 |
| institution | Kabale University |
| issn | 2662-4443 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Communications Materials |
| spelling | doaj-art-811798ac329847af9ae3463c00d656912025-01-05T12:41:39ZengNature PortfolioCommunications Materials2662-44432025-01-016111010.1038/s43246-024-00724-9Predictive design of tactile friction for micro/nanostructured haptic surfacesYuan Ma0Xinyi Li1Xuezhi Ma2Changhyun Choi3Luke Kruse4Shoufeng Lan5M. Cynthia Hipwell6Department of Mechanical Engineering, Texas A&M UniversityDepartment of Mechanical Engineering, Texas A&M UniversityDepartment of Mechanical Engineering, Texas A&M UniversityDepartment of Mechanical Engineering, Texas A&M UniversityDepartment of Mechanical Engineering, Texas A&M UniversityDepartment of Mechanical Engineering, Texas A&M UniversityDepartment of Mechanical Engineering, Texas A&M UniversityAbstract Design of micro/nanotextured consumer product surfaces presents the opportunity to enrich tactile experiences and enhance the capabilities of haptic devices, enabling rich human-object interactions through the passive or active control of finger friction. The absence of a comprehensive model that can holistically represent the underlying physics at finger-material interface, however, inhibits reliable prediction of finger friction. Here, we develop a model for micro/nanostructured touch interfaces, accounting for contact mechanics, capillaries, electrostatic fields, and their mutual interactions. We experimentally validate this model and apply it to predicting the friction and adhesion of microparticle-coated plastic films for food packaging, and designing surface structures for electroadhesive surfaces to achieve both stronger effects and lower variability — essential features for high-volume consumer electronics. Our model has wide applicability in predictive design of micro/nanostructured surfaces with diverse haptic functionalities.https://doi.org/10.1038/s43246-024-00724-9 |
| spellingShingle | Yuan Ma Xinyi Li Xuezhi Ma Changhyun Choi Luke Kruse Shoufeng Lan M. Cynthia Hipwell Predictive design of tactile friction for micro/nanostructured haptic surfaces Communications Materials |
| title | Predictive design of tactile friction for micro/nanostructured haptic surfaces |
| title_full | Predictive design of tactile friction for micro/nanostructured haptic surfaces |
| title_fullStr | Predictive design of tactile friction for micro/nanostructured haptic surfaces |
| title_full_unstemmed | Predictive design of tactile friction for micro/nanostructured haptic surfaces |
| title_short | Predictive design of tactile friction for micro/nanostructured haptic surfaces |
| title_sort | predictive design of tactile friction for micro nanostructured haptic surfaces |
| url | https://doi.org/10.1038/s43246-024-00724-9 |
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