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Online since: May 2013
Authors: Ying Shuai Zhang, Hui Shen, Ming Feng Xu, Yun Yi Tao
This mechanical pre-dedusting method could remove 40% of the dust in design.
So, it’s obvious that PPS textile mechanical properties (tenacity and tensile strength) were already distinctly reduced.
In flue gas at the deduster’s inlet, several affecting factors have great influence on the operating life of PPS filter bag as flue gas temperature, humidity, and components.
PPS filter bags broken in application is a common and complicated problem, and is concerned with such aspect factors as physical and chemical reasons.
So, it’s obvious that PPS textile mechanical properties (tenacity and tensile strength) were already distinctly reduced.
In flue gas at the deduster’s inlet, several affecting factors have great influence on the operating life of PPS filter bag as flue gas temperature, humidity, and components.
PPS filter bags broken in application is a common and complicated problem, and is concerned with such aspect factors as physical and chemical reasons.
Online since: March 2016
Authors: Yi Mei, Hua Qiang Xiao, Bo Lin, He Li
The maintenance of proper mold temperature through a temperature control system can reduce the warp of plastic parts and also enhance the mechanical properties dimensional accuracy and stability of plastic parts [3].
Table 9 Experimental factors level Level Element a b c d 1 4 1.8 15 0.1 2 6 2 20 0.05 3 8 2.2 25 0.01 From the relevant data of experimental factors and regardless of the interactions between various factors, the orthogonal experiment table of was selected.
The various factors and test index of the factors of different levels were calculated.
Calculated the range values of column factors: Ri=max ki- min ki (i includes:a, b, c, d).
So, the optimal combination for the selected factors is c3 a1 d2 b3.
Table 9 Experimental factors level Level Element a b c d 1 4 1.8 15 0.1 2 6 2 20 0.05 3 8 2.2 25 0.01 From the relevant data of experimental factors and regardless of the interactions between various factors, the orthogonal experiment table of was selected.
The various factors and test index of the factors of different levels were calculated.
Calculated the range values of column factors: Ri=max ki- min ki (i includes:a, b, c, d).
So, the optimal combination for the selected factors is c3 a1 d2 b3.
Online since: July 2022
Authors: Edouard Rivière Lorphèvre, Pedro José Arrazola, François Ducobu, Nithyaraaj Kugalur Palanisamy
The complexity of the cutting process further increases with Ti6Al4V alloy because of its intrinsic properties such as high chemical reactivity, low thermal conductivity, etc. [4, 5].
The material properties employed in the model are given in Table 2.
The mass scaling factor of 1,000 was considered as it shows a significant decrease in the computational time, without affecting the results [19].
The thermal properties are adopted from the reference [21].
The cost function calculated with the equal weighting factors and the different weighting factor shows that µ = 0.21 has the minimum cost function.
The material properties employed in the model are given in Table 2.
The mass scaling factor of 1,000 was considered as it shows a significant decrease in the computational time, without affecting the results [19].
The thermal properties are adopted from the reference [21].
The cost function calculated with the equal weighting factors and the different weighting factor shows that µ = 0.21 has the minimum cost function.
Online since: January 2021
Authors: Yasunori Harada, Katsuhiko Takahashi
In the present study, MSP was used to investigate the effects of the peening conditions on the surface properties and fatigue properties of austenitic stainless steels.
The stress concentration factor is 1.04.
The effects of surface properties on fatigue strength are discussed.
Summary MSP was used to investigate the effects of the peening conditions on the surface properties and fatigue properties of austenitic stainless steels.
In addition, the fatigue properties were improved by the use of ordinary media.
The stress concentration factor is 1.04.
The effects of surface properties on fatigue strength are discussed.
Summary MSP was used to investigate the effects of the peening conditions on the surface properties and fatigue properties of austenitic stainless steels.
In addition, the fatigue properties were improved by the use of ordinary media.
Online since: September 2007
Authors: Naoki Kondo, Hideki Kita, Hideki Hyuga, Katsumi Yoshida
Surface structure is known to affect wettability.
