scholarly journals Poroelastic properties of hydrogel microparticles

Soft Matter ◽  
2020 ◽  
Vol 16 (22) ◽  
pp. 5314-5324 ◽  
Author(s):  
Joseph D. Berry ◽  
Matthew Biviano ◽  
Raymond R. Dagastine
Keyword(s):  
Material Properties ◽  
Experimental Measurements ◽  
Spherical Probe ◽  
Hydrogel Microparticles ◽  
Particle Material ◽  
Force Relaxation ◽  
Hydrogel Particle ◽  
First Time

The universal force relaxation of a poroelastic hydrogel particle undergoing constant compression by a spherical probe is determined, allowing analysis of experimental measurements of hydrogel particle material properties for the first time.

A Simple Approach to Characterize Finite Compressibility of Elastomers

2003 ◽  
Vol 76 (4) ◽  
pp. 912-922 ◽  
Author(s):  
Mark R. Gurvich ◽  
Thomas S. Fleischman
Keyword(s):  
Carbon Black ◽  
Bulk Modulus ◽  
Experimental Verification ◽  
Material Properties ◽  
Numerical Approach ◽  
Simple Approach ◽  
Experimental Measurements ◽  
Axially Loaded ◽  
Different Levels

Abstract A hybrid experimental-numerical approach is proposed for accurate dimensionless characterization of rubber finite compressibility. Rubber specimens in the form of bonded rubber disks are considered as elastomeric structures with unknown material properties. These properties are calculated by matching results of FEA with experimental measurements of radial deformations of the axially-loaded disks. The approach may be used for reliable characterization of Poisson's ratio, bulk modulus, or other characteristics of interest. Implementation of the approach is considered for two representative elastomeric compounds with different levels of carbon black. Good experimental verification of the approach is shown at different levels of loading. Moreover, the same parameters of finite compressibility are independently obtained using both compressive and tensile loads. Higher compressibility is observed for a compound with larger content of carbon black as expected.

Modelling Semi-Solid Behaviour and Brittle Temperature Range

2019 ◽  
Vol 285 ◽  
pp. 361-366 ◽  
Author(s):  
Khalil Traidi ◽  
Véronique Favier ◽  
Philippe Lestriez ◽  
Karl Debray ◽  
Laurent Langlois ◽  
...  
Keyword(s):  
Solid State ◽  
Material Properties ◽  
Solid Phase ◽  
Thermal Conditions ◽  
Tensile Tests ◽  
Internal Variable ◽  
Temperature Dependent ◽  
Brittle Transition ◽  
Semi Solid ◽  
First Time

In this paper, a new elastic viscoplastic micromechanical modelling is proposed to represent the semi-solid behaviour and predict the ductile-brittle transition of the C38LTT near the solidus. It is based on a viscoplastic modelling previously presented in [1]. The originality of the new model comes from three main enhancements: the transition between the solid state and the semi-solid state was included meaning that the material properties were taken temperature-dependent, the elastic properties was taken into account similarly as [2] and the evolution of the internal variable describing the degree of agglomeration of the solid phase was enhanced. The model was implemented in the commercial software FORGE©. Tensile tests representing the experimental thermal conditions and obtained using a GLEEBLE© machine were simulated. The comparison of the predicted and experimental results shows that, for the first time to our knowledge, the three steps of the load-displacement response and ductile-brittle transition were successfully described.

scholarly journals DESIGN OF PARTICULATE MATERIAL COMPACTOR ROLLS DIAMETER

2017 ◽  
Vol 57 (4) ◽  
pp. 263
Author(s):  
Peter Peciar ◽  
Oliver Macho ◽  
Maroš Eckert ◽  
Roman Fekete ◽  
Peter Kotora ◽  
...  
Keyword(s):  
Energy Consumption ◽  
Powder Material ◽  
Material Properties ◽  
Fine Powder ◽  
Particulate Material ◽  
Great Emphasis ◽  
Experimental Measurements ◽  
Compression Pressure ◽  
Industrial Expansion ◽  
Theoretical Design

At present, in a period of an industrial expansion great emphasis is placed on the environment. That means aiming for a reduced energy consumption, and also lessening dustiness from very fine powder material. This category also includes particulate material agglomeration processes. Because this process is very energy-intensive, it is necessary to correctly design these devices. The aim of this paper is to focus on a theoretical design of a production compactor with the rolls diameter for an experimental particulate material, based on Johanson’s theory and experimentally measured material properties. The material used for experimental measurements was an NPK-based industrial fertilizer consisting of several components. The results of this paper is the dependence of the ratio of the maximum compression pressure to the initial compression pressure from the rolls diameter of the proposed compactor.

