Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/118048
| DC Field | Value | Language |
|---|---|---|
| dc.contributor | Department of Industrial and Systems Engineering | - |
| dc.creator | Ye, T | - |
| dc.creator | Feng, Z | - |
| dc.creator | Li, Y | - |
| dc.date.accessioned | 2026-03-12T01:03:18Z | - |
| dc.date.available | 2026-03-12T01:03:18Z | - |
| dc.identifier.issn | 0263-8231 | - |
| dc.identifier.uri | http://hdl.handle.net/10397/118048 | - |
| dc.language.iso | en | en_US |
| dc.publisher | Elsevier Ltd | en_US |
| dc.rights | © 2026 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY license ( http://creativecommons.org/licenses/by/4.0/ ). | en_US |
| dc.rights | The following publication Ye, T., Feng, Z., & Li, Y. (2026). Compact neural network-enhanced synthesis of a novel decoupled 2-DOF tilt stage based on graded auxetic and contracting honeycomb. Thin-Walled Structures, 224, 114697 is available at https://doi.org/10.1016/j.tws.2026.114697. | en_US |
| dc.subject | Attention mechanism | en_US |
| dc.subject | Auxetic metamaterial | en_US |
| dc.subject | Compliant mechanisms | en_US |
| dc.subject | Piezoelectric actuator | en_US |
| dc.subject | Tilt stage | en_US |
| dc.title | Compact neural network-enhanced synthesis of a novel decoupled 2-DOF tilt stage based on graded auxetic and contracting honeycomb | en_US |
| dc.type | Journal/Magazine Article | en_US |
| dc.identifier.volume | 224 | - |
| dc.identifier.doi | 10.1016/j.tws.2026.114697 | - |
| dcterms.abstract | Given the increasing demands for large strokes with low coupling for micro/nanomanipulation, a novel compact tilt stage is proposed based on the graded auxetic metamaterial to provide two degrees-of-freedom (DOFs) rotation motions in this paper. Firstly, graded auxetic and contracting structured honeycombs are designed with parallel combinations to provide amplified displacements driven by piezoelectric stacks, applying the orthogonal layering configuration with spatial distribution to alleviate rotation coupling. Compared with other tilt stages, larger rotation stroke and lower rotation coupling are yielded with compact dimension, attributed to intensive honeycomb structures. Then, the attention mechanism is involved in a compact neural network model to predict boundary conditions of the elliptical integral model, improving accuracy and simplifying derivation. Through sensitivity analysis and parametric optimization, the structural parameters are determined. To validate the effectiveness of design and modeling, the prototype of the proposed 2-DOF tilt stage is fabricated with the volume of 29*29*32 mm3. Experimental results show the rotation strokes of 17.98 and 18.82 mrad, with the coupling ratio of 0.46% and 0.45%, respectively. | - |
| dcterms.abstract | Graphical abstract: [Figure not available: see fulltext.] | - |
| dcterms.accessRights | open access | en_US |
| dcterms.bibliographicCitation | Thin-walled structures, May 2026, v. 224, 114697 | - |
| dcterms.isPartOf | Thin-walled structures | - |
| dcterms.issued | 2026-05 | - |
| dc.identifier.scopus | 2-s2.0-105031263830 | - |
| dc.identifier.eissn | 1879-3223 | - |
| dc.identifier.artn | 114697 | - |
| dc.description.validate | 202603 bcch | - |
| dc.description.oa | Version of Record | en_US |
| dc.identifier.FolderNumber | OA_TA | en_US |
| dc.description.fundingSource | Others | en_US |
| dc.description.fundingText | This research was funded by the Research Impact Fund of Hong Kong (Grant No. R5047-22), National Natural Science Foundation of China (Grant No. 52405034), Hubei Provincial Natural Science Foundation of China (Grant No. 2024AFB126), and Knowledge Innovation Program of Wuhan-Shuguang Project (Grant No. 2023010201020252). | en_US |
| dc.description.pubStatus | Published | en_US |
| dc.description.TA | Elsevier (2026) | en_US |
| dc.description.oaCategory | TA | en_US |
| Appears in Collections: | Journal/Magazine Article | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 1-s2.0-S0263823126002211-main.pdf | 2.67 MB | Adobe PDF | View/Open |
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