Parameter Study on 3D-Printing Graphene Oxidize Based on Directional Freezing

2016 ◽  
Author(s):  
Feng Zhang ◽  
Feng Yang ◽  
Dong Lin ◽  
Chi Zhou
Keyword(s):  
3D Printing ◽  
Optimal Parameter ◽  
Applied Pressure ◽  
Parameter Study ◽  
Print Quality ◽  
Oxide Material ◽  
3D Graphene ◽  
Optical And Mechanical Properties ◽  
Functional Nanomaterial ◽  
Directional Freezing

Graphene is one of the most promising carbon nanomaterial due to its excellent electrical, thermal, optical and mechanical properties. However, it is still very challenging to unlock its exotic properties and widely adopt it in real-world applications. In this paper, we introduces a new 3D graphene structure printing approach with pure graphene oxide material, better inter-layer bonding, and complex architecture printing capability. Various parameters related to this novel process are discussed in detail in order to improve the printability, reliability and accuracy. We have shown that the print quality largely depends on the duty cycle of print head, applied pressure and travel velocity during printing. A palette of printed samples are presented to demonstrate the effectiveness of the proposed technique along with the optimal parameter settings. The proposed process proves to be a promising 3D printing technique for fabricating multi-scale nanomaterial structures. The theory revealed and parameters investigated herein are expected to significantly advance the knowledge and understanding of the fundamental mechanism of the proposed directional freezing based 3D nano printing process. Furthermore the outcome of this research has the potential to open up a new avenue for fabricating multi-functional nanomaterial objects.

Parameter Study of Three-Dimensional Printing Graphene Oxide Based on Directional Freezing

2016 ◽  
Vol 139 (3) ◽  
Author(s):  
Feng Zhang ◽  
Feng Yang ◽  
Dong Lin ◽  
Chi Zhou
Keyword(s):  
Graphene Oxide ◽  
Optimal Parameter ◽  
Applied Pressure ◽  
Three Dimensional ◽  
Parameter Study ◽  
Print Quality ◽  
3D Graphene ◽  
Optical And Mechanical Properties ◽  
Complex Architecture ◽  
Directional Freezing

Graphene is one of the most promising carbon nanomaterial due to its excellent electrical, thermal, optical, and mechanical properties. However, it is still very challenging to unlock its exotic properties and widely adopt it in real-world applications. In this paper, we introduce a new three-dimensional (3D) graphene structure printing approach with pure graphene oxide (GO) material, better interlayer bonding, and complex architecture printing capability. Various parameters related to this novel process are discussed in detail in order to improve the printability, reliability, and accuracy. We have shown that the print quality largely depends on the duty cycle of print head, applied pressure, and traveling velocity during printing. A set of printed samples are presented to demonstrate the effectiveness of the proposed technique along with the optimal parameter settings. The proposed process proves to be a promising 3D printing technique for fabricating multiscale nanomaterial structures. The theory revealed and parameters investigated herein are expected to significantly advance the knowledge and understanding of the fundamental mechanism of the proposed directional freezing-based 3D nano printing process. Furthermore, the outcome of this research has the potential to open up a new avenue for fabricating multifunctional nanomaterial objects.

scholarly journals Hugoniot Data and Equation of State Parameters for an Ultra-High Performance Concrete

2021 ◽  
Author(s):  
C. Sauer ◽  
F. Bagusat ◽  
M.-L. Ruiz-Ripoll ◽  
C. Roller ◽  
M. Sauer ◽  
...  
Keyword(s):  
Equation Of State ◽  
High Performance ◽  
High Performance Concrete ◽  
Applied Pressure ◽  
High Strength ◽  
Parameter Study ◽  
Ultra High Performance Concrete ◽  
Data Set ◽  
Shock Response ◽  
Particle Velocities

