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Online since: January 2021
Authors: I. Rohini, R. Padmapriya
Mechanical properties such as Compressive strength and Flexural Strength of Bacterial copper slag concrete were found and compared with the conventional concrete.
Microorganisms were added in percentage (1% and 2%) by the weight of cement to accelerate the mechanical properties Mechanical properties of Bacterial copper slag concrete were found and compared with the conventional concrete.
For constructive crack healing both microorganism and food incorporated into concrete should not affect the property of cement sand mixture and also should not have adverse effect on mechanical properties of concrete.
When bacteria are incorporated in the concrete mixture two factors should be considered.
One factor is hydration rate of cement which affects the life of Bacteria.
Microorganisms were added in percentage (1% and 2%) by the weight of cement to accelerate the mechanical properties Mechanical properties of Bacterial copper slag concrete were found and compared with the conventional concrete.
For constructive crack healing both microorganism and food incorporated into concrete should not affect the property of cement sand mixture and also should not have adverse effect on mechanical properties of concrete.
When bacteria are incorporated in the concrete mixture two factors should be considered.
One factor is hydration rate of cement which affects the life of Bacteria.
Online since: September 2013
Authors: Ji Ren Xu, Bao Long Hu, Huai Hui Gao, Ji Hai Liu, Ke Ren Wang
Variable Momentum Factor: We introduce a variable momentum factor in the BP algorithm, and on the one hand, it can accelerate convergence, and can prevent oscillation at the same time[4].
We introduce a factor in incentive function.
Fig. 1 Learning error curve of standard BP algorithm Fig. 2 Learning error curve of variable momentum factor method Fig. 3 Learning error curve of method combining variable step and introducing factor Fig. 4 Learning error curve of fusion algorithm with variable momentum factor and variable step Through compareing and analysing various simulation results of BP neural network algorithm, we can find under the situation in which convergence rate is the slowest is basic BP algorithm showed as Fig. 1 in the same precision, after 5562 times learning ceases, From variable momentum method showed as Fig. 2, we can find the introduced momentum is almost equal to damping term, and it suppresses the oscillation movement of training process, thus affects the network convergence properties, so learning terminate after 3522 times training, and network study times come down, and learning rate increase, but error convergence rate increased a lot, the method combining variable step and
[6] Jian-yuan Zhu, Marine diesel engine vibration monitoring based on BP neural network, Mechanical and Electrical Equipment(2008),p33-36
[7] Xiu-ying WANG, Fault Pattern Recognition Based on Improved BP Network Algorithm, Mechanical & Electrical Engineering Technology(2008),p103-105
We introduce a factor in incentive function.
Fig. 1 Learning error curve of standard BP algorithm Fig. 2 Learning error curve of variable momentum factor method Fig. 3 Learning error curve of method combining variable step and introducing factor Fig. 4 Learning error curve of fusion algorithm with variable momentum factor and variable step Through compareing and analysing various simulation results of BP neural network algorithm, we can find under the situation in which convergence rate is the slowest is basic BP algorithm showed as Fig. 1 in the same precision, after 5562 times learning ceases, From variable momentum method showed as Fig. 2, we can find the introduced momentum is almost equal to damping term, and it suppresses the oscillation movement of training process, thus affects the network convergence properties, so learning terminate after 3522 times training, and network study times come down, and learning rate increase, but error convergence rate increased a lot, the method combining variable step and
[6] Jian-yuan Zhu, Marine diesel engine vibration monitoring based on BP neural network, Mechanical and Electrical Equipment(2008),p33-36
[7] Xiu-ying WANG, Fault Pattern Recognition Based on Improved BP Network Algorithm, Mechanical & Electrical Engineering Technology(2008),p103-105
Online since: April 2009
Authors: Peter J. Uggowitzer, Alla S. Sologubenko, Anja C. Hänzi
Grain growth restriction factors of single alloying elements for various alloy
compositions.
The mechanical properties of the as-extruded alloys were evaluated by standard tensile testing at room temperature (details see [19]).
Based on the microstructural characteristics exceptional mechanical properties arose.
As a consequence, the alloys can be repeatedly subjected to various thermo-mechanical treatments with subsequent restoration of the mechanical properties.
Once recrystallisation has taken place, the mechanical properties can be restored due to the constricted grain size and stability of the second phases.
The mechanical properties of the as-extruded alloys were evaluated by standard tensile testing at room temperature (details see [19]).
