Investigation of migration behavior of rod-like dsDNA in gel with precisely controlled network structure

2014 ◽  
Vol 1622 ◽  
pp. 169-174
Author(s):  
Xiang Li ◽  
Kateryna Khairulina ◽  
Ung-il Chung ◽  
Takamasa Sakai
Keyword(s):  
Network Structure ◽  
High Performance ◽  
Polymer Solutions ◽  
Volume Fraction ◽  
Polymer Network ◽  
Migration Behavior ◽  
Size Separation ◽  
Double Stranded Dna ◽  
Homogeneous Network ◽  
Polymer Volume

ABSTRACTWe investigated the migration behavior of rodlike double-stranded DNA (dsDNA) in polymer gels and polymer solutions. Tetra-PEG gel, which has a homogeneous network structure, was utilized as a model system, allowing us to systematically tune the polymer volume fraction and molecular weight of network strand. Although we examined the applicability of the existing models, all the models failed to predict the migration behavior. Thus, we proposed a new model based on the Ogston model, which well explained the experimental data of polymer solutions and gels. The polymer volume fraction determined the maximum mobility, while the network strand governed the size sieving effect. From these results, we conclude that the polymer network with lower polymer volume fraction and smaller network strand is better in terms of size separation. The homogeneous polymer network is vital for understanding of particles’ dynamics in polymer network and a promising material for high-performance size separation.

Stress Strain Isotherms for Poly-(Dimethylsiloxane) Networks

1968 ◽  
Vol 41 (5) ◽  
pp. 1140-1147 ◽  
Author(s):  
J. E. Mark ◽  
P. J. Flory
Keyword(s):  
Experimental Data ◽  
Network Structure ◽  
Volume Fraction ◽  
Relative Length ◽  
Molecular Theory ◽  
Additional Parameter ◽  
Stress Strain ◽  
Initial Area ◽  
Degree Of Swelling ◽  
Polymer Volume

Abstract Stress strain isotherms are presented for poly (dimethylsiloxane) networks of different degrees of crosslinking, swollen to various extents by a diluent. Results are interpreted in terms of the equation f*v21/3V/(α−α−2)=2C1+2C2α−1, where ƒ* is the tension per unit initial area (unswollen) exhibited by a network when swollen to a polymer volume fraction v2 and elongated to the relative length α, 2C1 is a parameter of the network structure established by the molecular theory of rubber elasticity, and 2C2 is an additional parameter found to give a better representation of experimental data. Values of C2 obtained for networks are found to decrease as the degree of crosslinking is decreased, and the degree of swelling is increased.

Macroprobe Mode for the Study of Segregation in Steels

1990 ◽  
Vol 48 (2) ◽  
pp. 260-261
Author(s):  
Auclair Gilles ◽  
Benoit Danièle
Keyword(s):  
Mechanical Properties ◽  
Spatial Distribution ◽  
High Performance ◽  
Volume Fraction ◽  
Sheet Steel ◽  
Acquisition Time ◽  
Chemical Information ◽  
X Ray ◽  
Accurate Quantitative Analysis ◽  
Optical Micrographs

During these last 10 years, high performance correction procedures have been developed for classical EPMA, and it is nowadays possible to obtain accurate quantitative analysis even for soft X-ray radiations. It is also possible to perform EPMA by adapting this accurate quantitative procedures to unusual applications such as the measurement of the segregation on wide areas in as-cast and sheet steel products.The main objection for analysis of segregation in steel by means of a line-scan mode is that it requires a very heavy sampling plan to make sure that the most significant points are analyzed. Moreover only local chemical information is obtained whereas mechanical properties are also dependant on the volume fraction and the spatial distribution of highly segregated zones. For these reasons we have chosen to systematically acquire X-ray calibrated mappings which give pictures similar to optical micrographs. Although mapping requires lengthy acquisition time there is a corresponding increase in the information given by image anlysis.

scholarly journals Estimating the phase volume fraction of multi-phase steel via unsupervised deep learning

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Sung Wook Kim ◽  
Seong-Hoon Kang ◽  
Se-Jong Kim ◽  
Seungchul Lee
Keyword(s):  
High Performance ◽  
Materials Science ◽  
Volume Fraction ◽  
Training Data ◽  
Phase Fraction ◽  
Phase Volume ◽  
Generative Adversarial Network ◽  
Phase Volume Fraction ◽  
Original Dataset ◽  
Multi Phase

AbstractAdvanced high strength steel (AHSS) is a steel of multi-phase microstructure that is processed under several conditions to meet the current high-performance requirements from the industry. Deep neural network (DNN) has emerged as a promising tool in materials science for the task of estimating the phase volume fraction of these steels. Despite its advantages, one of its major drawbacks is its requirement of a sufficient amount of training data with correct labels to the network. This often comes as a challenge in many areas where obtaining data and labeling it is extremely labor-intensive. To overcome this challenge, an unsupervised way of learning DNN, which does not require any manual labeling, is proposed. Information maximizing generative adversarial network (InfoGAN) is used to learn the underlying probability distribution of each phase and generate realistic sample points with class labels. Then, the generated data is used for training an MLP classifier, which in turn predicts the labels for the original dataset. The result shows a mean relative error of 4.53% at most, while it can be as low as 0.73%, which implies the estimated phase fraction closely matches the true phase fraction. This presents the high feasibility of using the proposed methodology for fast and precise estimation of phase volume fraction in both industry and academia.

