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The microhardness numbers of the three types of microstructure are shown in Table.2.
The microhardness number of the black microstructure is similar with granularity pearlite, the microhardness number of the gray microstructure is similar with martensite, and the white microstructure with extreme higher microhardness must be carbide [10].
As shown in Fig.4(a), it could be infer from the morphology of granular carbide and the microhardness number of the black microstructure that the black microstructure is granular pearlite.
According the microhardness number of the gray microstructure and the shear in Fig.4(b), the gray microstructure must be martensite.
Therefore, plenty of diffuse cementite nucleuses were distributed in the austenite grain when the matrix was at a sufficiently high temperature below A1 temperature.

Specimens are molded by wooden pattern, made close-grained by earthquake toppled and is removed after 24h.
Table.1 Experimental result of uncorroded specimens group 1 2 3 stress level S1=0.75 S1=0.75 number (MPa) number Nf number (MPa) result 1-1 1-2 1-3 1-4 1-5 1-6 30.39 28.09 29.82 31.58 32.44 26.15 2-1 2-2 2-3 13581 12339 14761 3-1 3-2 3-3 24.96 26.11 25.98 average 29.74 13561 25.68 Table.2 Experimental result of corroded specimens group 4 5 6 stress level S1=0.75 S1=0.75 number (MPa) number Nf number (MPa) result 4-1 4-2 4-3 4-4 4-5 4-6 27.51 26.93 28.84 27.93 26.29 28.16 5-1 5-2 5-3 9891 10281 9933 6-1 6-2 6-3 21.03 21.47 23.76 average 27.62 10035 22.09 P - R - N Curve.

So as the grain of parallel different, PGAs can be divided in four methods[7]: Simple PGA (SPGA), Master-slave PGA (MPGA), Island PGA (IPGA) and Cell PGA (CPGA).
Alg. 1 pseudo-code of SMRPGA function mapper() { runs GA; // identify GA is ran on Mapper ejects the result to Reducer; } function reducer(key, value) { foreach(key) { // choose the best result if(value[key] is better than best_value) { replace the best_value with value[key]; } } eject the best_value; } main() { set input method; //set input nothing set output method; // set the output position of result set Mapper; // set Mappers’ number set Reducer; // set Reducer’s number 1 submit job; } Implementation and Experiment Sets MapReduce environment.
So the number of all possible passwords are MJ. 2) Mountain function[9] This function is very simple and the maximum value is 1 when x=1.
Parameters setting are as the following: 1) Password function Length of password J = 10; The number of character M = 8; Only one individual is set in population since password function is no hinting.
When f(x) doesn’t equal to 1, GA randomly selects one character and replaces it with a random character. 2) Mountain function Domain N = 20; The number of people = 200; The length of gene = 63; Crossover factor = 0.2; Mutation factor = 0.1; Fig. 2 The speed-up of SMRPGA for password function (left) Fig. 3 The speed-up of SMRPGA for mountain function (right) Figure 2 and figure 3 display the variation of iteration times and running time with the change of Mappers’ number, at the same time display the speed-up of two ways: iteration times and wall clock time.