scholarly journals Dense, Strong, and Precise Silicon Nitride-Based Ceramic Parts by Lithography-Based Ceramic Manufacturing

2020 ◽  
Vol 10 (3) ◽  
pp. 996 ◽  
Author(s):  
Altan Alpay Altun ◽  
Thomas Prochaska ◽  
Thomas Konegger ◽  
Martin Schwentenwein
Keyword(s):  
Surface Roughness ◽  
High Temperature ◽  
Light Scattering ◽  
Silicon Nitride ◽  
Material Properties ◽  
Refractive Indices ◽  
High Relative Density ◽  
Ceramic Manufacturing ◽  
High Level ◽  
First Time

Due to the high level of light absorption and light scattering of dark colored powders connected with the high refractive indices of ceramic particles, the majority of ceramics studied via stereolithography (SLA) have been light in color, including ceramics such as alumina, zirconia and tricalcium phosphate. This article focuses on a lithography-based ceramic manufacturing (LCM) method for β-SiAlON ceramics that are derived from silicon nitride and have excellent material properties for high temperature applications. This study demonstrates the general feasibility of manufacturing of silicon nitride-based ceramic parts by LCM for the first time and combines the advantages of SLA, such as the achievable complexity and low surface roughness (Ra = 0.50 µm), with the typical properties of conventionally manufactured silicon nitride-based ceramics, such as high relative density (99.8%), biaxial strength (σf = 764 MPa), and hardness (HV10 = 1500).

Thermal Cycling Simulation during Remelting Process of the Steel ASTM A743-CA6NM

2014 ◽  
Vol 1082 ◽  
pp. 100-105
Author(s):  
Camila Almeida Martins ◽  
Jhon Jairo Ramirez-Behainne
Keyword(s):  
Numerical Model ◽  
Thermal Cycling ◽  
Material Properties ◽  
Three Dimensional ◽  
Fusion Line ◽  
Maximum Deviation ◽  
Experimental Measurements ◽  
Ansys Fluent ◽  
Simplifying Assumptions ◽  
Volume Method

This study aimed to model numerically the thermal cycling resulting from the steel ASTM A743-CA6NM remelting process. The problem was solved with the support of the commercial software ANSYS / FLUENT ® 14.5 for the three-dimensional case using the finite volume method. The following simplifying assumptions were adopted: heat loss by natural convection, absence of radiation, no phase change, concentrated heat source, and thermophysical properties independent of temperature. The results were analyzed for two different current intensities: 90A and 130A, and compared with experimental measurements. The peak temperatures of the thermocouples near the fusion line for the current of 130A were well represented by the numerical model, with a maximum deviation of 9.62%. In the case of the more remote thermocouples from the fusion line, the best results were obtained for the current of 90A, not exceeding 5% of deviation. In general, it was found that the tested body is heated faster than in simulations. This can be considered as a consequence of the simplification in material properties, which were assumed constants with temperature. The results of this study demonstrate that, given the adopted simplifications, the numerical model was able to satisfactorily reproduce the experimentally measured thermal cycles.

Mechanical, thermal, and electrochemical properties of Pr doped ceria from wafer curvature measurements

2018 ◽  
Vol 20 (43) ◽  
pp. 27350-27360 ◽  
Author(s):  
Yuxi Ma ◽  
Jason D. Nicholas
Keyword(s):  
Electrochemical Properties ◽  
Material Properties ◽  
Current Collector ◽  
Doped Ceria ◽  
Wafer Curvature ◽  
Curvature Measurements ◽  
Exchange Material ◽  
First Time ◽  
Electrochemical Oxygen

This work demonstrates, for the first time, that a variety of disparate and technologically-relevent thermal, mechanical, and electrochemical oxygen-exchange material properties can all be obtained from in situ, current-collector-free wafer curvature measurements.