Joining between Ceramics and Metal in Composite Pipes Fabricated by the SHS Metallurgical Process

2007 ◽  
Vol 280-283 ◽  
pp. 887-890
Author(s):  
Zhong Min Zhao ◽  
Long Zhang ◽  
Jian Jiang Wang ◽  
Shi Yan ◽  
Jin Rong Cao
Keyword(s):  
High Performance ◽  
Volume Fraction ◽  
Layer Structure ◽  
Mechanical Test ◽  
Steel Substrate ◽  
Low Cost ◽  
Metallurgical Process ◽  
Ni Powder ◽  
Suitable Amount ◽  
Composite Pipes

The design on joining of metal and ceramics in composite pipes fabricated by the SHS metallurgical process is carried on with adding (TiO2 +Al+C+Ni) subsystem in(CrO3+Al) system, and the composite pipes with three-layer structure of steel substrate, intermediate alloy and lined ceramics are fabricated with low cost and high performance. Combustion determination and mechanical test indicate that adding suitable amount of Ni powder in combustion system rather than (NiO+Al) subsystem can cause combustion behavior of a whole system and volume fraction of the carbides to be controlled easily, and is beneficial to improve joining of the intermediate alloy and steel substrate, causing compression strength and compression shear strength of the composite pipes to be increased greatly.

Effect of temporary network structure on linear and nonlinear viscoelasticity of polymer solutions

2015 ◽  
Vol 27 (2) ◽  
pp. 151-161 ◽  
Author(s):  
Kwang Soo Cho ◽  
Jae Woo Kim ◽  
Jung-Eun Bae ◽  
Ji Ho Youk ◽  
Hyun Jeong Jeon ◽  
...  
Keyword(s):  
Network Structure ◽  
Polymer Solutions ◽  
Nonlinear Viscoelasticity ◽  
Temporary Network ◽  
Linear And Nonlinear

An advanced geometrical model for laminated woven fabrics using Lamé exponents with enhanced accuracy

2017 ◽  
Vol 52 (11) ◽  
pp. 1443-1455
Author(s):  
Mike Mühlstädt ◽  
Wolfgang Seifert ◽  
Matthias ML Arras ◽  
Stefan Maenz ◽  
Klaus D Jandt ◽  
...  
Keyword(s):  
High Performance ◽  
Volume Fraction ◽  
Level Structure ◽  
Three Dimensional ◽  
Geometrical Model ◽  
Woven Fabrics ◽  
Fiber Volume ◽  
Meso Level ◽  
Precise Prediction ◽  
Microscopy Images

Three-dimensional stiffness tensors of laminated woven fabrics used in high-performance composites need precise prediction. To enhance the accuracy in three-dimensional stiffness tensor prediction, the fabric’s architecture must be precisely modeled. We tested the hypotheses that: (i) an advanced geometrical model describes the meso-level structure of different fabrics with a precision higher than established models, (ii) the deviation between predicted and experimentally determined mean fiber-volume fraction ( cf) of laminates is below 5%. Laminates of different cf and fabrics were manufactured by resin transfer molding. The laminates’ meso-level structure was determined by analyzing scanning electron microscopy images. The prediction of the laminates’ cf was improved by up to 5.1 vol% ([Formula: see text]%) compared to established models. The effect of the advanced geometrical model on the prediction of the laminate’s in-plane stiffness was shown by applying a simple mechanical model. Applying an advanced geometrical model may lead to more accurate simulations of parts for example in automotive and aircraft.

