Evolution of recovery force of 4D-printed shape memory cellular material under semi-constrained conditions and its two-way design.
Saved in:
| Title: | Evolution of recovery force of 4D-printed shape memory cellular material under semi-constrained conditions and its two-way design. |
|---|---|
| Authors: | Li, Tengjie1 (AUTHOR), Li, Jiaxing1 (AUTHOR), Wang, Xizhe1 (AUTHOR), Li, Jian1 (AUTHOR) lijian12306@foxmail.com, Chen, Xinfa1 (AUTHOR), Wan, Qiang1 (AUTHOR) wanzhenyu20220607@126.com, Huang, Xicheng1 (AUTHOR) |
| Source: | Acta Mechanica. Feb2026, Vol. 237 Issue 2, p727-751. 25p. |
| Subjects: | Shape memory polymers, Actuators, Design techniques, Strains & stresses (Mechanics), Three-dimensional printing, Viscoelasticity |
| Abstract: | Thermo-induced shape memory polymers (TSMPs) are commonly employed as actuators in intelligent devices because of their recovery force associated with the shape memory effect. However, the actuators are typically subjected to semi-constrained conditions rather than free or fully constrained ones. Consequently, it is crucial to investigate the recovery force's evolution under actual operating conditions, predict it, and establish a two-way design relationship between the recovery force and operating conditions. Initially, shape memory experiments on 4D-printed P-cellular materials under semi-constrained conditions were performed, revealing that below the glass transition temperature, recovery force, and force recovery ratio increase with increases in pre-compression, constraint, recovery temperature, cell density, and volume fraction. Under these findings, the shape memory behaviors under diverse operating conditions were simulated using a modified viscoelastic constitutive model. Subsequently, an empirical formula correlating recovery force with operating conditions was derived from experimental data using mathematical statistical methods, enabling the development of a design approach for specific recovery force conditions. Ultimately, a two-way design methodology for the recovery force of 4D-printed P structures under semi-constrained conditions was proposed, allowing for the prediction of recovery force under specific operating conditions and vice versa. This method was validated through a specific case study. This approach offers a novel strategy for exploring the applications of TSMPs in intelligent devices. [ABSTRACT FROM AUTHOR] |
| Copyright of Acta Mechanica is the property of Springer Nature 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 |
|
Full text is not displayed to guests.
Login for full access.
|
|
| Abstract: | Thermo-induced shape memory polymers (TSMPs) are commonly employed as actuators in intelligent devices because of their recovery force associated with the shape memory effect. However, the actuators are typically subjected to semi-constrained conditions rather than free or fully constrained ones. Consequently, it is crucial to investigate the recovery force's evolution under actual operating conditions, predict it, and establish a two-way design relationship between the recovery force and operating conditions. Initially, shape memory experiments on 4D-printed P-cellular materials under semi-constrained conditions were performed, revealing that below the glass transition temperature, recovery force, and force recovery ratio increase with increases in pre-compression, constraint, recovery temperature, cell density, and volume fraction. Under these findings, the shape memory behaviors under diverse operating conditions were simulated using a modified viscoelastic constitutive model. Subsequently, an empirical formula correlating recovery force with operating conditions was derived from experimental data using mathematical statistical methods, enabling the development of a design approach for specific recovery force conditions. Ultimately, a two-way design methodology for the recovery force of 4D-printed P structures under semi-constrained conditions was proposed, allowing for the prediction of recovery force under specific operating conditions and vice versa. This method was validated through a specific case study. This approach offers a novel strategy for exploring the applications of TSMPs in intelligent devices. [ABSTRACT FROM AUTHOR] |
|---|---|
| ISSN: | 00015970 |
| DOI: | 10.1007/s00707-024-04178-5 |
