Research

Researchers 3D print self-propelling graphene oxide soft robots

Researchers from China’sHarbin Institute of Technologyhave 3D printed a soft robot in graphene-oxide that is capable of moving backward and forwards when exposed to moisture.

The scientists combined Direct Ink Writing (DIW) 3D printing and constrained drying techniques to fabricate the soft robot, and were able to overcome the porosity, shrinkage and structure uniformity challenges previously observed when 3D printing graphene-oxide objects.

According to the researchers, the study could provide a versatile platform from which graphene-oxide soft robots with moisture actuation capabilities can be further developed.

Challenges of 3D printing with graphene

Graphene has numerous desirable properties that make it suited to applications within energy generation, microelectronics, biomedicine, andsensors, to name but a few. Thematerial’s lightweight properties, electrical and thermal conductivity, and mechanical strength offer great promise within these areas, however as much ofgraphene’s potentialcomes from deploying the material in its monolayer form, utilizing the material for 3D printing still presents significant challenges.

Steps have been previously been taken towardsharnessing graphene’s potential within 3D printing, though, such as the development of a high-resolution 3D printing method by researchers fromVirginia TechandLawrence Livermore National Laboratory(LLNL), which involves the dispersal of graphene within a gel to form a 3D printable resin. LLNL has also worked with a team at theUniversity of California, Santa Cruzto producegraphene-based aerogel electrodesused within energy storage devices.

Elsewhere, researchers from Spain’sInstitute of Ceramics and Glass(ICV) andAix-Marseille University3D printed graphene oxide scaffolds as the basis for lightweight hybrid structures that retained many of graphene’s desirable properties, including electrical conductivity and water adsorption capacity.

More recently,University at Buffaloresearchers have developed a novel3D printed water-purifying graphene aerogelthat could be used within wastewater treatment plants, whileUppsala Universityscientists and graphene specialistGraphmatechhave successfullyadded graphene to 3D printed copper partsto increase their strength and density.

Cylinders 3D printed in graphene-coated copper. Photo via Uppsala University.
Cylinders 3D printed in graphene-coated copper. Photo via Uppsala University.

3D printing graphene-oxide soft robots

这支研究团队来自哈尔滨理工学院dentified that previously reported 3D printed graphene-oxide structures tend to be highly porous, due to the material’s super hydrophilic characteristics. The water content in graphene-oxide ink is generally higher than 90 percent of the material’s weight, which must be removed following the 3D printing process.

Freeze-drying techniques are typically used to maintain the uniformity of 3D printed graphene-oxide structures, however this can leave the structures highly porous. In order to overcome this effect, the researchers proposed to control the shrinkage process of the 3D printed graphene-oxide gel through a combination of DIW 3D printing and constrained drying techniques.

The scientists began by ensuring the rheological properties of the graphene-oxide ink were optimized to allow for both smooth extrusion during the DIW process and shape stability of the printed objects. To achieve this, they ensured the ink contained highly-aligned and densely compacted graphene-oxide sheets.

To prevent deformation during the drying phase, the researchers employed 3D printed constraints that could be easily controlled to ensure uniform shrinkage across the entire structure. This meant that the graphene-oxide sheets remained aligned and compacted throughout the drying process, enabling the printed structure to hold its shape.

The scientists were also able to control the angle at the corner of the 3D constraints, as well as the humidity of the local environment, to demonstrate the actuation capability of their 3D printed graphene-oxide soft robot. By alternatively dropping water droplets on each of the soft robot’s ‘legs’, it was able to move backward and forwards without any external power supply.

According to the researchers, the successful combination of DIW 3D printing and constrained drying has formed the basis of a versatile platform to develop future graphene-oxide soft robots that are sensitive to changes in moisture and humidity.

Further information in the study can be found in the paper titled:“3D printing graphene oxide soft robotics,”published in the ACS Nano journal. The study was co-authored by G. Zhou, Y. Yu, Z. Yang, D. Jia, P. Poulin, Y. Zhou, and J. Zhong.

The 3D printed graphene-oxide structure with a thickness of 20 μm. Image via ACS Nano.
The 3D printed graphene-oxide structure with a thickness of 20 μm. Image via ACS Nano.

Advances in 3D printed soft robots

3D printing is being increasingly leveraged for novel soft robotics applications due to the design freedom granted by the technology.

Just last week, researchers fromJohannes Kepler UniversityLinz3D printed soft robots with integrated sensor networksthat were capable of stretching to six times their original length. Through the study, the team sought to address the sustainability concerns posed by the development of soft robotics applications, such as the use of non-biodegradable materials and the field’s growing environmental impact.

Previously, researchers atLinköping Universityhave 3D printed a set ofmicroactuators for soft micro roboticswith 4D capabilities, whileHarvard Universityscientists leveraged the technology to fabricate aschool of soft robotic fishcapable of swimming in complex patterns.

Elsewhere,4D printed self-propelling soft robotshave been created by a team atTianjin University, andUC San Diegoresearchers have proposed a novel method of 3D printing liquid crystal elastomers that could form the basis of anactuating material for soft robotics.

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Featured image showsthe 3D printed graphene-oxide structure with a thickness of 20 um. Image via ACS Nano.