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The dynamic properties of the boilers were tested experimentally in the last year [1] and recently, numerically as well [1, 10, 11, 12, 13, 14, 15, 16].
Reference [12] analyses possibilities of mathematical simulations of the mechanical behaviour of membrane walls.
It is obvious that it is a system with significantly anisotropic properties.
The geometric scale was chosen; scales respecting material properties will be used for the model.
If this scale refers to the quantity that affects the specific activity only marginally, the relevant model law can be declared to be weak.

Analyses of the results were performed in order to (1) compare large vs. small grain behavior at fixed stresses, and (2) understand and quantify fatigue properties in relation to varying stress.
Table 6 shows the cycles to failure for each test, along with computed properties such as the average number of cycles to failure, the sample standard deviation for the test data set, and the Weibull slope [31].
Table 6: Cycles to failure for each test, along with computed properties such as the average number of cycles to failure.
Effects of alloying elements on properties of aluminum alloys [SubsTech].
Aluminum: properties and physical metallurgy.

The thermal property was studied by differential scanning calorimetry (DSC), thermogravimetric analysis (TGA) and dynamic mechanical analysis (DMA).
Thermal properties of PA12T.
DMA was also used to characterize the thermal property of PA12T (Fig. 6).
The crystallization process affects polymer properties through the crystal structure and morphology established during the molding process.
In order to obtain materials with better physical properties, it is important to study the isothermal and non-isothermal crystallization processes[19].

Whereas, there are numerous uncontrollable factors that affecting this shape, such as changes in the gate geometry, variations in the Fermi level pinning at the QW, surface or at the interface with the gate metal, doping uniformity in the heterostructure material and trapping of charge in deep levels in top cap layer [11, 12].
Limitations of Conductance Quantization Several factors can affect the quantized conductance plateaus for instance, threading dislocations (TDs) can significantly affect them by carrying an electrical potential due to accumulation of dopant or the presence of charged traps [35].
This contributes to the drain current and affects the plateaus structure.
Das, Composition dependent structural, electrical, and optical properties of p-type InSb thin film for homojunction device application, Dig.
Kouwenhoven, Quantized Conductance and Large g-Factor Anisotropy in InSb Quantum Point Contacts, Nano Letters, 16, 12 (2016) 7509–7513

Ÿ During the operation process, there are quite a lot of influencing factors, for instance, the upstream and downstream water level, ship size, water level in ship reception chamber and so on.
The change of these factors will affect the operation process, and corresponding measures should be adopted.
The production process of custom control can be summarized as follows: Firstly, create a custom project; then design custom control UI and add necessary public property.
The Storyboard property enables UserControl to realize animation and design action.
Taking advantage of this property, 3D models built by 3DMax can be called in the program if they’re exported to proper .ASE model files.

The process of gas flow in the blast furnace is influenced by a range of uncontrolled factors.
The main factor of influence for the process of gas flow formation is the distribution of burden components with different permeability properties.
This is due to high penetration property of gamma rays.
The factors of influence on burden surface texture considered in the papers may be divided into two groups.
The influence of two first factors is shown at Figure 3.

Bulk metallic glasses (BMGs) [4-6], fabricated by rapid solidification, have received much attention due to their many unique properties, for example superior strength, large elastic strain limit and relatively low Young’s modulus compared to their crystalline counterparts [7-12].
One group of specimens was mechanical thinned, polished and then dimpled to a thickness of less than 15 um.
The TEM image and DSC trace are similar to those observed in ground-up specimen of Zr41.25Ti13.75Ni10Cu12.5Be22.5 BMG specimens (not shown), which suggests that the electropolishing process does not affect the microstructure of the amorphous phase [25].
The ion implantation is another factor to affect the surface morphology of the TEM sample.

Saravanan 2,b 1 Research Scholar – Mechanical Engineering, Karpagam University, Coimbatore, Tamil Nadu State, India 2 Dean - Mechanical Engineering, Sri Krishna College of Technology, Coimbatore, Tamil Nadu State, India a manojkumar@scmsgroup.org b r.saravanan@skct.edu.in Keywords: Reclaimed rubber, Reverse logistics, Network design, used tires, Tire Recycling, Matlab, Material recovery Abstract- Managing the products at the end of its intended use and recovery of such used products from the market is gaining significant importance these days due to global environmental concerns, resource reduction, government regulations and economic factors.
Naturally it affects the quality of material recovered also.
Due to increasing environmental deterioration, green manufacturing, government regulations, corporate social responsibilities, resource reduction, and economic factors, many companies are now engaged in the material recovery business.
Work is on-going in CEN TC366 to validate CEN TS14243 into a European standard and to develop standards related to certain physical, composition characteristics of the materials produced from ELTs as well as to determine general properties of whole tires as required for further processing.
The recycling plant of manufacturing reclaimed rubber will setup its own sorting cum shredding unit across the state based on the geographical and availability factors of used tires and they will collect the used tires from the tire shop directly without collection agents.

And the mechanical properties of soil are given in Table 2.
In fact, the distribution of pore-water pressure is an important factor in affecting directly the distribution of effective stress and deformation of soils.

The cutting performance of a blade depends on its stiffness and the inner edge roundness, and affects greatly the surface quality and machined accuracy of the sliced wafers.
Table 1 Properties of ID blade and slicing parameters Descriptions Parameters Outer diameter [mm] 422 Inner diameter [mm] 153 Thickness of blade [mm] 0.12 Width of diamond layer [mm] 2.5 Thickness of diamond layer [mm] 0.29 ID blade Diamond grit size [µm] 60-80 Diameter [mm] 32, 40, 52, 65, 76, 85 Ingot size Length [mm] 200 Spindle rotation n [rpm] 1800 Feed speed vf [mm/min] 30, 40, 50, 60, 70 Fig.1 Experimental set-up for deflection and vibration signals measurement Results and Discussion Vibration Signals in the Blade Working Life.
As shown in Fig.6, the feed speed affects the slicing processes obviously.
In ID slicing process, the warp of the wafer is an important factor, which would make the blade easily to scrape the wafer or ingot especially at a certain depth of cut, and so induce the vibration in the blade [4], especially the axial vibration or deflection.
Jiang and Y.Yuki: Journal of Mechanical Design, Vol.115 (1993), pp.711