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Online since: October 2014
Authors: Huan Kan, Jian Hua Qi, Zeng-Yu Yao, Mi Zhou, Ping Su
Actually, among these treatments, sorption is a traditional way to remove metal ions efficiently from sewage, and an effective adsorbent is one of the key factors for the development of wastewater treatment.
However, it is deficient in mechanical strength and soluble resistance to water.
These properties prevent the direct utilization of the pigment from being a sorbent for wastewater treatment.
After cooling down to room temperature, they were adjusted to pH below 3 with 6 mol L−1 HCl being in company with mechanical stirring.
(1) The ratio of chestnut shell pigment to SiO2 significantly affects the removal efficiency, exhibiting that a higher proportion of the former gives a better sorption performance
However, it is deficient in mechanical strength and soluble resistance to water.
These properties prevent the direct utilization of the pigment from being a sorbent for wastewater treatment.
After cooling down to room temperature, they were adjusted to pH below 3 with 6 mol L−1 HCl being in company with mechanical stirring.
(1) The ratio of chestnut shell pigment to SiO2 significantly affects the removal efficiency, exhibiting that a higher proportion of the former gives a better sorption performance
Online since: August 2007
Authors: Janice M. Dulieu-Barton, Nuttaphon Sathon
Therefore three types of materials have been chosen based on
the thermal properties: aluminium alloy, mild steel and Polymethyl methacrylate (PMMA).
Details of the specimen dimensions are given in Table 1, with typical material properties given in Table 2.
z x y Figure 1 Test specimen Table 1 Specimen dimensions Table 2 Mechanical and Thermal properties of the materials used in this study For each specimen thermoelastic data was recorded at the following frequencies: 2, 3, 5, 10, 20, 30 and 40 Hz.
∆T was calculated using equation (1) with the material properties given in Table 2 and is also given in Table 3.
The thermoelastic response from the TSA was normalised and plotted as stress factors (see above) in Figure 2.
Details of the specimen dimensions are given in Table 1, with typical material properties given in Table 2.
z x y Figure 1 Test specimen Table 1 Specimen dimensions Table 2 Mechanical and Thermal properties of the materials used in this study For each specimen thermoelastic data was recorded at the following frequencies: 2, 3, 5, 10, 20, 30 and 40 Hz.
∆T was calculated using equation (1) with the material properties given in Table 2 and is also given in Table 3.
The thermoelastic response from the TSA was normalised and plotted as stress factors (see above) in Figure 2.
Online since: September 2024
Authors: Alianna Ronquillo, Maria Angelica Reyes, Denisse Jonel Pavia, Aljohn Punongbayan, Eduardo R. Magdaluyo Jr.
Table 2 outlines the mechanical properties of the materials used for the plate.
Additional solver properties, including initial conditions, analysis settings, fixed support, and outputs, were specified.
[2] A Guide to the Grades, Properties and Uses of Military Steel (2018) https://www.azom.com/ article.aspx?
Romijarso, Effects of austenitizing and forging on mechanical properties of MIL A-12560/AISI 4340 steel, IOP Conference Series: Materials Science and Engineering 202 (2017) 1-5
Bergmann, Ballistic ceramics and analysis of their mechanical properties for armour applications: a review, Ceramics International 47(7) (2021) 8743–8761
Additional solver properties, including initial conditions, analysis settings, fixed support, and outputs, were specified.
[2] A Guide to the Grades, Properties and Uses of Military Steel (2018) https://www.azom.com/ article.aspx?
Romijarso, Effects of austenitizing and forging on mechanical properties of MIL A-12560/AISI 4340 steel, IOP Conference Series: Materials Science and Engineering 202 (2017) 1-5
Bergmann, Ballistic ceramics and analysis of their mechanical properties for armour applications: a review, Ceramics International 47(7) (2021) 8743–8761
Online since: December 2012
Authors: Zhi Li, Fang Guo
Introduction
The spatial distribution is seriously affecting the electromagnetic coupling coefficient among the superconducting pancake coils.
For the mechanical properties of superconducting tapes is not good, the superconducting pancake coil general makes like a thin pancake as shown in Fig.2.
