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Online since: September 2018
Authors: Pavel Andrenko, Alexsander Grigoryev, Inga Emeljanova, Denys Chayka
The results of a multiple-factor experiment are presented.
Numerically Simulated Operation Model of the Pump Fed with Mortar Basic assumptions of the model: · The mortar when being fed has the properties of incompressible isothermal fluid, the extend of its state changing does not depend on pressure and velocity gradient (i.e., considering large pressure gradients in the working space of the pump and the hose, dry friction between sand particles is neglected and this fluid is assumed to be Newtonian)
Along with the flow cross-section, the roller also affects the volume of the working zone, and this volume change ∆V is described by the following formula: , if ; unless it is assumed that .
As the density of the concrete mix increases, the speed of sound changes, which is determined according to the dependence: , Change in the volume parts of the concrete mixture does not affect the dynamics of pressure and velocity values.
Properties of concrete. – London: Longman, 1995. – Т. 4. – 344 р
Online since: February 2011
Authors: Jing Jing Fang, Yu Ding
The research issue of irregular surface flattening can be described as specifying and generating the meshes of an arbitrary surface and its material properties so as to be able to find the pattern contour in a plane.
These days, however, material physical properties are commonly taken into consider and iteration methods are used to find the minimum energy flattening results.
Deviation between the designed surface and the approximate mesh This is a single factor question with a known approximation threshold e.
An excessively small h may require a lot of computing time and affect the follow-up flattening procedures.
It is assumed that other forces are too small to affect the outcomes.
Online since: February 2012
Authors: Sambandam Anandan
Among the unique properties of nanomaterials, the movement of electrons and holes in semiconductor nanomaterials is primarily governed by the well-known quantum confinement and the transport properties related to phonons and photons are largely affected by the size and geometry of the materials [14-18].
C 2008, 112, 253-259 After that nanotubular materials are considered important in photocatalysis owing to their special electronic and mechanical properties, high photocatalytic activity, large specific surface area and high pore volume [51,52].
Even though each of the above processes have certain limited efficiencies, cost factors, and environmental effects.
Dai, Carbon Nanotubes: Synthesis, Integration and Properties, Acc.
Jorio, Unusual properties and structure of carbon nanotubes, Annu.
Online since: February 2015
Authors: Noor Emilia Ahmad Shafie, Nazri Kamsah, Haslinda Mohamed Kamar
CFD Simulation of Air Temperature inside a Bus Passenger Compartment Noor Emilia Ahmad Shafie1,a, Haslinda Mohamed Kamar1,b* and Nazri Kamsah1,c 1Faculty of Mechanical Engineering, Universiti Teknologi Malaysia, 81310 Skudai, Johor Bahru Malaysia anemilia2@live.utm.my, bhaslinda@mail.fkm.utm.my, cnazrikh@fkm.utm.my *haslinda@mail.fkm.utm.my Keywords:Computational Fluid Dynamics; Air Temperature; Bus Passenger Compartment.
· The air inlet was applied at the air supply diffusers and the properties of air in the passenger compartment were governed by the equations of state for incompressible flow and the reference pressure was set to atmospheric pressure, 101325 Pa
Human breathing, heavy occupancy, bus geometry and the ventilation system are the factors that influence the air movement inside the bus.
Online since: April 2024
Authors: Feng Qi Zhong, Xu Dong Guo, Jian Ru Xiao, Wei Xu, Zhen Hua Zhou
The root mean square value characterizes the contractile properties of muscle.
For example, SVM has only kernel function and penalty factor such two parameters.
The selection of muscle groups determines the location of electromyography collection, and the placement of electrodes in the collection device directly affects the presence and strength of experimental signals.
Among them, the kernel function and penalty factor of the SVM algorithm were set in default.
Chen, et al, Identification of six upper limb action EMG signals based on MATLAB, Mechanical Engineer, 5(2022) 17-19
Online since: April 2022
Authors: Abdelkader Debab, Nassima Benyoub, Abdellah Benhamou
The main adsorption properties of mesoporous silica are high surface area, high porosity, well-structured properties, the possibility of surface modification and functionalization, and regular channel structure, such as SBA-n (SBA-3, SBA-15, SBA-16), HMS, MSU-x and M41S (MCM-41) materials[23-26].
In fact, the incorporation of APTES modifies the structural and surface properties of MCM-41.
Enhancement in amoxicillin adsorption and regeneration properties of SBA-15 after surface modification with polyaniline.
Study on thermal, mechanical and adsorption properties of amine-functionalized MCM-41/PMMA and MCM-41/PS nanocomposites prepared by ultrasonic irradiation.
Key factor affecting the basicity of mesoporous silicas MCM-41: effect of surfactant extraction time and Si/Al ratio.
Online since: April 2018
Authors: Swati Sharma, Ambika Verma, Ashok Kumar, Hesam Kamyab
Magnetic nano-composites have higher electrical conductivity and higher chemical resistance, improved mechanical strength and optical properties, of without decrease of strength.
The optical, electrical, thermal, mechanical, and the catalytic properties of nano-particles are depending upon their origin and constituent materials [19-20].
Most of the firms, oxides, mix nanoparticulate metals and additional materials with matrix materials and polymers to optimize the nano-composites properties with respect to barrier properties, magnetic properties, conductivity, flame retardancy color/transparency, and anticorrosive properties, in addition to modulus, tensile strength and heat distortion temperature.
For superior storage applications, all these factors must be optimized and noble strategies should be developed for enhanced processing and understanding of the device fabrications.
Raj, Nanofluid with tunable thermal properties, Appl.
Online since: September 2017
Authors: Rafał Leszek Abdank-Kozubski, Gilles Demange, H. Zapolsky
At the same time, the knowledge of the microstructure is important to determine many properties of materials (mechanical, thermal, electrical, magnetic etc.).
The size, shape and spatial arrangement of such features in the microstructure determines the physical and mechanical properties of materials.
The constants ωj(α, k) are chosen to reproduce the desirable thermodynamic and mechanical properties of the simulated atomic aggregate.
In principle, this approach can even be used to describe the 3D pattern formation by any macroscopic objects and optimization of their properties.
Elastic properties (the stiffness constants, the shear modulus and the dislocation line energy and tension) of ni al solid solutions and of the nimonic alloy pe16.
Online since: June 2012
Authors: Kanwal Preet Bhatti, Vijay Srivastava
There has also been discovery of new materials that show ‘multiferroic’ properties.
Now we understand how one can get the interesting multiferroic properties by tuning the lattice parameter.
One can get more information about these materials and their properties in the review article [21].
The change in lattice parameters at transformation, together with the lattice-parameter-sensitivity of electromagnetic properties, suggests that the two phases can have diverse properties.
It should be noted that the theory required to directly relate l2 to hysteresis has been worked out in some detail, and that arguments for the apparent lack of sensitivity to other factors previously considered important (e.g. volume change) have also been developed [112].
Online since: July 2014
Authors: Jean Philippe Ponthot, Gaetan Wautelet
of the projection of the slave node xS onto the master surface and the property nM.
∆xS, (23) and then, since the contact pressure tn is proportional to the normal gap gn in the penalty method, it follows ∆tn = cn∆gn. (24) Then, the expression of the linearization of the unit normal ∆nM is quite cumbersome and depends only on the slave node position xS and the geometrical properties of the master surface.
The mesh is refined uniformly by a factor 2.
The mesh is refined uniformly by a factor 2.
The penalty coefficients are multiplied by a factor 100.
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