AbstractThis work aims at the characterization of a modern concrete material. For this purpose, we perform two experimental series of inverse planar plate impact (PPI) tests with the ultra-high performance concrete B4Q, using two different witness plate materials. Hugoniot data in the range of particle velocities from 180 to 840 m/s and stresses from 1.1 to 7.5 GPa is derived from both series. Within the experimental accuracy, they can be seen as one consistent data set. Moreover, we conduct corresponding numerical simulations and find a reasonably good agreement between simulated and experimentally obtained curves. From the simulated curves, we derive numerical Hugoniot results that serve as a homogenized, mean shock response of B4Q and add further consistency to the data set. Additionally, the comparison of simulated and experimentally determined results allows us to identify experimental outliers. Furthermore, we perform a parameter study which shows that a significant influence of the applied pressure dependent strength model on the derived equation of state (EOS) parameters is unlikely. In order to compare the current results to our own partially reevaluated previous work and selected recent results from literature, we use simulations to numerically extrapolate the Hugoniot results. Considering their inhomogeneous nature, a consistent picture emerges for the shock response of the discussed concrete and high-strength mortar materials. Hugoniot results from this and earlier work are presented for further comparisons. In addition, a full parameter set for B4Q, including validated EOS parameters, is provided for the application in simulations of impact and blast scenarios.

Thermal Analysis on Directional Freezing of Nano Aqueous Suspensions in Graphene Aerogel 3D Printing Process

2016 ◽  
Author(s):  
Guanglei Zhao ◽  
Chi Zhou ◽  
Dong Lin
Keyword(s):  
3D Printing ◽  
Waiting Time ◽  
Temperature Evolution ◽  
Process Efficiency ◽  
Transfer Model ◽  
Graphene Aerogel ◽  
Flexible Tool ◽  
Printed Materials ◽  
Directional Freezing ◽  
Efficiency And Reliability

This paper presented a novel 3D printing technique to fabricate graphene aerogel based on directional freezing. Thermal property of the graphene ink is one of key factors in this process which affects the material integrity and morphology as well as process efficiency and reliability. The major objective of this paper is to develop a heat transfer model to efficiently and reliably predict the temperature evolution of the printed materials and the waiting time between the layers for any input geometry. The simulation results show that the input geometry significantly affects the temperature evolution and waiting time. The proposed technique can not only improve the process efficiency and reliability, it can also serve as a flexible tool to predict and control the microstructure of the printed graphene aerogels.

scholarly journals Optimization of Printing Parameters for Digital Light Processing 3D Printing of Hollow Microneedle Arrays

Pharmaceutics ◽  
2021 ◽  
Vol 13 (11) ◽  
pp. 1837
Author(s):  
Essyrose Mathew ◽  
Giulia Pitzanti ◽  
Ana L. Gomes dos Santos ◽  
Dimitrios A. Lamprou
Keyword(s):  
Drug Delivery ◽  
3D Printing ◽  
Mechanical Strength ◽  
Print Quality ◽  
Digital Light Processing ◽  
Uv Curable ◽  
Microneedle Arrays ◽  
Uv Curable Resin ◽  
Viable Method ◽  
Printing Parameters

3D printing is an emerging technology aiming towards personalized drug delivery, among many other applications. Microneedles (MN) are a viable method for transdermal drug delivery that is becoming more popular for delivery through the skin. However, there is a need for a faster fabrication process with potential for easily exploring different geometries of MNs. In the current study, a digital light processing (DLP) method of 3D printing for fabrication of hollow MN arrays using commercial UV curable resin was proposed. Print quality was optimised by assessing the effect of print angle on needle geometries. Mechanical testing of MN arrays was conducted using a texture analyser. Angled prints were found to produce prints with geometries closer to the CAD designs. Curing times were found to affect the mechanical strength of MNs, with arrays not breaking when subjected to 300 N of force but were bent. Overall, DLP process produced hollow MNs with good mechanical strength and depicts a viable, quick, and efficient method for the fabrication of hollow MN arrays.

scholarly journals Cast Iron Parts Obtained in Ceramic Molds Produced by Binder Jetting 3D Printing—Morphological and Mechanical Characterization