Table 1 The parameters of two coils coils #1 #2 resistance(R[Ω]) 1.71 1.72 self-inductance(L[mH]) 3.59 3.61 inner diameter(a[mm]) 34 34 outer diameter(A[mm]) 56 56 Height(h[mm]) 8 8 Turns(N) 176 176 The mutual inductance between #1 coil and #2 coils can be calculated by using Eq.15: (16) And the coupling coefficient between two coils can be calculated by: (17) Coupling Factor 0 5 10 15 20 0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 Z0 / (cm) Calculation data Experimental data Fig.6 Coupling coefficient varies with Z0 (X0=Y0=0) 0 5 10 15 20 -0.1 0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 Y0/ (cm) Coupling Factor Calculation data Experimental data Fig.7 Coupling coefficient varies with Y0 (X0=0, Z0=1cm) Fig.6 and Fig. 7 show the comparison
And the design not only satisfies the requirements of coupling coefficient, but also makes the structure compact and reasonable. 0 5 10 15 5 10 15 20 -0.2 0 0.2 0.4 0.6 0.8 1 Y0 / (cm) Coupling Factor Z0 / (cm) Fig.8 Spatial distribution and coupling coefficient 0 -0.01 0 0.01 0.05 0.1 0.25 0.5 Y0 / (cm) Z0 / (cm) 0 5 10 15 20 0 5 10 15 20 Fig.9 The isoline map of coupling coefficient Fig.8 and Fig.9 show that the coupling coefficient between two coils decreases rapidly with the increase of the distance between two coils.
For the mechanical properties of superconducting tapes is not good, the superconducting pancake coil general makes like a thin pancake as shown in Fig.2.
Table 1 The parameters of two coils coils #1 #2 resistance(R[Ω]) 1.71 1.72 self-inductance(L[mH]) 3.59 3.61 inner diameter(a[mm]) 34 34 outer diameter(A[mm]) 56 56 Height(h[mm]) 8 8 Turns(N) 176 176 The mutual inductance between #1 coil and #2 coils can be calculated by using Eq.15: (16) And the coupling coefficient between two coils can be calculated by: (17) Coupling Factor 0 5 10 15 20 0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 Z0 / (cm) Calculation data Experimental data Fig.6 Coupling coefficient varies with Z0 (X0=Y0=0) 0 5 10 15 20 -0.1 0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 Y0/ (cm) Coupling Factor Calculation data Experimental data Fig.7 Coupling coefficient varies with Y0 (X0=0, Z0=1cm) Fig.6 and Fig. 7 show the comparison
And the design not only satisfies the requirements of coupling coefficient, but also makes the structure compact and reasonable. 0 5 10 15 5 10 15 20 -0.2 0 0.2 0.4 0.6 0.8 1 Y0 / (cm) Coupling Factor Z0 / (cm) Fig.8 Spatial distribution and coupling coefficient 0 -0.01 0 0.01 0.05 0.1 0.25 0.5 Y0 / (cm) Z0 / (cm) 0 5 10 15 20 0 5 10 15 20 Fig.9 The isoline map of coupling coefficient Fig.8 and Fig.9 show that the coupling coefficient between two coils decreases rapidly with the increase of the distance between two coils.
Online since: November 2012
Authors: Ji Tong Jiang, Song Yang, De Run Du, Kun Dong, Yan Yang Xue
In order to accurately reflect the true mechanical properties of the composite beams, the sliding effect on stiffness and deformation in the interface between concrete and steel must be considered in design analysis.
According to the existing experimental results[4], the capacity of the structure will be affected greatly while the relative slip on the interface will be not obvious if the first shear plane was damaged.
Therefore, the main factors that affect the slip of Steel-Encased Concrete Composite Beam are the form, spacing and intensity between bottom steel and shear connector that on the top flange of the steel beam.
Not considering the factor of construction measure in the contrast test, we adopted same stud connector spacing in the top steel flange and the bottom plate.
According to the existing experimental results[4], the capacity of the structure will be affected greatly while the relative slip on the interface will be not obvious if the first shear plane was damaged.
Therefore, the main factors that affect the slip of Steel-Encased Concrete Composite Beam are the form, spacing and intensity between bottom steel and shear connector that on the top flange of the steel beam.
Not considering the factor of construction measure in the contrast test, we adopted same stud connector spacing in the top steel flange and the bottom plate.
Online since: January 2015
Authors: Bei Qing Huang, Xian Fu Wei, Qing Kai Wang, Hao Chen Shen
UV cured are widely used in chemical mechanical biomedical electronics and other fields of national production [1-2].
