Construction of CO2‐based thermoplastic elastomer via combining aliphatic polycarbonate and polyamide: A multiblock copolymer PPCmbPA6 DOI Open Access

Weikai Han,

Pan Weibin,

Xianzhang Liu

et al.

Journal of Applied Polymer Science, Journal Year: 2024, Volume and Issue: 141(43)

Published: Aug. 17, 2024

Abstract A CO 2 ‐based thermoplastic elastomer, poly(propylene carbonate)‐multiblock‐polyamide6 (PPC‐ mb ‐PA6) copolymer, was constructed through coupling amorphous/soft PPC blocks with crystalline/hard PA6 blocks. The PPC‐ ‐PA6 copolymers different block length pairs were designed and synthesized, then fully characterized by structural, thermal, mechanical analysis. proton nuclear magnetic resonance ( 1 H‐NMR), diffusion ordered spectroscopy (DOSY), heteronuclear multiple‐bond correlation (HMBC) gel permeation chromatography (GPC) results confirm that the multiblock sequence structure of ‐PA6. differential scanning calorimetry (DSC) tests show all PPC‐mb‐PA6s possess melting points around 179–206°C. thermal analysis indicates improved service temperatures T 5% up to 270°C) tensile strength ranging from 15.8 39.6 MPa higher content. dynamic demonstrates excellent shape memory effect stimuli responsiveness derived micro phase separation between soft hard domains. And characteristic strain fixity parameter R f ) deformation recovery rate r are 98% 100%, respectively, which comparable other polymers.

Language: Английский

Obliquely propagating incident SH waves in periodic hard-magnetic soft laminates DOI

Zeeshan Alam,

Prabhat Kaushik,

Atul Kumar Sharma

et al.

International Journal of Mechanical Sciences, Journal Year: 2025, Volume and Issue: 287, P. 109945 - 109945

Published: Jan. 11, 2025

Language: Английский

Citations

3

Effects of Printing Orientation on the Tensile, Thermophysical, Smoke Density, and Toxicity Properties of Ultem® 9085 DOI Open Access

Elīna Vīndedze,

Tatjana Glaskova-Kuzmina,

Didzis Dejus

et al.

Polymers, Journal Year: 2025, Volume and Issue: 17(2), P. 145 - 145

Published: Jan. 9, 2025

Despite the impressive properties of additively manufactured products, their inherent anisotropy is a crucial challenge for polymeric parts made via fused filament fabrication (FFF). This study compared tensile, thermophysical, smoke density, and toxicity characteristics Ultem 9085 (a blend polyetherimide polycarbonate) samples printed in various orientations (X, Y, Z). The results revealed that mechanical properties, such as elastic modulus tensile strength, significantly differed from Z printing orientation, particularly X Y layer orientations. Thermomechanical analysis had high anisotropic effects coefficient thermal expansion, indicating superior along orientation. density test proved complies with aviation safety standards. Smoke tests showed all samples, regardless print orientation or thickness, stayed well below regulatory limit, making them suitable aircraft interiors.

Language: Английский

Citations

1

4D Printing Behavior of PETG/SEBS Blends: A Comparative Study of Reactive and Non-Reactive SEBS with Varied Styrene Content DOI
Marcela Cristine de Alencar Lira, Válmer Azevedo de Sousa Filho, Rafael Braga da Cunha

et al.

Polymer, Journal Year: 2025, Volume and Issue: unknown, P. 128059 - 128059

Published: Jan. 1, 2025

Language: Английский

Citations

1

Improvement of Polymer/Metal Adhesion Using Anodizing Treatment and 3D Printing Process DOI Open Access
Sangwoo Ryu, Dong‐Hyun Kim,

Wonhwa Lee

et al.

Polymers, Journal Year: 2025, Volume and Issue: 17(3), P. 299 - 299

Published: Jan. 23, 2025

Joining materials with different physicochemical properties presents significant challenges. This study investigates the one-step anodization of aluminum in a mixed phosphoric acid and hydrogen peroxide solution, followed by direct injection molding polymer resin to enhance joint properties. The anodizing treatment is performed at constant electrical current solutions various concentrations. Phosphoric enables formation 3D channeling pore structure micropits uniform nanopores on surface. Hydrogen acts as an oxidizing agent promotes dissolution reaction, thereby increasing size nanopores. Larger pores facilitated penetration into oxide layer during molding, resulting bonding strengths up 40.34 MPa. improvement substantial when compared achieved through conventional processes. These results highlight that increase nanopore due addition played critical role enhancing strength, it better interlocking within anodized layer. Furthermore, three-dimensional (3D) printing process was able join resins surface, where larger more beneficial than is. alternative approach addresses environmental issues associated use Cr(VI)-based lightweight composites applicability industries could be produced using this method.

Language: Английский

Citations

1

4D printing of Nd-Fe-B composites with both shape memory and permanent magnet excitation deformation DOI
Haorui Zhai, Xiaodong Li, Shuzhou Yu

et al.

Composites Part A Applied Science and Manufacturing, Journal Year: 2024, Volume and Issue: 187, P. 108443 - 108443

Published: Sept. 1, 2024

Language: Английский

Citations

6

Shape Memory Effect in Supertough PETG/EGMA Thermoplastic Vulcanizates Obtained through Dynamic Vulcanization and Interfacial Compatibilization DOI Creative Commons
Marcela Cristine de Alencar Lira, Rafael Braga da Cunha, Pankaj Agrawal

et al.