Based on the microstructural characteristics exceptional mechanical properties arose.
As a consequence, the alloys can be repeatedly subjected to various thermo-mechanical treatments with subsequent restoration of the mechanical properties.
Once recrystallisation has taken place, the mechanical properties can be restored due to the constricted grain size and stability of the second phases.
Online since: April 2015
Authors: Irina V. Shmidt, Aleksandr A. Dyakonov
Generated model of the temperature pattern in the lamellate system takes into account system structure, thermo-physical parameters of the each layer material, and process factors: acting heat source duration and intensity, heat dissipation to process liquid, allowing calculating cutting modes, maximum allowed per heating temperature for each layer of the system.
This also affects the process thermo-physics.
Denoting , , for determining coefficients , we generate following system of equations: (15) Because of the quadratic polynomial properties we have formulas: (16) Introducing designations: (17) and , and solving the system Eq. (18) we receive following for the polynomial coefficients:
Xue Mechanical and biological properties of titanium syntactic foams, Proceedings of TMS 2010 Annual Meeting & Exhibition.
Xue Manufacture and Mechanical Properties of Metal Matrix Syntactic Foams, Тр.
This also affects the process thermo-physics.
Denoting , , for determining coefficients , we generate following system of equations: (15) Because of the quadratic polynomial properties we have formulas: (16) Introducing designations: (17) and , and solving the system Eq. (18) we receive following for the polynomial coefficients:
Xue Mechanical and biological properties of titanium syntactic foams, Proceedings of TMS 2010 Annual Meeting & Exhibition.
Xue Manufacture and Mechanical Properties of Metal Matrix Syntactic Foams, Тр.
Online since: June 2012
Authors: Jing Long Fan
By summarizing the 3D deformation regulation of the hot extrusion centrifuge pipe mould, the stress changing and mechanical property parameters during the process of hot extrusion , providing reference for the design of equipment in radial hot extrusion.
However, it is difficult to find an effective solution to the main mechanical properties through formula and experiment.
The real extrusion of mould deformation will affect the size of extrusion stress.
Of course, the results difference between simulation analyses and the real state will occur by material properties error.
Other influencing factors to error results during in simulation analysis process: (1) The quality of mesh division influence precision of solving; (2) Some assumptions that are made in the numerical simulation, such as supposing the temperature of the deform body remaining constant have certain difference with the actual operating mode; (3) Some geometry was simplified, such as chamfers and arcs are neglected for the mesh.
However, it is difficult to find an effective solution to the main mechanical properties through formula and experiment.
The real extrusion of mould deformation will affect the size of extrusion stress.
Of course, the results difference between simulation analyses and the real state will occur by material properties error.
Other influencing factors to error results during in simulation analysis process: (1) The quality of mesh division influence precision of solving; (2) Some assumptions that are made in the numerical simulation, such as supposing the temperature of the deform body remaining constant have certain difference with the actual operating mode; (3) Some geometry was simplified, such as chamfers and arcs are neglected for the mesh.
Online since: December 2012
Authors: Seti Mariam Ayop, Kartini Kamaruddin, Aimi Munirah Jalilluddin
Hence, development of masonry units with high thermal insulation properties is a necessity.
The amount of kenaf fiber inclusions were the main focus to observe the achievement of best results for both properties.
It has been described that density is amongst the significant factor that affects the performance of thermal insulator [18].
Date of retrieved 19 March 2010 [8] BS EN 933-1:1997: Tests for geometrical properties of aggregates.
Determination of steady-state thermal transmission properties – Calibrated and guarded hot box [12] C.
The amount of kenaf fiber inclusions were the main focus to observe the achievement of best results for both properties.
It has been described that density is amongst the significant factor that affects the performance of thermal insulator [18].
Date of retrieved 19 March 2010 [8] BS EN 933-1:1997: Tests for geometrical properties of aggregates.
Determination of steady-state thermal transmission properties – Calibrated and guarded hot box [12] C.
Online since: December 2012
Authors: Yu Yang, Zhang Fang
Energy capacity of porous carbon materials relates to the surface properties.
Catalyst and hydrophobicity of porous materials are important to electrodes performance, and water management is one of the most important factors for improving the performance in PEMFCs.
Characteristics of porous carbon materials are affected by both the carbon structure and property of the pores.
Small amount of organic additives and the pH value of the reaction solution have a large impact on the morphology and textural properties of the resultant hybrid meso-porous metal phosphonate solids.
