Student or educator? Sign up with your school email and get 6 months of Pro free.
CoChat
Sign Up
Cited by 220

The DOI matches its Crossref record; 17 of the 17 references it cites were found in a registry or an index.

Controlled Sequential Shape Changing Components by 3D Printing of Shape Memory Polymer Multimaterials

Open access
Yu, Kai, Ritchie, Alexander, Mao, Yiqi, Dunn, Martin L., Qi, H. Jerry·2015·Procedia IUTAM
DOI 10.1016/j.piutam.2014.12.021
Open this paper in CoChat — free account

Abstract

In this paper, we demonstrate the feasibility of using 3D printing technique to create functional graded shape memory polymers (SMPs) with both spontaneous and sequential shape recovery abilities. The created SMP components, with properly assigned spatial variation of the thermodynamical property distribution, react rapidly to a thermal stimulus, and return to a specified configuration in a precisely controlled shape changing sequence. The use of the 3D printing technique enables a manufacturing routine with merits of easy implementation, large design freedom, and high printing resolution, which promises to advance immediate engineering applications for low-cost, rapid, and mass production.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1016/j.piutam.2014.12.021

Cites

17 of 17 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 17 references

Research works printed but not linked: 56

  1. Pretsch, 2010, Triple-shape properties of a thermoresponsive poly(ester urethane), Smart Materials & Structures, 19, 10.1088/0964-1726/19/1/015006 · DOI · Paper page
  2. Behl, 2009, One-Step Process for Creating Triple- Shape Capability of AB Polymer Networks, Advanced Functional Materials, 19, 102, 10.1002/adfm.200800850 · DOI · Paper page
  3. Luo, 2010, Triple-Shape Polymeric Composites (TSPCs), Advanced Functional Materials, 20, 2649, 10.1002/adfm.201000052 · DOI · Paper page
  4. Lendlein, 2002, Shape-memory polymers, Angew Chem Int Ed Engl, 41, 2035, 10.1002/1521-3773(20020617)41:12<2034::AID-ANIE2034>3.0.CO;2-M · doi:10.1002/1521-3773(20020617)41:12<2034::aid-anie2034>3.0.co;2-m
  5. Chung, 2008, Two-way reversible shape memory in a semicrystalline network, Macromolecules, 41, 184, 10.1021/ma071517z · DOI · Paper page
  6. Mohr, 2006, Initiation of shape-memory effect by inductive heating of magnetic nanoparticles in thermoplastic polymers, Proceedings of the National Academy of Sciences of the United States of America, 103, 3540, 10.1073/pnas.0600079103 · DOI · Paper page
  7. Buckley, 2006, Inductively heated shape memory polymer for the magnetic actuation of medical devices, Ieee Transactions on. Biomedical Engineering, 53, 2075, 10.1109/TBME.2006.877113 · DOI · Paper page
  8. Schmidt, 2006, Electromagnetic activation of shape memory polymer networks containing magnetic nanoparticles, Macromolecular Rapid Communications, 27, 1168, 10.1002/marc.200600225 · DOI · Paper page
  9. He, 2011, Remote Controlled Multishape Polymer Nanocomposites with Selective Radiofrequency Actuations, Advanced Materials, 23, 3192, 10.1002/adma.201100646 · DOI · Paper page
  10. Jiang, 2006, Polymers move in response to light, Advanced Materials, 18, 1471, 10.1002/adma.200502266 · DOI · Paper page
  11. Li, 2003, Light-driven side-on nematic elastomer actuators, Advanced Materials, 15, 569, 10.1002/adma.200304552 · DOI · Paper page
  12. Scott, 2006, Actuation in crosslinked polymers via photoinduced stress relaxation, Advanced Materials, 18, 10.1002/adma.200600379 · DOI
  13. Scott, 2005, Photoinduced plasticity in cross-linked polymers, Science, 308, 1615, 10.1126/science.1110505 · DOI · Paper page
  14. Jung, 2006, Water-responsive shape memory polyurethane block copolymer modified with polyhedral oligomeric silsesquioxane, Journal of Macromolecular Science Part B-Physics, 45, 453, 10.1080/00222340600767513 · DOI · Paper page
  15. Wei, 1998, Shape-memory materials and hybrid composites for smart systems - Part I Shape-memory materials, Journal of Materials Science, 33, 3743, 10.1023/A:1004692329247 · DOI · Paper page
  16. Yakacki, 2007, Unconstrained recovery characterization of shape-memory polymer networks for cardiovascular applications, Biomaterials, 28, 2255, 10.1016/j.biomaterials.2007.01.030 · DOI · Paper page