Macromolecules, Journal Year: 2024, Volume and Issue: 57(15), P. 7315 - 7330

Published: July 31, 2024

This study investigates the influence of a ethylene-glycidyl methacrylate copolymer (EGMA) on shape memory effect (SME) and impact resistance PETG/EGMA thermoplastic vulcanizates (TPVs). The TPVs were prepared by dynamic vulcanization through simple melt blending polymers without need for curing agents such as DCP or sulfur. Simultaneously, in situ reactive compatibilization was achieved solely, any compatibilizer. SME, mechanical, thermomechanical, rheological, chemical, morphological properties characterized. Surprisingly, (80/20) blend exhibited an strength 835.9 J/m, which is 15 times higher than that neat PETG (53.5 J/m). Increasing EGMA concentration significantly improved effect. (50/50) demonstrated excellent recovery (Rr) 84.2%, approximately 2.5 (33.4%), with fixity (Rf) 100%. approach presented this work offers practical, simple, low-cost obtaining high effect, opening up possibilities application material various fields.

Language: Английский

Citations

5

Applications of Smart and Self-Sensing Materials for Structural Health Monitoring in Civil Engineering: A Systematic Review DOI Creative Commons
Ana Raina Carneiro Vasconcelos,

Ryan Araújo de Matos,

Mariana Vela Silveira

et al.

Buildings, Journal Year: 2024, Volume and Issue: 14(8), P. 2345 - 2345

Published: July 29, 2024

Civil infrastructures are constantly exposed to environmental effects that can contribute deterioration. Early detection of damage is crucial prevent catastrophic failures. Structural Health Monitoring (SHM) systems essential for ensuring the safety and reliability structures by continuously monitoring recording data identify damage-induced changes. In this context, self-sensing composites, formed incorporating conductive nanomaterials into a matrix, offer intrinsic sensing capabilities through piezoresistivity various conduction mechanisms. The paper reviews how SHM with materials be applied civil infrastructure while also highlighting important research articles in field. result demonstrates increased dissemination engineering worldwide. Their use core components enhances functionality, safety, transportation efficiency. Among used as additions produce small portions, carbon nanotubes have most citations and, consequently, studies, followed fiber steel fiber. This highlight identifies knowledge gaps, benchmark technologies, outlines future research.

Language: Английский

Citations

4

Effect of atomic oxygen and vacuum thermal aging on graphene and glass fibre reinforced cyanate ester-based shape memory polymer composite for deployable thin wall structures DOI Creative Commons
Sandaruwan Jayalath, Eduardo Trifoni, Jayantha Epaarachchi‎

et al.

Composites Science and Technology, Journal Year: 2024, Volume and Issue: 258, P. 110870 - 110870

Published: Sept. 21, 2024

Language: Английский

Citations

4

4D Printing of Magnetic Shape Memory Polymer—La0.7Sr0.3MnO3 Nanocomposite DOI Open Access
Mohammad H. Yousuf, Wael Abuzaid, M. Egilmez

et al.

Advanced Engineering Materials, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 16, 2025

Four‐dimensional printing has revolutionized traditional three‐dimensional (3D printing) by using smart materials such as shape memory polymers (SMPs). As nonmagnetic materials, SMPs require direct exposure to heat for the effect be triggered. This limitation can addressed incorporating magnetic nanoparticles, allowing SMP/nanocomposite remotely heated through induction heating. work focuses on (LSMO) manganite with an optimized stoichiometry of x = 0.3. Polycrystalline LSMO is sintered from pure powders and later added SMP solution mixing route, finally extruded into filaments used 3D printing. Significant improvements in elastic modulus, yield, ultimate strengths are observed following addition. All composites exhibit moments near 3.5 μ B Mn −1 at ground state indicating desirable properties. Shape properties evaluated application programming recovery cycles as‐printed single‐cell auxetic structure. The evaluation bulk strain structure 0 20 wt% LSMO/SMP nanocomposite reveals no change fixity, a slight decrease ratio 88 81%, significant improvement rate 124.3 179.5% min .

Language: Английский

Citations

0

Generative Design of Thermoset Shape Memory Polymers Driven by Chemical Group: A Conditional Variational Autoencoder Approach DOI Open Access

Borun Das,

Andrew J. Peters, Guoqiang Li

et al.

Journal of Polymer Science, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 17, 2025

ABSTRACT The discovery of novel thermoset shape memory polymers (TSMPs) for additive manufacturing can be accelerated through the use a deep‐generative algorithm, minimizing need laborious traditional laboratory experiments. This study is first to introduce an innovative approach that uses deep generative learning model, namely conditional variational autoencoder (CVAE), discover TSMPs with lower glass transition temperature () and high recovery stress values (). In this study, specific chemical groups, such as epoxy, amine, thiol, vinyl, are integrated constraints generate while preserving essential reaction properties. To address challenges posed by small dataset, CVAE model used graph‐extracted features. Unlike previous studies focused on single‐polymer systems, research extends two‐monomer samples, discovering 22 TSMPs. has practical implications in manufacturing, biomedical devices, aerospace, robotics samples from limited data.

Language: Английский

Citations

0