Introduction Silicon nitrides are often used as ladles, stalks, heater element protection tubes, etc., in the metal casting industry.[1, 2] This is because silicon nitrides have good mechanical properties, high wear resistance, corrosion resistance, stability at elevated temperatures, low thermal conductivity, and low wettability for molten metals.[3 - 6] However, several problems remain, high cost being the most important one.
Improved insulation against heat transfer, lowered wettability for molten metals, better mechanical properties, further reliability, etc. are required.
R is a surface roughness factor, and R = (real surface area) / (apparent flat surface area) ≥ 1.
The initial and final condition of the surfaces, time-dependent reactions and corrosion, topological measurement between protrusions and metals, and the atmosphere, are among the factors that need to be investigated for a more strict scientific discussion.
Introduction Silicon nitrides are often used as ladles, stalks, heater element protection tubes, etc., in the metal casting industry.[1, 2] This is because silicon nitrides have good mechanical properties, high wear resistance, corrosion resistance, stability at elevated temperatures, low thermal conductivity, and low wettability for molten metals.[3 - 6] However, several problems remain, high cost being the most important one.
Improved insulation against heat transfer, lowered wettability for molten metals, better mechanical properties, further reliability, etc. are required.
R is a surface roughness factor, and R = (real surface area) / (apparent flat surface area) ≥ 1.
The initial and final condition of the surfaces, time-dependent reactions and corrosion, topological measurement between protrusions and metals, and the atmosphere, are among the factors that need to be investigated for a more strict scientific discussion.
Online since: December 2022
Authors: Mohd Aizuddin Shahmi A'zim, Raja Nazrul Hakim, Mohd Amin Indok Nurul Hasyimah, F.W. Shaarani, Z.A. Mohd Yusof, A.N.D.Mohd Said
The processing conditions (such as reaction temperature and time) have a significant impact on the catalyst's properties.
Catalyst Characterization (BET) In heterogeneous catalysts, specific area and pore volume are significant factors to consider especially for the supported catalyst.
Wasmi, “Determination of zinc glutarate complexes synthesis factors affecting production of propylene carbonate from carbon dioxide and propylene oxide,” Chem.
Ang et al., “Determination of zinc glutarate complexes synthesis factors affecting production of propylene carbonate from carbon dioxide and propylene oxide,” Chem.
Kim et al., “NEXAFS spectroscopy study of the surface properties of zinc glutarate and its reactivity with carbon dioxide and propylene oxide,” J.
Catalyst Characterization (BET) In heterogeneous catalysts, specific area and pore volume are significant factors to consider especially for the supported catalyst.
Wasmi, “Determination of zinc glutarate complexes synthesis factors affecting production of propylene carbonate from carbon dioxide and propylene oxide,” Chem.
Ang et al., “Determination of zinc glutarate complexes synthesis factors affecting production of propylene carbonate from carbon dioxide and propylene oxide,” Chem.
Kim et al., “NEXAFS spectroscopy study of the surface properties of zinc glutarate and its reactivity with carbon dioxide and propylene oxide,” J.
Online since: October 2007
Authors: Khershed P. Cooper
For instance, the properties of materials made by
additive means must meet or exceed the specifications for materials made by conventional methods.
Such digital control of the chemistry, microstructure and behavior can result in materials with properties not found in naturally-formed substances.
DDM seeks process monitoring and control at the voxel level, a voxel being the smallest volume in the material that could be manipulated for composition and properties.
DDM concepts could be developed for materials with tunable electronic and mechanical properties, mechanical components with reinforced high stress regions, casting molds with heat sinks and melt risers, integrated multi-component devices, precise localized repair of worn components, and components with embedded structures, circuits and electronics.
DDM certainly appears to be a promising way to create materials and structures with unusual properties and behavior.
Such digital control of the chemistry, microstructure and behavior can result in materials with properties not found in naturally-formed substances.
DDM seeks process monitoring and control at the voxel level, a voxel being the smallest volume in the material that could be manipulated for composition and properties.
DDM concepts could be developed for materials with tunable electronic and mechanical properties, mechanical components with reinforced high stress regions, casting molds with heat sinks and melt risers, integrated multi-component devices, precise localized repair of worn components, and components with embedded structures, circuits and electronics.