  17. Lendlein, 2005, Shape-memory polymers as stimuli-sensitive implant materials, Clinical Hemorheology and Microcirculation, 32, 105
  18. Liu, 2006, Thermomechanics of shape memory polymers: Uniaxial experiments and constitutive modeling, International Journal of Plasticity, 22, 279, 10.1016/j.ijplas.2005.03.004 · DOI · Paper page
  19. Yu, K., Q. Ge, and H.J. Qi, Reduced time as a unified parameter determining fixity and free recovery of shape memory polymers. Nature communications, 2014. 5: p. 3066. · DOI · Paper page
  20. Yu, K., Q. Ge, and H.J. Qi, Effects of stretch induced softening on the free recovery behavior of shape memory polymer composites. Polymer (available on line), 2014. · DOI
  21. Yu, 2014, A thermomechanical constitutive model for an epoxy based shape memory polymer and its parameter identifications, Mechanics of Time-Dependent Materials, 18, 453, 10.1007/s11043-014-9237-5 · DOI
  22. Yu, K., D.M. Phillips, J.W. Baur, and H.J. Qi, Analysis of shape-memory polymer composites with embedded microvascular system for fast thermal response. Journal of Composite Materials, 2014: p. 0021998314540194. · DOI
  23. Yu, 2013, Design considerations for shape memory polymer composites with magnetic particles, Journal of Composite Materials, 47, 51, 10.1177/0021998312447647 · DOI
  24. Yu, 2011, Carbon nanotube chains in a shape memory polymer/carbon black composite: To significantly reduce the electrical resistivity, Applied Physics Letters, 98, 10.1063/1.3556621 · DOI · Paper page
  25. Yu, K., Y. Liu, and J. Leng, Shape memory polymer/CNT composite and its microwave induced shape memory behavior. RSC Adv., 2013. · DOI · Paper page
  26. Yu, 2013, Mechanical and shape recovery properties of shape memory polymer composite embedded with cup-stacked carbon nanotubes, Journal of Intelligent Material Systems and Structures, 1045389X
  27. Yu, K., Y.J. Liu, and J.S. Leng, Conductive Shape Memory Polymer Composite Incorporated with Hybrid. Fillers: Electrical, Mechanical, and Shape Memory Properties. Journal of Intelligent Material Systems and Structures, 2011. 22(4): p. 369-379. · DOI
  28. Diani, 2012, Predicting thermal shape memory of crosslinked polymer networks from linear viscoelasticity, International Journal of Solids and Structure, 49, 793, 10.1016/j.ijsolstr.2011.11.019 · DOI · Paper page
  29. Ge Q., Yu K., Ding Y.F., and Qi J.H., Prediction of temperature-dependent free recovery behaviors of amorphous shape memory polymers. Soft Matter, 2012. 8: p. 11098-11105. · DOI
  30. Nguyen, 2008, A thermoviscoelastic model for amorphous shape memory polymers: Incorporating structural and stress relaxation, Journal of the Mechanics and Physics of Solids, 56, 2792, 10.1016/j.jmps.2008.04.007 · DOI · Paper page
  31. Westbrook, 2011, A 3D finite deformation constitutive model for amorphous shape memory polymers: A multi-branch modeling approach for nonequilibrium relaxation processes, Mechanics of Materials, 43, 853, 10.1016/j.mechmat.2011.09.004 · DOI · Paper page
  32. Yu, 2012, Mechanisms of multi-shape memory effects and associated energy release in shape memory polymers, Soft Matter, 8, 5687, 10.1039/c2sm25292a · DOI · Paper page
  33. Ge, 2013, Mechanisms of triple-shape polymeric composites due to dual thermal transitions, Soft Matter, 9, 2212, 10.1039/c2sm27063c · DOI
  34. Yang, 2005, Effects of moisture on the glass transition temperature of polyurethane shape memory polymer filled with nano-carbon powder, European Polymer Journal, 41, 1123, 10.1016/j.eurpolymj.2004.11.029 · DOI
  35. Yang, 2006, Effects of moisture on the thermomechanical properties of a polyurethane shape memory polymer, Polymer, 47, 1348, 10.1016/j.polymer.2005.12.051 · DOI · Paper page
  36. Chen, 2008, A Control-Oriented and Physics-Based Model for Ionic Polymer-Metal Composite Actuators, Ieee-Asme Transactions on Mechatronics, 13, 519, 10.1109/TMECH.2008.920021 · DOI · Paper page
  37. Cho, 2005, Electroactive shape-memory polyurethane composites incorporating carbon nanotubes, Macromolecular Rapid Communications, 26, 412, 10.1002/marc.200400492 · DOI · Paper page
  38. Gomes, 2004, Biodegradable polymers and composites in biomedical applications: from catgut to tissue engineering - Part 1 - Available systems and their properties, International Materials Reviews, 49, 261, 10.1179/095066004225021918 · DOI