Investigate the influence of sand ratio on concrete performance when the powder paste reaches the fixed number 350L, the concrete optimum performance.
(3)Coarse aggregate: coarse aggregate used in the test is gravel. 5 ~ 16mm and 16 ~ 25mm two kinds of grain size gravel mixed, blending ratio was 40%, 60%.
Table 3 The manufactured sand concrete mix Group number Water-cement ratio Water /L Superplasticizer /% Cb I1 0.6 170 0.7 283.33 I2 0.6 170 0.7 283.33 I3 0.6 170 0.7 283.33 I4 0.6 170 0.7 283.33 I5 0.6 170 0.7 283.33 I6 0.6 170 0.7 283.33 I7 0.6 170 0.7 283.33 I8 0.6 170 0.7 283.33 Table 3 The manufactured sand concrete mix (continued) Group number Cement /kg Fly ash (40%) Plus powder /kg Solid volume /L Sand ratio /% Powder paste volume /L I1 170 113.33 134.8 701.73 45 350 I2 170 113.33 124.6 701.73 43 350 I3 170 113.33 115.9 701.73 41 350 I4 170 113.33 116.0 701.73 39 350 I5 170 113.33 107.2 701.73 37 350 I6 170 113.33 72.5 701.73 35 350 I7 170 113.33 63.7 701.73 33 350 I8 170 113.33 50.8 701.73 31 350 Table 4 The performance of concrete mixture under the situations of different sand ratio when the water-cement ratio is 0.6 Group number Sand ratio (%) Superplasticizer (%) Slum (mm) Extension degree (mm) Description of workability I1 45 0.7 215 470 dry thick, no bleeding
Table 5 Compressive strength (MPa) Group number 28-day strength 56-day strength I1 25.00 33.39 I2 25.28 31.44 I3 24.79 29.79 I4 24.24 30.72 I5 24.98 32.87 I6 24.11 31.53 I7 24.45 33.34 I8 21.45 29.76 Fig. 5  Effect of sand ratio on compressive strength We can infer from the table, the strength variation of the I1, I2, I5, I7 four groups is very small, while other groups’ strength decreased. 

Apart from this, the elimination of grain and oil-vote system, the establishment of housing system and so on, all of which have contributed to provide a greater free corridor for the flow of urban-rural migration.
Among them the rural elderly empty-nest households has 11.2 million, accounting for 71.58% of the total number of the elderly empty-nest households.
The large number of migrant workers returning to the countryside, however, has caused a shock to the balance in the local employment situation, which was already weak.
The pattern of the original village and township enterprises economy has been weakened significantly in a number of coastal cities already.
The fundamental one is that it’s located in the Yangtze River Delta economic zone which enjoys a number of economic priority policies.

Laminated templates electro-deposition (LTE) is a new manufacturing technique aimed at a highly precise and low-cost fabrication of metallic structures through a number of planar template-patterned depositing.
Since a number of planar depositing are performed in turn, the surface quality of one single depositing will determine whether the next round runs well and what level of precision the finish part can have.
Therefore metallic grains forming here enjoys a higher possibility to grow into protuberances and cluster-like crystal with big size at an over-increased growth rate[4].

A number of variables are investigated in order to determine how they affect the cavitation resistance of the welded joints, including mechanical attributes, welding parameters, and microstructural features.
FSW has a number of benefits, such as decreased distortion, enhanced mechanical qualities, and better microstructural features in the welded joints.
Retrieved from [URL] [8] Liu, M., & Zhang, S., Analysis of Microstructure and Grain Boundary Effects on Cavitation Resistance, Acta Materialia, 22(1) (2018) 89-104

One of the characteristics of aluminium alloys is that a number of final strip properties are influenced considerably already at very early process stages.
The same is true for all other variables, which describe a given material state, such as crystal orientation, state of dissolution, particle constitution, -size, grain size, etc..
A number of micro-models also interact where simultaneous reactions occur, e.g. the state of precipitation/solute level and nucleation of recrystallisation is strongly inter-linked.
In both models, a number of material models is incorporated in a fully coupled mode.
Technol. 123 (2002) p.155 [10] M.Crumbach, G.Pomana, P.Wagner, G.Gottstein, Recrystallisation and Grain Growth - Conf.

However, a large number of Ta-Nb oxide, are known to occur in such rocks as pegmatite and rare-metal granites.
SEM of rough mineral tantalum-niobium tailing mine From Fig. 1, inthe rough mineral tantalum-niobium tailing mine, it is obvious that the ore particle is belonging to coarse-grain with bigger particle diameter, the tailing mine contains albite, quartz and slice of lepidolite, and slice of lepidolite is completely free from albite and quartz, not embedded in bigger particles, meaning slice of lepidolite can be separated by next flotation process.

The results of measurements and other calculated values non- glazed stainless sheet (Ra = 1,2µm) , load FN = 26 N number of measurements n = 7 sample material The mean f (1) Standard deviation Range f for reliability p = 95 % I.
The table contains the results, which were used for the reconstruction of the conveyors in grain silos.