One-Step 3D Printed Layers Along With xy-in Plane Directions for Enhanced Multifunctional Nanocomposites

IF 1 Q4 ENGINEERING, MANUFACTURING Journal of Micro and Nano-Manufacturing Pub Date : 2022-06-27 DOI:10.1115/msec2022-85056
Dharneedar Ravichandran, Kenan Song
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引用次数: 1

Abstract

Composite and hybrid materials displaying layered structures have broad applications in structural composites, fire retardant barriers, tissue scaffolds, and microelectronics. Inspired by biosystems, in this study, we explore the invention of a new 3D printing principle that can produce layered structures similar to those in trees, overcoming the bottleneck in additive manufacturing to include multi-materials. We use polyvinyl alcohol (PVA) and carbon nanotubes (CNTs) as material examples for producing alternating layers. With the unique 3D printing platform, Multiphase Direct Ink Writing (MDIW), the optimized dispersion quality and rheology behaviors allow the number of layers within an individual printing line to change between 4 and 512 layers. The mechanical tests consistently increased young’s modulus and ultimate tensile strength with decreased layer thickness and dispersion quality. The best-performed composites have 128 layers in one printing line, beyond which the dispersion of CNTs deteriorated due to aggregates. Due to the thin layer thickness, the improved composite mechanics relate to the closely packed CNTs and their alignment. Moreover, we will also demonstrate this MDIW printing with different polymers (e.g., thermoplastic urethane and polylactic acid) and nanoparticles (e.g., iron oxide, carbon fibers) for mechanical enhancement and intelligent behaviors. This research demonstrated one new 3D printing method, MDIW, that can fabricate multilayered composites containing well-managed content in each layer. Our advanced manufacturing method is compatible with other materials and has potential use in batteries, supercapacitors, solar cells, regenerative medicine, and energetic systems requiring layered structures.
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一步3D打印层沿xy-in平面方向增强多功能纳米复合材料
具有层状结构的复合材料和杂化材料在结构复合材料、防火屏障、组织支架、微电子等领域有着广泛的应用。受生物系统的启发,在本研究中,我们探索了一种新的3D打印原理的发明,该原理可以产生类似于树木的分层结构,克服了增材制造的瓶颈,包括多材料。我们使用聚乙烯醇(PVA)和碳纳米管(cnt)作为制造交替层的材料示例。凭借独特的3D打印平台,多相直接墨水书写(MDIW),优化的分散质量和流变行为允许单个打印线内的层数在4到512层之间变化。力学试验表明,随着层厚和分散质量的降低,杨氏模量和极限抗拉强度不断提高。性能最好的复合材料在一条打印线上有128层,超过128层后碳纳米管的分散会因聚集而恶化。由于层厚较薄,复合材料力学性能的提高与碳纳米管的紧密堆积及其排列有关。此外,我们还将用不同的聚合物(例如,热塑性聚氨酯和聚乳酸)和纳米颗粒(例如,氧化铁,碳纤维)演示这种MDIW打印,以增强机械性能和智能行为。这项研究展示了一种新的3D打印方法,MDIW,可以制造多层复合材料,每层都含有良好管理的内容。我们先进的制造方法与其他材料兼容,在电池、超级电容器、太阳能电池、再生医学和需要分层结构的能量系统中具有潜在的用途。
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来源期刊
Journal of Micro and Nano-Manufacturing
Journal of Micro and Nano-Manufacturing ENGINEERING, MANUFACTURING-
CiteScore
2.70
自引率
0.00%
发文量
12
期刊介绍: The Journal of Micro and Nano-Manufacturing provides a forum for the rapid dissemination of original theoretical and applied research in the areas of micro- and nano-manufacturing that are related to process innovation, accuracy, and precision, throughput enhancement, material utilization, compact equipment development, environmental and life-cycle analysis, and predictive modeling of manufacturing processes with feature sizes less than one hundred micrometers. Papers addressing special needs in emerging areas, such as biomedical devices, drug manufacturing, water and energy, are also encouraged. Areas of interest including, but not limited to: Unit micro- and nano-manufacturing processes; Hybrid manufacturing processes combining bottom-up and top-down processes; Hybrid manufacturing processes utilizing various energy sources (optical, mechanical, electrical, solar, etc.) to achieve multi-scale features and resolution; High-throughput micro- and nano-manufacturing processes; Equipment development; Predictive modeling and simulation of materials and/or systems enabling point-of-need or scaled-up micro- and nano-manufacturing; Metrology at the micro- and nano-scales over large areas; Sensors and sensor integration; Design algorithms for multi-scale manufacturing; Life cycle analysis; Logistics and material handling related to micro- and nano-manufacturing.
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