  39. Yu, 2009, Novel deployable morphing wing based on SMP composite. in Second International Conference on Smart Materials and Nanotechnology in Engineering, International Society for Optics and Photonics
  40. Yu, K., W. Yin, S. Sun, Y. Liu, and J. Leng. Design and analysis of morphing wing based on SMP composite. in The 16th International Symposium on: Smart Structures and Materials & Nondestructive Evaluation and Health Monitoring. 2009. International Society for Optics and Photonics. · DOI
  41. Wong, 2003, Directed movement of vascular smooth muscle cells on gradient-compliant hydrogels, Langmuir, 19, 1908, 10.1021/la026403p · DOI · Paper page
  42. Yao, 2007, Mechanical properties and gradient variations of polymers under ultraviolet radiation, Journal of Applied Polymer Science, 106, 3253, 10.1002/app.26995 · DOI
  43. Hexig, 2005, Novel biodegradable poly(butylene succinate)/poly (ethylene oxide) blend film with compositional and spherulite-size gradients, Journal of Polymer Science. Part B-Polymer Physics, 43, 368, 10.1002/polb.20335 · DOI
  44. Zhu, 2006, A new technique for preparing a filled type of polymeric gradient material, Macromolecular Materials and Engineering, 291, 1388, 10.1002/mame.200600249 · DOI
  45. Wen, 2004, A flat polymeric gradient material: preparation, structure and property, Polymer, 45, 3359, 10.1016/j.polymer.2004.03.023 · DOI
  46. Bogue, 2013, 3D printing: the dawn of a new era in manufacturing?, Assembly Automation, 33, 307, 10.1108/AA-06-2013-055 · DOI · Paper page
  47. Bose, 2013, Bone tissue engineering using 3D printing, Materials Today, 16, 496, 10.1016/j.mattod.2013.11.017 · DOI · Paper page
  48. Bredt, 2012, New Life for 3D Printing, R&D Magazine, 54, 12
  49. Campbell, 2013, 3D printing of multifunctional nanocomposites, Nano Today, 8, 119, 10.1016/j.nantod.2012.12.002 · DOI · Paper page
  50. Hockaday, L.A., K.H. Kang, N.W. Colangelo, P.Y.C. Cheung, B. Duan, E. Malone, et al., Rapid 3D printing of anatomically accurate and mechanically heterogeneous aortic valve hydrogel scaffolds. Biofabrication, 2012. 4(3). · DOI · Paper page
  51. Martinez, E., L.E. Murr, K.N. Amato, J. Hernandez, P.W. Shindo, S.M. Gaytan, et al., 3d Microstructural Architectures for Metal and Alloy Components Fabricated by 3d Printing/Additive Manufacturing. Technologies. Proceedings of the 1st International Conference on 3d Materials Science, 2012: p. 73-78. · DOI
  52. Richards, 2013, 3D Printing for Tissue Engineering, Israel Journal of Chemistry, 53, 805, 10.1002/ijch.201300086 · DOI
  53. Zhang, 2013, 3D Printing Technology-A New Mode of Computer-aided Style Design in This New Age, Industrial Instrumentation and Control Systems Ii Pts, 1-3, 1383
  54. Ge, Q., C. Dunn, H.J. Qi, and M.L. Dunn, Active Origami by 4D Printing. Smart Materials and Structures (In press), 2014. · DOI · Paper page
  55. Tibbits, 2012, Design to Self-Assembly, Architectural Design, 82, 68, 10.1002/ad.1381 · DOI · Paper page
  56. Tibbits, 2012, Programmable materials for architectural assembly and automation, Assembly Automation, 32, 216, 10.1108/01445151211244348 · DOI

Cited by

See all 220

Metadata

Authors
Yu, K., Ritchie, A., Mao, Y., Dunn, M. L., & Qi, H. J.
Venue
Procedia IUTAM
Publisher
Elsevier BV
Published
2015
Volume
12
Pages
193-203
ISSN
2210-9838 (ISSN-L)
DOI
10.1016/j.piutam.2014.12.021
OpenAlex
W2038198774
Cited by
220
References
17
FWCI
20.60
Type
journal article
Language
en
Open access
hybrid
Licence
Funders
  • National Science Foundation (EFRI-1435452, CMMI-1404621)
  • International Design Centre
  • Air Force Office of Scientific Research (FA9550-13-1-0088)

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Controlled Sequential Shape Changing Components by 3D Printing of Shape Memory Polymer Multimaterials. https://app.cochat.ai/papers/10.1016/j.piutam.2014.12.021
The paper
Yu, K., Ritchie, A., Mao, Y., Dunn, M. L., & Qi, H. J. (2015). Controlled Sequential Shape Changing Components by 3D Printing of Shape Memory Polymer Multimaterials. Procedia IUTAM. https://doi.org/10.1016/j.piutam.2014.12.021

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.