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Effect of Sintering Temperature on the Formability and Pore Closure Behavior of Al-SiC Composites J.
Powder mixture corresponding to Al-10%SiC and Al-20%SiC were blended using a pot mill to obtain a homogeneous powder blend.
S et. al.,(1986)).
The microstructure of sintered pure Al without SiC addition showed more porosity than Al preforms with SiC additions.
El-Sheikh, “Workability in Forging of Powder Metallurgy Compacts”, Journal of Materials Processing Technology, Vol. 54, (1995),p. 97-102

Table 1 Chemical compositions of the strip material in the hot rolling ( %,Weight) C Si Mn P S Al 0.165-0.125 0156-0.055 0.700-0.500 0.030-0.000 0.025-0.000 0.055-0.000 The height reduction and rolling speed of each pass are shown in Table 2.
As may be seen from this figure, the of temperature the surface nodes drop due to the heat convection and heat radiation, while temperature increase occurs at the symmetric plane with time because of the heat transfer from the surface. 0 10 20 30 40 50 60 830 840 850 860 870 880 Temper at ur e ( ℃ ) Temper at ur e ( ℃ ) Temper at ur e ( ℃ ) Temper at ur e ( ℃ ) Di s t anc e f r om s t and al ong r ol l i ng di r ec t i on Di s t anc e f r om s t and al ong r ol l i ng di r ec t i on Di s t anc e f r om s t and al ong r ol l i ng di r ec t i on Di s t anc e f r om s t and al ong r ol l i ng di r ec t i on (((( mmmmmmmm) 0.0 0.2 0.4 0.6 0.8 1.0 900 905 910 915 920 925 930 Nodes of surface Nodes of symmetry Temper at ur e ( ℃ ) Temper at ur e ( ℃ ) Temper at ur e ( ℃ ) Temper at ur e ( ℃ ) Time (s) (a) Temperature curve vs. distance from stand (b) Temperature curve vs. time Fig. 5 Modeling of temperature variation
For example the temperature data of file outputted by the Fig. 6 Temperature histories of the header, the middle and the tailor of the strip initial iteration read the number of nodes numnp f i rst node of el ement ?
So we proposed that the weighted mean temperature is taken for the surface temperature compared with the data from the plant. 0 10 20 30 40 50 700 750 800 850 900 950 1000 Temper at ur e ( ℃ ) Temper at ur e ( ℃ ) Temper at ur e ( ℃ ) Temper at ur e ( ℃ ) No. of el ement No. of el ement No. of el ement No. of el ement 1 2 3 4 5 6 7 830 840 850 860 870 880 890 900 910 920 Meas ur ed t emper at ur e Meas ur ed t emper at ur e Meas ur ed t emper at ur e Meas ur ed t emper at ur e Cac ul at ed t emper at ur e Cac ul at ed t emper at ur e Cac ul at ed t emper at ur e Cac ul at ed t emper at ur e Temper at ur e ( ℃ ) Temper at ur e ( ℃ ) Temper at ur e ( ℃ ) Temper at ur e ( ℃ ) No. of Pass No. of Pass No. of Pass No. of Pass Fig. 8 Calculated FDT curve at the exit Fig. 9 Measured and calculated temperature value of finishing pass Fig. 9 shows the temperature data at exit entrance of seven passes from the plant and the

El-Araby et al. study the characteristics of palm oil methyl esters blends with diesel fuel.
Alicia et al. dispersed graphene nanoparticles in transformer oil.
Journal of Electrical Engineering and Technology, 12(2), 820–829. https://doi.org/10.5370/JEET.2017.12.2.820 [6] El-Araby, R., Amin, A., El Morsi, A.
K., El-Ibiari, N.
N., & El-Diwani, G.

Nevertheless, recent 3D dislocation dynamics calculations by Devincre et al.
We assume multiplicative decomposition into an elastic and a plastic contribution Fij = F(el) ik F(pl) kj (14) as well as volume preservation during plastic deformation det Fij ≡ J , det F(pl) ij = 1 → det F(el) ij = J , (15) where J denotes the Jacobi determinant of the deformation gradient.
The velocity gradient is calculated using the deformation gradient as Lij = ˙FikF−1 kj = L (el) ij + F(el) ik L (pl) kl F(el)−1 lj . (16) On the other hand, its plastic part is identified to be the superposition of individual slip rates together with slip plane normal and slip direction L (pl) kl = ∑ α ˙γαtαknαl , (17)i.e., in complete analogy to the Schmid tensor weighted linear combination used in the preceding section.
Inserting equation (17) into equation (16) gives Lij = L (el) ij + ∑ α ˙γα˜tαi ˜nαj , (18) with ˜tαi and ˜nαj being the pushed forward quantities tαi and nαj from the undeformed to the deformed configuration, i.e., ˜tαi = F(el) ij tαj , ˜nαj = nαi F(el)−1 ij .
The symmetric and antisymmetric parts of Lij are the rate of deformation tensor Dij and the continuum spin tensor Wij Dij = D(el) ij + ∑ α ˙γα1 2 (˜tαi ˜nαj + ˜nαi ˜tαj ) = D(el) ij + ∑ α ˙γαSαij (19) Wij = W(el) ij + ∑ α ˙γα1 2 (˜tαi ˜nαj − ˜nαi ˜tαj ) = W(el) ij + ∑ α ˙γαAαij (20) Then the objective derivative of the Kirchhoff stress is ▽ K(el)ij= ˙Kij − W(el) ik Kkj + KikW(el) kj = Λijkl (Dkl − ∑ α ˙γαSαkl) , (21) again with Λijkl being the fourth order elasticity tensor.

