Fused Filament Fabrication 4D Printing of a Highly Extensible, Self-Healing, Shape Memory Elastomer Based on Thermoplastic Polymer Blends

2020 ◽  
Author(s):  
Bangan Peng ◽  
Yunchong Yang ◽  
Tianxiong Ju ◽  
Kevin A. Cavicchi
Keyword(s):  
Polymer Blends ◽  
Shape Memory ◽  
Self Healing ◽  
Thermoplastic Polymer ◽  
4D Printing ◽  
Fused Filament Fabrication

Dual-functional polymer blends with rapid thermo-responsive shape memory and repeatable self-healing properties

Polymer ◽  
2022 ◽  
Vol 239 ◽  
pp. 124436
Author(s):  
Wenqiang Yan ◽  
Yun Ding ◽  
Run Zhang ◽  
Xinjie Luo ◽  
Pinghou Sheng ◽  
...  
Keyword(s):  
Polymer Blends ◽  
Shape Memory ◽  
Self Healing ◽  
Functional Polymer ◽  
Dual Functional

Effect of the blend ratio on the shape memory and self-healing behaviour of ionomer-polycyclooctene crosslinked polymer blends

2018 ◽  
Vol 98 ◽  
pp. 154-161 ◽  
Author(s):  
Nuria García-Huete ◽  
Wouter Post ◽  
José Manuel Laza ◽  
José Luis Vilas ◽  
Luis Manuel León ◽  
...  
Keyword(s):  
Polymer Blends ◽  
Shape Memory ◽  
Self Healing ◽  
Blend Ratio ◽  
Crosslinked Polymer

scholarly journals AM-FFF of Objects Using Commercial PLA Based Shape Memory Polymer Printed by an Open-Source 3D Printer

2020 ◽  
Vol 31 ◽  
pp. 30-34
Author(s):  
N. Dresler ◽  
A. Ulanov ◽  
M. Aviv ◽  
D. Ashkenazi ◽  
A. Stern
Keyword(s):  
Additive Manufacturing ◽  
3D Printing ◽  
Shape Memory ◽  
Open Source ◽  
Shape Memory Polymer ◽  
Manufacturing Processes ◽  
3D Printer ◽  
4D Printing ◽  
Fused Filament Fabrication ◽  
Memory Cycle

The 4D additive manufacturing processes are considered today as the "next big thing" in R&D. The aim of this research is to provide two examples of commercial PLA based shape memory polymer (SMP) objects printed on an open-source 3D printer in order to proof the feasibility of such novel 4D printing process. To that purpose, a PLA based filament of eSUN (4D filament e4D-1white, SMP) was chosen, and two applications, a spring and a vase, were designed by 3D-printing with additive manufacturing (AM) fused filament fabrication (FFF) technique. The 4D-printed objects were successfully produced, the shape memory effect and their functionality were demonstrated by achieving the shape-memory cycle of programming, storage and recovery.

3D Printing of Highly Stretchable, Shape-Memory, and Self-Healing Elastomer toward Novel 4D Printing

2018 ◽  
Vol 10 (8) ◽  
pp. 7381-7388 ◽  
Author(s):  
Xiao Kuang ◽  
Kaijuan Chen ◽  
Conner K. Dunn ◽  
Jiangtao Wu ◽  
Vincent C. F. Li ◽  
...  
Keyword(s):  
3D Printing ◽  
Shape Memory ◽  
Self Healing ◽  
4D Printing ◽  
Highly Stretchable

scholarly journals Fused Filament Fabrication-4D-Printed Shape Memory Polymers: A Review

Polymers ◽  
2021 ◽  
Vol 13 (5) ◽  
pp. 701
Author(s):  
Sara Valvez ◽  
Paulo N. B. Reis ◽  
Luca Susmel ◽  
Filippo Berto
Keyword(s):  
Mechanical Properties ◽  
Additive Manufacturing ◽  
Shape Memory ◽  
Structural Integrity ◽  
Shape Memory Polymer ◽  
Shape Memory Polymers ◽  
Layer By Layer ◽  
4D Printing ◽  
Fused Filament Fabrication ◽  
External Stimuli

Additive manufacturing (AM) is the process through which components/structures are produced layer-by-layer. In this context, 4D printing combines 3D printing with time so that this combination results in additively manufactured components that respond to external stimuli and, consequently, change their shape/volume or modify their mechanical properties. Therefore, 4D printing uses shape-memory materials that react to external stimuli such as pH, humidity, and temperature. Among the possible materials with shape memory effect (SME), the most suitable for additive manufacturing are shape memory polymers (SMPs). However, due to their weaknesses, shape memory polymer compounds (SMPCs) prove to be an effective alternative. On the other hand, out of all the additive manufacturing techniques, the most widely used is fused filament fabrication (FFF). In this context, the present paper aims to critically review all studies related to the mechanical properties of 4D-FFF materials. The paper provides an update state of the art showing the potential of 4D-FFF printing for different engineering applications, maintaining the focus on the structural integrity of the final structure/component.

scholarly journals Design of Shape Memory Thermoplastic Material Systems for FDM-Type Additive Manufacturing

Materials ◽  
2021 ◽  
Vol 14 (15) ◽  
pp. 4254
Author(s):  
Paulina A. Quiñonez ◽  
Leticia Ugarte-Sanchez ◽  
Diego Bermudez ◽  
Paulina Chinolla ◽  
Rhyan Dueck ◽  
...  
Keyword(s):  
Additive Manufacturing ◽  
Shape Memory ◽  
Thermomechanical Processing ◽  
Material Selection ◽  
Shape Memory Polymer ◽  
Fused Filament Fabrication ◽  
Materials Development ◽  
Thermoplastic Material ◽  
Polymer Systems ◽  
Injection Molded

The work presented here describes a paradigm for the design of materials for additive manufacturing platforms based on taking advantage of unique physical properties imparted upon the material by the fabrication process. We sought to further investigate past work with binary shape memory polymer blends, which indicated that phase texturization caused by the fused filament fabrication (FFF) process enhanced shape memory properties. In this work, two multi-constituent shape memory polymer systems were developed where the miscibility parameter was the guide in material selection. A comparison with injection molded specimens was also carried out to further investigate the ability of the FFF process to enable enhanced shape memory characteristics as compared to other manufacturing methods. It was found that blend combinations with more closely matching miscibility parameters were more apt at yielding reliable shape memory polymer systems. However, when miscibility parameters differed, a pathway towards the creation of shape memory polymer systems capable of maintaining more than one temporary shape at a time was potentially realized. Additional aspects related to impact modifying of rigid thermoplastics as well as thermomechanical processing on induced crystallinity are also explored. Overall, this work serves as another example in the advancement of additive manufacturing via materials development.

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