4D printing of shape memory polylactic acid/ethylene-glycidyl methacrylate (PLA/E-GMA) blends

Author:

Cunha Rafael Braga daORCID,Agrawal PankajORCID,Quirino Brito Louise BrasileiroORCID,Candido Cunha Carlos ThiagoORCID,Brito Gustavo de FigueiredoORCID,Alves de Mélo Tomás JefersonORCID

Abstract

Abstract In this study, polylactide/ethylene-glycidyl methacrylate (PLA/E-GMA) binary blends were prepared via melt blending to investigate their potential for 4D printing. The aim was to enhance shape memory effects (SMEs) and dynamic responses in the printed objects by exploring different compositions, printing parameters, and temporary shapes. Several characterizations were performed, including Fourier transform infrared spectroscopy, rheological properties, dynamic mechanical analysis (DMTA), scanning electron microscopy (SEM), impact strength tests, optical microscopy (OM), and evaluation of the SME. The results revealed the successful incorporation of elastomers into the PLA matrix, as confirmed by the chemical reactivity of the PLA/E-GMA blends. The materials showed good processability and printability based on the rheological properties. DMTA analysis demonstrated improved mechanical properties and shape memory behavior in the PLA/E-GMA samples. SEM images exhibited well-dispersed elastomer particles and enhanced interfacial adhesion between the phases. The evaluation of the SME showed that the printed objects could recover their original shape upon stimulation. OM confirmed the influence of printing parameters on layer adhesion. The PLA/E-GMA (50/50) composition was selected for filament production, resulting in a high-quality filament with suitable dimensions and good printability. Overall, the incorporation of elastomers into PLA enhanced the SME and mechanical properties of the printed objects. This research contributes to the advancement of 4D printing using PLA-based materials and opens possibilities for dynamic and responsive structures in various fields.

Funder

Coordination for the Improvement of Higher Education Personnel

National Council for Science and Technology

Publisher

IOP Publishing

Subject

Electrical and Electronic Engineering,Mechanics of Materials,Condensed Matter Physics,General Materials Science,Atomic and Molecular Physics, and Optics,Civil and Structural Engineering,Signal Processing

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3