This paper uses time history analysis method to consider the effect of 3 kinds of seismic waves(El-Centro, Taft and a set of artificial wave (recorded as Rgb) ) for 5 kinds of models by means of finite element software Ansys, analyse seismic response with each model, study the influence of different types of stairs to overall frame structures[6].
In X direction maximum top displacement for different models gradually increase from LT-2, LT-3, LT-4, LT-5 to LT-1 under the action of El-Centro and Rgb wave, gradually increased from LT-2, LT-4, LT-3, LT-1 to LT-5 under the action of Taft wave.
(a) El-Centro (b) Taft (c) Rgb Fig.2 Time history of top displacement for X-direction (a) El-Centro (b) Taft (c) Rgb Fig.3 Time history of top displacement for Y-direction In Y direction maximum top displacement for different models gradually increase from LT-2, LT-3, LT-4, LT-1 to LT-5 under the action of El-Centro wave, gradually increased from LT-2, LT-4, LT-3, LT-1 to LT-5 under the action of Taft and Rgb wave.
Vol.30 (2008), p.412 [4] Sang B K,Young H L,Andrew S,et al: J.
Vol.64 (2008), p.253 [5] Halil S,Ramazan A,Adem D,et al: J.

Given that the seismic response under Taft wave is similar to that under El Centro wave, the results of Qian’an wave, El Centro wave and Hachinohe wave are presented in Fig. 3.
Under EL Centro wave, the peak shear force response of IRS is basically less than that of NIRS OBE and the shear force ratio of IRS to NIRS equals approximately 1/4.
[11] Takafumi MIYAMA, Demin FENG, et al: Shaking Table test of Various Seismic Isolation System: Part 8 The Effect to the Dynamic Response of the building from the Dependencies of Rubber Bearings, Summaries of technical papers of Annual Meeting Architectural Institute of Japan.
[12] Masao IIZUKA, et al: A Study on Building Base Isolation for LWR Plants, Summaries of technical papers of Annual Meeting Architectural Institute of Japan.
[13] Kaoru MIZUKOSHI, et al: A Study on Building Base Isolation for LWR Plants, Summaries of technical papers of Annual Meeting Architectural Institute of Japan.

Inspired by trajectory analysis of the PSO and quantum mechanics, Sun et al. developed and proposed the quantum-behaved particle swarm optimization (QPSO) algorithm[11,12].
Each experiment run for 30 times independently and the mean values of location error El and standard deviation of the results are recorded.
(a) Locations estimated by QPSO (b) Locations estimated by PSO Fig.1 Results of locations estimated based on QPSO and PSO Table 1 Simulation results for 30 times run Mean of El Min El Max El SD QPSO 0.353126 0.183302 0.628563 0.12309 PSO 0.711063 0.205839 1.707619 0.285847 Table 2 A summary of results of QPSO and PSO-based WSN node location QPSO PSO Iteration NL EL NL EL 1 10 1.3457 9 1.6478 2 26 0.8954 26 1.4389 3 45 107.6743* 45 29.9491* 4 48 10.2364 48 9.6539 5 50 1.8905 50 1.9723 * These causes represent large location errors due to flip ambiguities which the system corrected in subsequent iterations Acknowledgements This work was financially supported by the College-level Key Project of Wuxi City College of Vocational Technology (WXCY-2011-GZ-006).
Goldenberg, et al.: IEEE Trans.
Wang, et al.: A two-phase localization algorithm for wireless sensor network, in Proc.

El-Sherbiny1,a, Ahmed Y.
El-Fawkhry2,c, T.
C Si Mn Al V TRIP-1 0.15 1.4 0.8 0.05 0.01 TRIP-2 0.15 1.4 2 0.05 0.01 TRIP-3 0.15 1.4 2.6 0.16 0.01 The ingots were then forged into plate shape with thickness ≤ 14 mm.
References [1] Zhong, N., et al.
"Effect of isothermal bainitic transformation temperature on retained austenite fraction in C-Mn-Si-Al-Nb-Ti TRIP-type steel."

Al-Ali, S.
Al-Agili,M.H.
El-Seesy, E.
El-Shenawy, M.
El Shenawy,N.M.

Thus the early Gordon and El-Bassyouni findings [2] that, in Al with a few ppm atomic of impurities the most important element affecting grain growth was deduced to be Fe rather than Cu, strongly support the above premise since the solubility of Fe in Al at annealing temperatures of Al alloys is much lower than that of Cu.
Subsequent work on CReX indeed indicated that Fe content of below 1 ppm atomic was required for nominally pure Al [6,7,8] and Al-Mg alloys [9].
This procedure was to getter the Fe solutes as previously shown for Al-Mn [10] and Al-Fe [4, 6] alloys.
El-Bassyouni: Trans.
Hansen et al., Riso Lab., Denmark (2000), p. 545 [13] J.