There are many factors which affect the volume shrinkage, the monomer molecules is an important factor which in the van der Waals force.through polymerization, non-covalent bonds become covalent bond which is connected and the distance which is less than a covalent bond between the van der Waals distance causing discharge of the polymer molecules result in a much closer crack, causing volume shrinkage during polymerization [4].Therefore, optimizing the free radical curing system , reducing the volume shrinkage and preparing UV-curable coatings are a very critical issue facing the practical applications [5].
Results and Discussion Influnce of Monomer on Coating Volume Shrinkage Monomer is the major component in the uv curing coating, that affects the coating volume shrinkage ratio.The monomer and prepolymer curing film under the condition of light initiator by uv irradiation.
St ruct ure and properties of epoxy resin/ epoxy acrylate hybrid UV-cured material[J].
There are many factors which affect the volume shrinkage, the monomer molecules is an important factor which in the van der Waals force.through polymerization, non-covalent bonds become covalent bond which is connected and the distance which is less than a covalent bond between the van der Waals distance causing discharge of the polymer molecules result in a much closer crack, causing volume shrinkage during polymerization [4].Therefore, optimizing the free radical curing system , reducing the volume shrinkage and preparing UV-curable coatings are a very critical issue facing the practical applications [5].
Results and Discussion Influnce of Monomer on Coating Volume Shrinkage Monomer is the major component in the uv curing coating, that affects the coating volume shrinkage ratio.The monomer and prepolymer curing film under the condition of light initiator by uv irradiation.
St ruct ure and properties of epoxy resin/ epoxy acrylate hybrid UV-cured material[J].
Online since: May 2006
Authors: Maria José Marques, J.C.P. Pina, A. Morão Dias, J.M.M. dos Santos
Mendes Pinheiro, 24 - P-3080-032 Figueira da
Foz, Portugal
3 School of Electrical, Electronic and Computer Engineering, University of Newcastle,
Newcastle, NE1 7RU, UK
4 Department of Mechanical Engineering, University of Coimbra, P-3030-201 Coimbra,
Portugal
a zepina@ci.uc.pt, b mjosevaz@ci.uc.pt, c J.M.dos-Santos@ncl.ac.uk,
d morao.dias@dem.uc.pt
Keywords: Residual stresses, Texture, Low-incidence angle, Thin films
Abstract.
Frequently they present a crystallographic texture which limits the number of orientations that provide good intensity and induces anisotropy effects on their mechanical behavior.
Introduction Thin films are characterized by a very reduced thickness, so that their properties and behavior are strongly dependent on the relative large surface area to volume ratio.
The collected information is affected by the asymmetric conditions of the goniometric setup and must be corrected in the counting intensity and in the diffraction positions.
The defocalisation correction factors can be calculated empirically by studying a quenched powder of the analyzed material.
Frequently they present a crystallographic texture which limits the number of orientations that provide good intensity and induces anisotropy effects on their mechanical behavior.
Introduction Thin films are characterized by a very reduced thickness, so that their properties and behavior are strongly dependent on the relative large surface area to volume ratio.
The collected information is affected by the asymmetric conditions of the goniometric setup and must be corrected in the counting intensity and in the diffraction positions.
The defocalisation correction factors can be calculated empirically by studying a quenched powder of the analyzed material.
Online since: April 2012
Authors: Wei Bing Li, Qing Ming Zhang, Heng Wang, Cheng Liang Feng, Jiang Bo Wang
Parameter study of concrete impact damage model based on DOE analysis
Jiangbo Wang1,2, Qingming Zhang1, Chengliang Feng2, Weibing Li 2,
Heng Wang2
1 School of Mechanical Engineering, Beijing Institute of Technology, Beijing 100081, China
2 Chongqing Hongyu Precision Industrial CO., LTD, Chongqing 402760, China
Email address: jbwang2007@163.com
Keyword: DOE; concrete; material parameter; numerical simulation
Abstract: By building up a debugging method about material parameters of concrete impact damage model based on DOE (Design of Experiments) analysis, this paper studies the influence of material parameters of concrete targets on the results of numerical simulation based on quantitative analysis when the impact velocity is 300m/s and 850m/s respectively.
In numerical simulation, the parameter of concrete impact damage model is one of the main factors affecting the calculation accuracy.
is the material density, G is the shear modulus, A is statistic yield criterion, B is the hardening coefficient, n is the strain hardening index, C is the strain rate index, m is the thermal softening index, is the melting temperature, is the room temperature, is specific heat capacity at constant pressure, , , , and are material damage factor, is curve slope coefficient, is the velocity of shock wave, is the particle velocity, is the Gruneisen coefficient, a is first order volume correction for . , G, A, B, n, , and these 8 parameters can be tested through experiments, and they belong to the first group.