Interpenetrating Covalent Adaptable Networks with Enhanced Mechanical Properties and Facile Reprocessability and Recyclability

2021 ◽  
Author(s):  
Yufeng Lei ◽  
Anqiang Zhang ◽  
Yaling Lin
Keyword(s):  
Mechanical Properties ◽  
High Performance ◽  
Polymer Network ◽  
Continuous Phase ◽  
Interpenetrating Polymer Network

Blending polymers has always been a critical strategy toward high-performance materials. By creating interpenetrating polymer network (IPN), the incompatibility of different polymers could be overcome and a favorable bi-continuous phase...

scholarly journals Effects of Pumice-Based Porous Material on Hydration Characteristics and Persistent Shrinkage of Ultra-High Performance Concrete (UHPC)

Materials ◽  
2018 ◽  
Vol 12 (1) ◽  
pp. 11 ◽  
Author(s):  
Kaizhi Liu ◽  
Rui Yu ◽  
Zhonghe Shui ◽  
Xiaosheng Li ◽  
Xuan Ling ◽  
...  
Keyword(s):  
High Performance ◽  
High Performance Concrete ◽  
Volume Fraction ◽  
Energy Dispersive Spectrometer ◽  
Effective Area ◽  
Mineral Admixtures ◽  
Ultra High Performance Concrete ◽  
Composition And Structure ◽  
Different Diameters ◽  
Hydration Characteristics

In this paper, two kinds of pumice particles with different diameters and water absorption rates are employed to substitute the corresponding size of river sands by volume fraction, and their effects on the hydration characteristics and persistent shrinkage of Ultra-High Performance Concrete (UHPC) are investigated. The obtained experimental results show that adopting a low dosage of 0.6–1.25 mm saturated pumice as the internal curing agent in UHPC can effectively retract the persistent shrinkage deformation of concrete without a decrease of strength. Heat flow calorimetry results demonstrate that the additional water has a retarding effect and promotes the hydration process. X-ray Diffraction (XRD) and Differential Thermal Gravimetry (DTG) are utilized to quantify the Ca(OH)2 content in the hardened paste, which can confirm that the external moisture could accelerate the early cement hydration and secondary hydration of active mineral admixtures. The Ca/Si ratio of C–S–H calculated by the Energy Dispersive Spectrometer (EDS) reveals that the incorporation of wet pumice can transform the composition and structure of hydration products in its effective area.

Dynamic Attenuation and Compressive Characterization of Syntactic Foams

2013 ◽  
Vol 135 (3) ◽  
Author(s):  
Bhaskar Ale ◽  
Carl-Ernst Rousseau
Keyword(s):  
High Performance ◽  
Volume Fraction ◽  
Ultrasonic Attenuation ◽  
Dynamic Properties ◽  
High Strength ◽  
Particulate Composites ◽  
Syntactic Foams ◽  
Core Elements ◽  
Marine Applications ◽  
Damping Materials

Hollow particulate composites are lightweight, have high compressive strength, are low moisture absorbent, have high damping materials, and are used extensively in aerospace, marine applications, and in the manufacture of sandwich composites core elements. The high performance of these materials is achieved by adding high strength hollow glass particulates (microballoons) to an epoxy matrix, forming epoxy-syntactic foams. The present study focuses on the effect of volume fraction and microballoon size on the ultrasonic and dynamic properties of Epoxy Syntactic Foams. Ultrasonic attenuation coefficient from an experiment is compared with a previously developed theoretical model for low volume fractions that takes into account attenuation loss due to scattering and absorption. The guidelines of ASTM Standard E 664-93 are used to compute the apparent attenuation. Quasi-static compressive tests were also conducted to fully characterize the material. Both quasi-static and dynamic properties, as well as coefficients of attenuation and ultrasonic velocities are found to be strongly dependent upon the volume fraction and size of the microballoons.

Synthesis and characterization of a novel wound dressing by PVP/ PAANa/chitosan with semi-interpenetrating polymer network structure

e-Polymers ◽  
2012 ◽  
Vol 12 (1) ◽  
Author(s):  
Ying Wu ◽  
Qing Yang ◽  
Yali Gi ◽  
Yueting Zhang
Keyword(s):  
Network Structure ◽  
Wound Dressing ◽  
Polymer Network ◽  
Interpenetrating Polymer Network ◽  
Wound Dressings ◽  
Synthesis And Characterization ◽  
Cross Linking ◽  
Mass Ratio ◽  
Scanning Electron

AbstractA novel hydrogel wound dressing with semi-interpenetrating polymer network structure (semi-IPN) was prepared by radical polymerization of acrylic acid with potassium persulfate (K2S2O8) as initiator and N, N'-methylenebisacrylamide (MBA) as cross-linking agent in the presence of chitosan (CTS) and polyvinyl pyrrolidone (PVP). Hydrogels were characterized by scanning electron microscopy (SEM) and Fourier transform infrared spectroscopy (FTIR). SEM displayed semi- IPN hydrogels' creased surface with some scale-like wrinkles, thus improving the absorptive capability which has been considered as a most important characteristic of wound dressings. It was found that the content of cross-linking agent and the mass ratio of PVP and CTS had much influence on the mechanical properties of the hydrogel, varying from brittle plastics to elastomer due to the different degrees of cross linking. Since tensile strength is partly in inverse ratio to the hydrogel absorbent capability, the article offers an analysis of varying material proportion in order to obtain an optimum properties of the hydrogel wound dressing .

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