Mg contained abundant vacancy which could deposit H2, and polymer matrix provided the best barrier property.
Catalyst and hydrophobicity of porous materials are important to electrodes performance, and water management is one of the most important factors for improving the performance in PEMFCs.
Characteristics of porous carbon materials are affected by both the carbon structure and property of the pores.
Small amount of organic additives and the pH value of the reaction solution have a large impact on the morphology and textural properties of the resultant hybrid meso-porous metal phosphonate solids.
Mg contained abundant vacancy which could deposit H2, and polymer matrix provided the best barrier property.
Online since: September 2014
Authors: Jia Ding Wang, Quan Ren, Tian Feng Gu, Yuan Jun Xu
Introduction
The purpose of the soil microstructure research is to search for the law between microstructure variation and macroscopic mechanical property, in other words, it aims to reveal micro-mechanism of macroscopic mechanics.
Thus it can be seen that porosity quantity bears some relation to macroscopic physical and mechanical property of soil mass[2].
It can be seen that these two microstructural parameters are important factors affecting void ratio of soil mass surface[5,6].
(1) Soil mass shows various mechanical property under external load effect, essentially, it shows a macroscopic manifestation of microstructure change.
But how relation are between porosity fractal dimension and macroscopical mechanical property of slide-zone soil mass.
Thus it can be seen that porosity quantity bears some relation to macroscopic physical and mechanical property of soil mass[2].
It can be seen that these two microstructural parameters are important factors affecting void ratio of soil mass surface[5,6].
(1) Soil mass shows various mechanical property under external load effect, essentially, it shows a macroscopic manifestation of microstructure change.
But how relation are between porosity fractal dimension and macroscopical mechanical property of slide-zone soil mass.
Online since: July 2018
Authors: A.A. Lasukov, Vladimir P. Nesterenko, O.Yu. Retyunskiy
There are many factors determining the final degree of acidity which characterizes the surface oxide structure formed when the carbide cutting inserts are heated in an electric furnace and similarly during cutting.
Depending on a number of factors, the oxide material formed in the process of oxidation of contact surfaces are more or less likely to display donor-acceptor characteristics.
The main factors are the following: initial chemical composition of carbide grains and cobalt interlayer, characteristics of carbide grain synthesis, temperature and duration of powder sintering, sintering medium, a final degree of chemical interaction between the metal and carbon in the carbide structure, stress-strain behavior at the boundary between carbide grains and cobalt interlayer, structural defects in these carbide components and other conditions affecting surface oxide development.
The ratio between bound and free carbon directly affects the oxidation of carbides and accordingly the final development of basic or acidic properties of oxides.
Physical and mechanical characteristics of these groups are determined by a state, properties and an adsorption form of the surface oxygen.
Depending on a number of factors, the oxide material formed in the process of oxidation of contact surfaces are more or less likely to display donor-acceptor characteristics.
The main factors are the following: initial chemical composition of carbide grains and cobalt interlayer, characteristics of carbide grain synthesis, temperature and duration of powder sintering, sintering medium, a final degree of chemical interaction between the metal and carbon in the carbide structure, stress-strain behavior at the boundary between carbide grains and cobalt interlayer, structural defects in these carbide components and other conditions affecting surface oxide development.
The ratio between bound and free carbon directly affects the oxidation of carbides and accordingly the final development of basic or acidic properties of oxides.
Physical and mechanical characteristics of these groups are determined by a state, properties and an adsorption form of the surface oxygen.
Online since: March 2013
Authors: Huang Yuan, Shuai Huang
Introduction
Indentation technique has been developed for determining the mechanical properties of materials in small scale.
From instrumented indentation tests the micro-hardness, elastic modulus and other mechanical properties can be efficiently determined as reported in [1,2].
In Equation (2) is the peak indentation load, an indenter geometry shape factor on the order of unity.
When , the material is strongly hardened and the sink-in predominates, so that strain hardening does not affect contact area.
Dieter: Mechanical Metallurgy (McGraw-Hill, New York 1976)
From instrumented indentation tests the micro-hardness, elastic modulus and other mechanical properties can be efficiently determined as reported in [1,2].
In Equation (2) is the peak indentation load, an indenter geometry shape factor on the order of unity.
When , the material is strongly hardened and the sink-in predominates, so that strain hardening does not affect contact area.
Dieter: Mechanical Metallurgy (McGraw-Hill, New York 1976)