Finite element simulation of folding carton erection failure

2007 ◽  
Vol 221 (7) ◽  
pp. 753-767 ◽  
Author(s):  
D M Sirkett ◽  
B J Hicks ◽  
C Berry ◽  
G Mullineux ◽  
A J Medland
Keyword(s):  
Finite Element ◽  
Material Properties ◽  
High Speed ◽  
Element Model ◽  
Machine Material ◽  
Linear Elastic ◽  
Element Simulation ◽  
Packaging Industry ◽  
First Time ◽  
The Eu

In response to recent European Union (EU) regulations on packaging waste, the packaging industry requires greater fundamental understanding of the machine-material interactions that take place during packaging operations. Such an understanding is necessary to handle thinner lighter-weight materials, specify the material properties required for successful processing and design right-first-time machinery. The folding carton industry, in particular, has been affected by the new legislation and needs to realize the potential of computational tools for simulating the behaviour of packaging materials and generating the necessary understanding. This paper describes the creation and validation of a detailed finite element model of a carton during a common packaging operation. The model is applied here to address the problem of carton buckling. The carton was modelled using a linear elastic material definition with non-linear crease behaviour. Air inrush suction, which is believed to cause buckling, was quantified experimentally and incorporated using contact damping interactions. The results of the simulation are validated against high-speed video of carton production. The model successfully predicts the pattern of deformation of the carton during buckling and its increasing magnitude with production rate. The model can be applied to study the effects of variation in material properties, pack properties and machine settings. Such studies will improve responsiveness to change and will ultimately allow end-users to use thinner, lighter-weight materials in accordance with the EU regulations.

Approach to Determine Electrochemical Interface Structure from Surface Optical Spectroscopy

1997 ◽  
Vol 51 (3) ◽  
pp. 323-331 ◽  
Author(s):  
R. Georgiadis ◽  
S. G. Lambrakos ◽  
P. P. Trzaskoma-Paulette
Keyword(s):  
Response Function ◽  
Second Harmonic ◽  
Interface Structure ◽  
Experimental Measurements ◽  
Surface Optical ◽  
Electrochemical Interface ◽  
First Time ◽  
General Method

We present a general approach for establishing correlations between the optical second-harmonic (SH) response generated from a metal/electrolyte interface and the interface structure. Our approach entails the construction of a response function for optical second-harmonic generation (SHG) from the metal surface in the presence of an electrolyte and an applied electrochemical field. The response function approach, a powerful and general method, is developed here for the first time for SHG data. Here, the response function describes the nonlinear optical response of a mesoscopic region of the surface to an applied static mesoscopic electric field and is a characterization of how the electrostatic nature of the surface responds to changes in the concentration and composition of the electrolyte. We construct the response function from experimental measurements of the SH response and from models representing known interface structure. A significant aspect of our approach is that it combines, through the modification of the response function, existing models of metal-interface structure with models for mechanisms of SHG response. Our approach provides, therefore, a framework for correlating existing and emerging models of the double layer with optical experimental measurements. Case study analyses of prototype interface systems are presented here, demonstrating applications of our approach.

High-Pressure Pipelines Repaired by Steel Sleeve and Epoxy Composition

2013 ◽  
Vol 486 ◽  
pp. 181-188 ◽  
Author(s):  
Pavol Novák ◽  
Milan Žmindák ◽  
Zoran Pelagić
Keyword(s):  
Finite Element Method ◽  
Finite Element ◽  
High Pressure ◽  
Material Properties ◽  
Welded Joint ◽  
Experimental Measurements ◽  
Filling Material ◽  
Epoxy Composition ◽  
State Of Stress ◽  
Steel Sleeve

The aim of this paper is first to determine the state of stress of welded joint repaired by steel sleeve and epoxy composition. Experimental measurements are performed on samples to determine required material properties. The structural analysis by finite element method (FEM) is performed for a pressurized pipe with insufficiently welded root and installed cold sleeve. Simulated is the case of depressurized pipes that could cause a breach of cohesion between filling material and surface of pipe or sleeve with usage of cohesive finite elements. In the end the sleeve dimensions are optimized with respect to maximum integrity to the repaired sleeve.

scholarly journals Solving the problem of classification of material properties using a neural network

2021 ◽  
Vol 2131 (3) ◽  
pp. 032084
Author(s):  
N E Babushkina ◽  
A A Lyapin
Keyword(s):  
Neural Network ◽  
Experimental Data ◽  
Recurrent Neural Network ◽  
Material Properties ◽  
Practical Significance ◽  
Experimental Measurements ◽  
Statistical Parameters ◽  
The Neural Network ◽  
Main Components

Abstract The article sets the task of classifying various materials and determining their belonging to a specified group using a recurrent neural network. The practical significance of the article is to obtain the results of the neural network, confirming the possibility of classifying materials by the hardness parameter using a neural network. As part of the study, a number of experimental measurements were carried out. The structure of the neural network and its main components are described. The statistical parameters of the experimental data are estimated.

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