DDM certainly appears to be a promising way to create materials and structures with unusual properties and behavior.
Online since: February 2011
Authors: Yan Feng Wang
The Factors of Influencing Temperature Field During Cooling and the Method for Determining:
The CoolingTime.
When establishing the mathematical model of temperature field in the process of cooling, simplifying should be done as follows: Ignores the gap thermal resistance between cavity with plastic melt, and takes heat-conducting properties of the mould materials as isotropic.
Therefore, when studying warping deformation mechanism of plastic products, must comprehensively consider whole forming process and the factors of structure and material properties of plastic The Simulation of Molecular Orientation.
The purpose of molecular orientation simulations is to simulate experienced physical process of the melt when it is shaping, determine the microstructure of the plastic part, To predict the physical properties of the plastic part and molding quality.
It can provide scientific basis for design of plastic parts, mold design, process formulation of injection molding and control to injection molding process by research on material properties of plastic and simulation and analysis to the injection process.
When establishing the mathematical model of temperature field in the process of cooling, simplifying should be done as follows: Ignores the gap thermal resistance between cavity with plastic melt, and takes heat-conducting properties of the mould materials as isotropic.
Therefore, when studying warping deformation mechanism of plastic products, must comprehensively consider whole forming process and the factors of structure and material properties of plastic The Simulation of Molecular Orientation.
The purpose of molecular orientation simulations is to simulate experienced physical process of the melt when it is shaping, determine the microstructure of the plastic part, To predict the physical properties of the plastic part and molding quality.
It can provide scientific basis for design of plastic parts, mold design, process formulation of injection molding and control to injection molding process by research on material properties of plastic and simulation and analysis to the injection process.
Online since: June 2014
Authors: Gergis W. William, Samir N. Shoukry, Jacky C. Prucz
Introduction
Transverse stiffness represents an important aspect of the structural properties of unidirectional fibrous lamina.
Additional problems are encountered when applying these models on metal matrix composites due to the residual stresses that arise during the manufacturing process and affect the stiffness and strength properties of the composites [3,4].
Thus, transverse properties estimated by using such models may deviate considerably from reality.
Micromechanical Finite Element Models (FEM) were used to accurately predict the transverse properties of continuously reinforced fiber composites.
Effects of Environmental Factors on Composite Materials.
Additional problems are encountered when applying these models on metal matrix composites due to the residual stresses that arise during the manufacturing process and affect the stiffness and strength properties of the composites [3,4].
Thus, transverse properties estimated by using such models may deviate considerably from reality.
Micromechanical Finite Element Models (FEM) were used to accurately predict the transverse properties of continuously reinforced fiber composites.
Effects of Environmental Factors on Composite Materials.
Online since: July 2020
Authors: Affa Rozana Abdul Rashid, Wan Maisarah Mukhtar, Siti Nadiah Latib, Razman Mohd Halim
Introduction
Monitoring pH level is very crucial factors in scientific research, industrial and agricultural production.
The introduction of GO layer on the partial unclad SMF with an assistance of macrobend structure displayed excellent sensing properties in distinguishing various pH level of targeted samples.
Next, 2.4µL of graphene oxide (Brand: Graphenea; 0.05 wt% concentration, 0.125 g GO content) was coated on the unclad fiber via drop casting method to amplify its sensing properties as illustrated in Fig.1(b).
UV-Vis analysis was performed to characterize the optical properties of GO on the unclad SMF.
Apparently, the presence of GO indicated the changes of power losses which verify its significant role in optimizing the optical properties of the partial unclad SMF.
The introduction of GO layer on the partial unclad SMF with an assistance of macrobend structure displayed excellent sensing properties in distinguishing various pH level of targeted samples.
Next, 2.4µL of graphene oxide (Brand: Graphenea; 0.05 wt% concentration, 0.125 g GO content) was coated on the unclad fiber via drop casting method to amplify its sensing properties as illustrated in Fig.1(b).
UV-Vis analysis was performed to characterize the optical properties of GO on the unclad SMF.
Apparently, the presence of GO indicated the changes of power losses which verify its significant role in optimizing the optical properties of the partial unclad SMF.