Materials ◽  
2021 ◽  
Vol 14 (16) ◽  
pp. 4502
Author(s):  
Răzvan Păcurar ◽  
Petru Berce ◽  
Ovidiu Nemeş ◽  
Diana-Irinel Băilă ◽  
Dan Sergiu Stan ◽  
...  
Keyword(s):  
Cast Iron ◽  
3D Printing ◽  
Applied Pressure ◽  
Mechanical Tests ◽  
Spheroidal Graphite ◽  
Element Analysis ◽  
Lamellar Graphite ◽  
Von Mises ◽  
Von Mises Stresses ◽  
Binder Jetting

Mechanical behavior and characteristics of two different types of materials: cast iron with lamellar graphite EN-GJL-250 and cast iron with spheroidal graphite EN-GJS-400-15 which were cast in ceramic molds using gravitational casting method has considered in this research. The ceramic molds were obtained by 3D printing method. First, a finite element analysis was developed to determine Tresca and von Mises stresses and the deformations of the ceramic molds under an applied pressure of 25 MPa. Samples were produced by gravitational casting using two types of cast iron materials. Mechanical tests were made using samples produced from these two types of materials and microstructure analysis evaluation of fractured zones was realized by scanning electron microscopy. Obtained results were finally used for designing, developing, and producing of one ‘hydraulic block’ of a railway installation by the Benninger Guss company of Switzerland.

Parameter Study of Asymptotic Sampling for Truss Structures Reliability

2014 ◽  
Vol 969 ◽  
pp. 288-293 ◽  
Author(s):  
Adéla Hlobilová ◽  
Matěj Lepš
Keyword(s):  
Sampling Method ◽  
Optimal Parameter ◽  
Latin Hypercube Sampling ◽  
High Sensitivity ◽  
Truss Structures ◽  
Parameter Study ◽  
Asymptotic Results ◽  
New Techniques ◽  
Simulation Techniques ◽  
Asymptotic Sampling

Sampling methods for predicting a reliability index such as Monte Carlo or Latin Hypercube Sampling are very time consuming thus advanced simulation techniques are frequently used. The asymptotic sampling is one of new techniques based on asymptotic results from reliability theory supported with a simple regression. Since the high sensitivity of the asymptotic sampling method to the control parameters has been reported, this contribution is focused on a study of the optimal parameter setting. The well-known truss structure is introduced and results with different parameter settings are presented.

scholarly journals 3D Printing of Objects with Continuous Spatial Paths by A Multi-Axis Robotic FFF Platform

2021 ◽  
Vol 11 (11) ◽  
pp. 4825
Author(s):  
Yuan Yao ◽  
Yichi Zhang ◽  
Mohamed Aburaia ◽  
Maximilian Lackner
Keyword(s):  
3D Printing ◽  
Surface Quality ◽  
Degrees Of Freedom ◽  
Arm Movement ◽  
Print Quality ◽  
Robot Arm ◽  
Fused Filament Fabrication ◽  
Toolpath Planning ◽  
Staircase Effect ◽  
Generate Curve

Conventional Fused Filament Fabrication (FFF) equipment can only deposit materials in a single direction, limiting the strength of printed products. Robotic 3D printing provides more degrees of freedom (DOF) to control the material deposition and has become a trend in additive manufacturing. However, there is little discussion on the strength effect of multi-DOF printing. This paper presents an efficient process framework for multi-axis 3D printing based on the robot to improve the strength. A multi-DOF continuous toolpath planning method is designed to promote the printed part’s strength and surface quality. We generate curve layers along the model surfaces and fill Fermat spiral in the layers. The method makes it possible to take full advantage of the multi-axis robot arm to achieve smooth printing on surfaces with high curvature and avoid the staircase effect and collision in the process. To further improve print quality, a control strategy is provided to synchronize the material extrusion and robot arm movement. Experiments show that the tensile strength increases by 22–167% compared with the conventional flat slicing method for curved-surface parts. The surface quality is improved by eliminating the staircase effect. The continuous toolpath planning also supports continuous fiber-reinforced printing without a cutting device. Finally, we compared with other multi-DOF printing, the application scenarios, and limitations are given.

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