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Reference [21, 22] shows that the maximum equivalent strain of propellant grain is 15% and the strain of the rest of grain is about 10% under the combined action of gravity load and curing cooling thermal load.
The main advantages of this algorithm are fast iterative convergence, less affected by the condition number of overdetermined matrix, relatively stable operation results, simple algorithm and easy software implementation.
Du, Stress analysis of propellant grain loaded in composite case motor under vertical storage, J.

The microstructure - yield strength component of the model to be presented in this work includes 6 distinct types of obstacles to dislocation movement: dissolved atoms (Cu, Mg), dislocations, precipitates (co-clusters, S phase) and grain boundaries.
The superposition of various strengthening contributions to the total CRSS of the grains is calculated as: (9) qq cl q ss tot 1 ) ( ττττ Δ+Δ+Δ=Δ Σ (10) where q is the superposition exponent.
The yield strength of the alloys is related to the total CRSS by Taylor factor M: σy=σi+MΔτtot, where the intrinsic strength of the matrix σi is assumed to be constant. σi consists of the yield strength for (commercially) pure aluminium and the contribution of the grain boundary strengthening.
The Vickers hardness number is converted to the yield strength using the method described in Ref. [14].

The grain size of all powders was between 63 µm and 200 µm, according to the current industrial standard for additional materials for PTA welding [16].
Due to the high chemical affinity of chromium for carbon, Cr23C6 precipitations occur at the grain boundaries.
If this con-tent is lower due to the formation of chromium carbides, corrosion resistance is no longer guaranteed and lead to intergranular corrosion at grain boundaries or areas adjacent to them.
Only the carbon content showed percentage deviations of 9.56 %, but in absolute numbers these were in the range of hundred.

For platinum catalyst preparation, 0.3-0.6 mm grain support fraction was selected, then dry impregnated with H2PtCl6 solution.
Table 1 Nitrogen physisorption data of mesoporous and conventional SAPO-11 SAPO-11 Micropore volumes [ cm3/g ] Mesopore volumes [ cm3/g ] BET area [ cm2/g ] Convention Mesopore 0.078 0.075 0.014 0.052 211.6 203.3 The number of acid sites for the mesoporous and conventional SAPO-11 was determined by NH3-TPD as shown in Table 2.
It can be seen that the mesoporous SAPO-11 has comparable number of acid sites as the conventional one.

A number of parameters control the properties of the electrodeposited composite coatings and include besides reinforcement shape, size and content, also, bath composition, current density, pH, bath temperature, additives to the bath and efficiency of agitation [10].
The grain size distribution of the alumina particles added to the bath was such as to have > 90% with < 2µm (Figure 1).
A number of mechanisms have been proposed to explain the co-deposition of ceramic particles in a metallic matrix.

Table 2 Average milk production of cows Group Ⅰgroup Ⅱgroup Ⅲgroup Ⅳgroup The number of test dairy cow(head) 10 10 10 10 1st d 20.10 20.16 20.12 20.13 10th d 20.00 20.36 21.92 23.95 20th d 19.58 20.98 21.88 25.67 30th d 19.32 21.80 22.45 25.83 40th d 19.20 21.78 22.70 25.68 50th d 18.16 21.93 22.68 21.88 60th d 18.18 21.88 22.53 24.55 total 134.54 148.89 154.28 170.66 Day milk yield 19.22±0.79 21.27±0.76 22.04±0.91 24.38±4.61 Milk Yield and Ingestation.
Table 3 Milk production and feed intake of every period Group Ⅰgroup Ⅱgroup Ⅲgroup Ⅳgroup Test number of dairy cow(head) 10 10 10 10 Test time length(d) 60 60 60 60 Day average milk yield(kg/ head)) 19.22±0.79 21.27±0.76 22.04±0.91 24.38±4.61 Average dairy fatratio(%) 3.48 3.49 3.59 3.55 4% standard milk* 16.72a 18.55b 19.78bc 21.64bc Production increasing rate(%) 100.00 110.94 120.99 129.43 Day ingestation of green feeds(kg/ head)) 22.0 24.0 25.0 25.0 Day ingestation of hay (kg/ head)) 5.00 5.00 5.00 5.00 Day ingestation of fine feeds (kg/ head)) 7.00 7.60 8.00 8.30 milk feeds 2.39 2.44 2.47 2.60 Note：* Because the rate of fat in milk, so use containing 4% milk fat as standard.
[5]Beauchenin K A，Yang VZ lode L M.Effects of Grain source and Fhzyxre Additive Site and Extent ofllbtrient Digestionlairy[J].J.Iairy Sci，1999，82(2)：37，390

The number is getting larger each year.
The replacement ratios of fly ash and the samples' number are shown in Table 2.
When the process of hydration is underway continuously, all hydration products fulfill space which was taken up by water previously, solid grains were getting closer and structure was turning denser.

Rather, the data are noisy due to outliers and mis-calibrated sensors, incomplete as a result of dropped messages, and coarse-grained in both time and space as devices cannot sample infinitely nor be deployed with complete coverage.
The adapter module has many attributes which are corresponding with the parameters of the read-write hardware, such as port number, baud rate, data bit, parity bit and stopping bit.
The configure Module remote configures the parameters of every read-write server, e.g. configuring the parameters of the adapter in the read-writer server(port number, baud rate, data bit, parity bit, stop bit), configuring such parameters of read-write server as read or write speed(reading times every second)，the format of read data and transferred, acceptable order set of read-write server.

The result of cement particles hydration is to generate a large number of solid hydrate, increase the number of indirect contacts between particles and particles, reduce the gap between particles, the structure tends to close, crystals and gels through the formation of the cohesion between the structure strengthening links between the power of grain enhanced, to harden cement loess and improve the strength of loess and water stability Loess contains lots of clay particle.

Some scholars who used the PFC3D space structure of the particle accumulation system has carried on the simulation study, using compressible model simulation software PFC3D under the weight of the generated particles stacking system of void fraction and anglicizing the gradation curve, graining size distribution, particle shape, etc.
The discrete element method (DEM) model based on image can simulate the shape of the aggregate particles well, but this model has a great number of units with speed slow.
Aiming at the shortcomings of the above, the future development direction of discrete element should be roughly: Developing the complex shapes of basic particle discrete element and modeling method based on image or X - ray combined with these fundamental particles, should reduce the particles in the model number, improve the operation speed, consider voids in asphalt mixture, water, solid liquid gas three phase interaction with improve the accuracy and reliability of the discrete element numerical simulation.