Fig.1 Main factor response at velocity 300m/s Fig.2 Main factor response at velocity 850m/s Through analyzing Figure 1 and Figure 2, we get the order from great to little about effect of material parameters on residual velocity.
Reference [1] Watstein D.Effect of Straining Rate on the Compression Strength and Elastic Properties.ACI,Journal Proceeding, 1953, 49(8)
In numerical simulation, the parameter of concrete impact damage model is one of the main factors affecting the calculation accuracy.
is the material density, G is the shear modulus, A is statistic yield criterion, B is the hardening coefficient, n is the strain hardening index, C is the strain rate index, m is the thermal softening index, is the melting temperature, is the room temperature, is specific heat capacity at constant pressure, , , , and are material damage factor, is curve slope coefficient, is the velocity of shock wave, is the particle velocity, is the Gruneisen coefficient, a is first order volume correction for . , G, A, B, n, , and these 8 parameters can be tested through experiments, and they belong to the first group.
Fig.1 Main factor response at velocity 300m/s Fig.2 Main factor response at velocity 850m/s Through analyzing Figure 1 and Figure 2, we get the order from great to little about effect of material parameters on residual velocity.
Reference [1] Watstein D.Effect of Straining Rate on the Compression Strength and Elastic Properties.ACI,Journal Proceeding, 1953, 49(8)
Online since: April 2003
Authors: S. Tse, Z. Tao, W. Li, S. Chan, Y. Gao
Tao
Department of Mechanical Engineering, Hong Kong University of Science and Technology
Clear Water Bay, Kowloon, Hong Kong, China
Keywords: Coolant, In-process Measurement, CFD
Abstract.
The effectiveness of the measurement can be affected by several factors including the velocity of coolant, the velocity of transparent fluid, the velocity of workpiece surface, and the gap between workpiece surface and the transparent fluid beam applicator.
Based on the results of the computational investigation, it was found that a clean zone could be successfully established if the four configuration factors are 3m/s, 20m/s, 0.2m/s, and 1mm, respectively.
But the opaque optical property of the coolants would produce an inaccessibility problem for in-process optical measurement of workpiece surface profile [1].
Since the velocity of the workpiece surface is a factor to produce the turbulent in the optical clean zone, it should be reduced during machining such that a better clean zone can be utilized for the in-process measurement.
The effectiveness of the measurement can be affected by several factors including the velocity of coolant, the velocity of transparent fluid, the velocity of workpiece surface, and the gap between workpiece surface and the transparent fluid beam applicator.
Based on the results of the computational investigation, it was found that a clean zone could be successfully established if the four configuration factors are 3m/s, 20m/s, 0.2m/s, and 1mm, respectively.
But the opaque optical property of the coolants would produce an inaccessibility problem for in-process optical measurement of workpiece surface profile [1].
Since the velocity of the workpiece surface is a factor to produce the turbulent in the optical clean zone, it should be reduced during machining such that a better clean zone can be utilized for the in-process measurement.
Online since: August 2017
Authors: Panpailin Seeharaj, Kittisak Choojun, Naratip Vittayakorn, Patchara Pasupong
The magnetic property of nanocrystalline CoFe2O4 is found to depend on many factors including crystallite size, morphology, chemical composition and cation distribution [4].
Song, Synthesis and magnetic properties of CoFe2O4 ferrite nanoparticles, J.
Ceeylan, Synthesis and magnetic properties of cobalt ferrite (CoFe2O4) nanoparticles prepared by wet chemical route, J.
Kim, Growth of ultra-fine cobalt ferrite particles by a sol–gel method and their magnetic properties, J.
Li, Low-temperature auto-combustion synthesis and magnetic properties of cobalt ferrite nanopowder, Mater.
Song, Synthesis and magnetic properties of CoFe2O4 ferrite nanoparticles, J.
Ceeylan, Synthesis and magnetic properties of cobalt ferrite (CoFe2O4) nanoparticles prepared by wet chemical route, J.
Kim, Growth of ultra-fine cobalt ferrite particles by a sol–gel method and their magnetic properties, J.
Li, Low-temperature auto-combustion synthesis and magnetic properties of cobalt ferrite nanopowder, Mater.