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具有局部形状记忆和刚度控制的软质半结晶丙烯酸酯的数字光处理3D打印

Digital Light Processing 3D Printing of Soft Semicrystalline Acrylates with Localized Shape Memory and Stiffness Control.

作者信息

Rylski Adrian K, Maraliga Tejas, Wu Yudian, Recker Elizabeth A, Arrowood Anthony J, Sanoja Gabriel E, Page Zachariah A

机构信息

Department of Chemistry, The University of Texas at Austin, Austin, Texas 78712, United States.

McKetta Department of Chemical Engineering, The University of Texas at Austin, Austin, Texas 78712, United States.

出版信息

ACS Appl Mater Interfaces. 2023 Jul 19;15(28):34097-34107. doi: 10.1021/acsami.3c07172. Epub 2023 Jul 7.

Abstract

Multimaterial three-dimensional (3D) printing of objects with spatially tunable thermomechanical properties and shape-memory behavior provides an attractive approach toward programmable "smart" plastics with applications in soft robotics and electronics. To date, digital light processing 3D printing has emerged as one of the fastest manufacturing methods that maintains high precision and resolution. Despite the common utility of semicrystalline polymers in stimuli-responsive materials, few reports exist whereby such polymers have been produced via digital light processing (DLP) 3D printing. Herein, two commodity long-alkyl chain acrylates (C, stearyl and C, lauryl) and mixtures therefrom are systematically examined as neat resin components for DLP 3D printing of semicrystalline polymer networks. Tailoring the stearyl/lauryl acrylate ratio results in a wide breadth of thermomechanical properties, including tensile stiffness spanning three orders of magnitude and temperatures from below room temperature (2 °C) to above body temperature (50 °C). This breadth is attributed primarily to changes in the degree of crystallinity. Favorably, the relationship between resin composition and the degree of crystallinity is quadratic, making the thermomechanical properties reproducible and easily programmable. Furthermore, the shape-memory behavior of 3D-printed objects upon thermal cycling is characterized, showing good fatigue resistance and work output. Finally, multimaterial 3D-printed structures with vertical gradation in composition are demonstrated where concomitant localization of thermomechanical properties enables multistage shape-memory and strain-selective behavior. The present platform represents a promising route toward customizable actuators for biomedical applications.

摘要

对具有空间可调热机械性能和形状记忆行为的物体进行多材料三维(3D)打印,为可编程“智能”塑料提供了一种有吸引力的方法,可应用于软机器人和电子领域。迄今为止,数字光处理3D打印已成为保持高精度和分辨率的最快制造方法之一。尽管半结晶聚合物在刺激响应材料中具有普遍用途,但很少有报道称此类聚合物是通过数字光处理(DLP)3D打印生产的。在此,系统研究了两种商品长烷基链丙烯酸酯(C,硬脂基和C,月桂基)及其混合物作为用于DLP 3D打印半结晶聚合物网络的纯树脂组分。调整硬脂基/月桂基丙烯酸酯比例会产生广泛的热机械性能,包括拉伸刚度跨越三个数量级,温度范围从低于室温(2°C)到高于体温(50°C)。这种广度主要归因于结晶度的变化。有利的是,树脂组成与结晶度之间的关系是二次的,使得热机械性能可重复且易于编程。此外,还对热循环后3D打印物体的形状记忆行为进行了表征,显示出良好的抗疲劳性和功输出。最后,展示了具有垂直成分梯度的多材料3D打印结构,其中热机械性能的伴随定位实现了多级形状记忆和应变选择性行为。本平台代表了一种用于生物医学应用的可定制致动器的有前途的途径。

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