Search results

The mean grain size of the alloy was about 18 μm.
Φ4Φ4 (a)Rotating bending (b)Ultrasonic Fig.1 Shape and dimensions of specimens Specimen surface Compound layer Specimen surface Compound layer Fig.2 Microstracture of nitrided alloy Specimen surface Compound layer Fig.3 S-N curves of plain specimen (a)Ultrasonic (b)Rotating bending Detail of notch 10 4 105 10 6 10 7 10 8 10 9 0 200 400 600 800 1000 1200 Stress amplitude a (MPa) Number of cycle to failure, Nf (cycle) Aged alloy-US Nitrided alloy-US Aged alloy-TC Nitrided alloy-TC 10 4 10 5 106 10 7 10 8 0 200 400 600 800 1000 1200 Stress amplitude a (MPa) Number of cycle to failure, Nf (cycle) Aged alloy-RB Nitrided alloy-RB Aged alloy-TC Nitrided alloy-TC Fig.6 shows relation between crack growth rate ddN and stress intensity factor range ΔK in both alloys under ultrasonic.

Finally, metal impurities in the grain boundaries can increase atomic activation energy and decrease diffusion coefficient of metal impurities.
When solidification interface shape is convex, the silicon ingot is easy to produce big air bubble and large numbers of defects.
When interface shape is concave, it is prone to form fine crystal zone and produce impurity entrainment, pore and large numbers of defects [9].

The theoretical studies show that the concentration of antisite defects on both the sublattices are comparable, but the number of vacancies on Nb sublattice is much higher than the number of vacancies on the Sn sublattice [11].
In general, vacancies are consumed by sites that act as sinks, such as interfaces, grain boundaries, and edge dislocations [14].

It was determined that the number of lateral cracks that would be observed from one cross section of cemented carbide was dependent on the loading force and the number of loading cycles.
The propagation of cracks may be dominated by the interfaces WC-to-Co, which depends on the particle size, distribution of the WC grains but also on the binder composition and the interfacial energy of WC/WC and WC/Co interfaces [7].

A high-purity fine-grained SiC powder was used as the growth source.
Let the number of vacancies in the intermediate layer in the course of spinodal decomposition be .
If we assume that the decomposition yields 6H-regions and 3C-regions with widths and , we arrive to the vacancy number preservation condition with .

A key issue for the safety and reliability of those SRM missiles and consequently for the effective and economic managements of missiles' inventory is the efficient Structural Health Monitoring of the energetic propellant grain.
This elongation resulted in radius decrease with associated changes in waveguiding conditions for a number of guided modes in the fiber.
Acknowledgements This work was funded by the R&D Project SESAMO (SEnsors for StructurAl Monitoring) of the European Defense Agency, Grant Number A-0931-RT-GC.

It is layuped in the sequential pattern along the grain, then mitered, lapped or butted at the end, gelatinized and hot-pressing processing.
At the other end of the plank, the ultrasonic signal transmitted to the MCU via receiving circuit triggers the Single Chip Microcomputer external interrupt which makes the count stop so that the current number T1 can be available from TCNT1.
At first, pulse number N = 0, the number of rotations M = 0, each turn rotary encoder sends 500 pulses, and the arrival of each rising edge triggers the external interrupt INT0, N + +.
At the other end of the plank, the ultrasonic signal transmitted to the MCU via receiving circuit triggers the Single Chip Microcomputer external interrupt which makes the count stop so that the current number T1 can be available from TCNT1.
Materials Evaluation,1996(54):51425171 Table 1 Table Type Styles SUMMARY ANOVA groups Observed number summation average variance of the number Column 1a 8 29331.41 3666.427 7339.683 Column 2 8 29692.8 3711.601 6481.811 Analysis of variance Different sources SS df MS F P-value F crit between Groups 1 29331.41 8162.69 1.181159 0.295478 8.861593 Within Group 14 29692.8 6910.747 Total 15 Fig.6 Time and Length Measurement Subroutine

Table 1 Index of coordinated development evaluation in WSE system Water resources subsystem Socioeconomy subsystem Environment subsystem Water resources per capita Population density Forest coverage Annual runoff Proportion of cultivated area Proportion of flood area Proportion of water resources utilization GDP per capita Proportion of treated municipal sewage Proportion of irrigated area Grain production per capita Proportion of saline area Water Consumption per 10,000RMB of GDP Proportion of urbanization Proportion of drought area Water consumption per unit irrigation area Natural population growth rate Proportion of waste water to surface runoff Water consumption per 10,000RMB of industrial output value Economic growth rate Proportion of Water Consumption for Environment Water consumption per capita Proportion of R&D to GDP Proportion of environmental investment to GDP Proportion of population with unavailable drinking water The number of college students per 10,000 persons Proportion
An assessed sample, where m is the number of indicators, and the kth grade standard restructure a set pair.The connexion degree of can be expressed as (1) Where, and is degree of identity, discrepancy and contrary for , respectively. , is the coefficient of discrepancy, ; J is the coefficient of the contrary, .
Given a matrix , where m is the number of indicators, and n is the number of the samples, the entropy weight of the ith indicator is defined as (4) Where; is the entropy of ith indicator, .
If the coordination degree is expressed by the numbers within the interval [0,1], the smaller is , the bigger the coordination degree is.
So the coordination degree is described as (9) Where n is the number of the subsystems.

The test materials are280mm long, 700mm wide and 2mm thick and straight grained materials used in length direction as the fiber direction.
Looking at the length direction of the highest probability is the principal curvature 1 bend model to evaluate the vibration characteristics, and only the number of frequency transfer function 1 times the number of the natural bending vibration by inverse Fourier transform, get the attenuation curve and calculate the logarithmic decrement.
The dynamic modulus can be calculated from calculated 1 time natural bending vibration number.
Suppose the 1 bending vibration number is equal to the 1 natural bending vibration numbers of the both ends of the beam, and Dynamic modulus of the plate is calculated, then the dynamic modulus is divided by density to calculate the ratio of dynamic modulus.
Core material effect on wave number and vibrational damping characteristics in carbon fiber sandwich composites.

According to the source and the present situation of waste concrete, through fully broken to improve grain shape, reduce the recycled aggregates are the weak factors, as the preparation of some or all of the aggregate concrete, to produce recycled concrete strength development will not produce adverse effect.
And recycled aggregate particles Table 1 The basic properties of the coarse aggregate coarse aggregate natural aggregate recycled aggregate RC-A RC-B Particle size range（mm） 5-40 5-40 5-40 Waste concrete strength （MPa） - 24.6 37.8 bulk density（kg/m3） 1420 1248 1286 apparent density（kg/m3） 2712 2410 2468 crushing index（%） 4.87 10.2 9.8 water absorption（%） 0.35 3.52 2.77 more edges and corners, rough surface, the composition contains a considerable amount of hardened cement mortar, mortar pore water mudstone itself is larger, and in the process of crushing, its internal produced a large number of micro cracks.
For example: number RC-A-10 meaning as A kind of waste concrete aggregate replacement of native aggregate 10%, and so on.
Block in the standard curing room standard curing 28 days respectively to detect a number of data, the remaining piece of 56 days also continue to maintenance detection as a trial data, test the content of rebound testing and compressive strength test, the spring back process according to the technical specification for concrete compressive strength of the rebound method "(JGJT23-2011).
Mainly because a large number of cement mortar adhered on the surface of the recycled coarse aggregate, resulting in a decline in surface hardness and rebound value reduced.