Shape memory technology : working mechanisms, modeling and surface patterning application
A new way to classify shape memory materials (SMMs) was proposed based on the underlying working mechanisms behind the shape memory effect (SME). Three categories, namely dual-state mechanism, dual-component mechanism, and partial-transition mechanism, were discussed in details. Based on this, the c...
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sg-ntu-dr.10356-535052023-03-11T18:10:47Z Shape memory technology : working mechanisms, modeling and surface patterning application Zhao, Yong Huang Weimin School of Mechanical and Aerospace Engineering DRNTU::Engineering::Materials::Functional materials A new way to classify shape memory materials (SMMs) was proposed based on the underlying working mechanisms behind the shape memory effect (SME). Three categories, namely dual-state mechanism, dual-component mechanism, and partial-transition mechanism, were discussed in details. Based on this, the concept of advanced shape memory technology was proposed to enable the SME in materials, to design/synthesize new SMMs with tailored features, and to optimize the SME in materials. Previously, SME is considered as a unique behavior in some certain materials. In this study, based on ASMT, SME can be achieved in a range of materials, which are not the traditional SMMs. A generic 3-D model was developed to simulate the shape memory behavior in polymeric SMMs. This model was verified by a series of experiments. In addition, this model was applied for optimization of the SME. The thermo-/chemo-responsive SME in poly(methyl methacrylate) (PMMA) were systematically studied by experiments and simulation. Based on above study on the fundamentals, different surface patterning methods were developed to fabricate micro/nano-sized surface features, including well-controllable wrinkled patterns, PMMA microlens arrays, reversible surface patterns and 3-D surface patterns. DOCTOR OF PHILOSOPHY (MAE) 2013-06-04T06:54:27Z 2013-06-04T06:54:27Z 2013 2013 Thesis Zhao, Y. (2013). Shape memory technology : working mechanisms, modeling and surface patterning application. Doctoral thesis, Nanyang Technological University, Singapore. https://hdl.handle.net/10356/53505 10.32657/10356/53505 en 177 p. application/pdf |
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DRNTU::Engineering::Materials::Functional materials Zhao, Yong Shape memory technology : working mechanisms, modeling and surface patterning application |
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A new way to classify shape memory materials (SMMs) was proposed based on the underlying working mechanisms behind the shape memory effect (SME). Three categories, namely dual-state mechanism, dual-component mechanism, and partial-transition mechanism, were discussed in details. Based on this, the concept of advanced shape memory technology was proposed to enable the SME in materials, to design/synthesize new SMMs with tailored features, and to optimize the SME in materials. Previously, SME is considered as a unique behavior in some certain materials. In this study, based on ASMT, SME can be achieved in a range of materials, which are not the traditional SMMs. A generic 3-D model was developed to simulate the shape memory behavior in polymeric SMMs. This model was verified by a series of experiments. In addition, this model was applied for optimization of the SME. The thermo-/chemo-responsive SME in poly(methyl methacrylate) (PMMA) were systematically studied by experiments and simulation. Based on above study on the fundamentals, different surface patterning methods were developed to fabricate micro/nano-sized surface features, including well-controllable wrinkled patterns, PMMA microlens arrays, reversible surface patterns and 3-D surface patterns. |
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Huang Weimin |
author_facet |
Huang Weimin Zhao, Yong |
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Theses and Dissertations |
author |
Zhao, Yong |
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Zhao, Yong |
title |
Shape memory technology : working mechanisms, modeling and surface patterning application |
title_short |
Shape memory technology : working mechanisms, modeling and surface patterning application |
title_full |
Shape memory technology : working mechanisms, modeling and surface patterning application |
title_fullStr |
Shape memory technology : working mechanisms, modeling and surface patterning application |
title_full_unstemmed |
Shape memory technology : working mechanisms, modeling and surface patterning application |
title_sort |
shape memory technology : working mechanisms, modeling and surface patterning application |
publishDate |
2013 |
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https://hdl.handle.net/10356/53505 |
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1761781514957225984 |