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The principle of the microwave heating consists in the development of some friction processes because the continuous orientation of the polar particles, inside the materials, after the electric lines field [1,3,5].
Fig. 1 The equipment used Fig. 2 The controls of the for the welding process heating process during welding To reveal the type of the structure and its transformation after the welding process, Differential Scanning Calorimetry (DSC) was used.
The properties of the base materials, determined by mechanical testing just before the microwave heating are presented in Table 1 and Figure 3.
Acknowledgement This work was partially supported by the grant number 47c/2014, awarded in the internal grant competition of the University of Craiova References [1] S.
A 8 June 1991 vol. 433 no. 1889 479-498 [7] Siores E., “Microwave Technology for Welding and Joining”, Mater.

Experimental Procedures The chemical composition of tested alloy is listed in Table 1.
Table 1 Chemical composition of HVHSS (wt.%) Samples C V Cr Mo Si Mn Fe 1 1.58 8.62 4.12 2.76 0.62 0.22 balance 2 1.90 8.52 4.35 2.82 1.03 0.31 balance 3 2.23 9.75 4.68 3.25 0.94 0.25 balance 4 2.58 9.30 4.28 3.43 0.83 0.20 balance 5 2.82 8.99 3.98 2.75 1.04 0.13 balance 6 2.92 9.03 4.32 3.00 1.15 0.16 balance Results Microstructure.
Fig. 1 Microstructure of high speed steel with different matrix(a) Ferrite matrix (sample 1) ; (b) Low-carbon lath martensite (sample 4); (c) High carbon tempered martensite (sample 6) Mechanical properties.
References [1] Andersson M., Finnström R and Nylén T: Ironmaking and Steelmaking Vol. 31(2004), p. 383 [2] H.G.
Xing: Materials Science and Engineering A Vol. 479(2008), p. 253 [5] K.

Fig. 1 shows one segment 3D modeling for electromagnetic simulation.
Cold crucible Hot crucible Si melt Model 1 Model 2 Model 3 Model 4 Crucible Configuration 0 10 20 30 40 Joule heating power (kW) Cold crucible Hot crucible Si melt Model 1 Model 2 Model 3 Model 4 Crucible Configuration 0 10 20 30 40 Joule heating power (kW) Fig. 4 Joule heating power as a function of EMCC crucible configuration under the induction coil current of 1,230 A.
As shown in Fig. 5, in the model 1 where the hot crucible having no slits is used, the electromagnetic pressure is lower than the hydrostatic pressure of the melt.
References [1] M.
Moon: Materials Science Forum Vols. 475-479 (2005), p. 2671

is named at least value of related coefficient, only concerns measurement times n.As is shown in table 1.
Suppose the actual traffic flow and predicted traffic flow (= 1, 2,..., 25) meet the following function relation: .
Known 10 trial value of variables（）（=1,2，10），as is shown in table 4.
Table 4 10 trial value of known variables i i 1 13598 9065 6 23314 15139 2 15638 10089 7 25762 16203 3 17280 10937 8 28468 17904 4 19094 12240 9 32218 20136 5 21099 13701 10 36073 22545 Through caculated： So to get the function relation of actual traffic flow and predicted traffic flow (= 1, 2,..., 25) ： .
References [1] Honghong Zhang: Some problems about evaluation study of expressway construction project.

The grinding circuit under study operates in a closed-circuit as shown in Fig.1.
Fig. 1.
Simulations For the nominal model of GC that described as in Eq. (1), we can obtain as where , and . .Here,.
References [1] A.
Stange, “Using artificial neural networks for the control of grinding circuits,” Minerals Engineering, vol. 6, no.5, pp. 479-489, 1993 [3] K.

It plays a dominant role in the transport of energy for the proper design of enclosure in order to achieve high heat transfer rates [1].
The thermo-physical properties of the components used in the analysis are summarized in Table 1.
Fig. 1 Computational domain Table 1 Thermo-physical properties (kg/m3) k (W/m.K) Cp (J/kg.K) (K-1) (kg/m.s) dp (nm) Water 993 0.628 4178 36.2e-5 695e-6 0.385 Cu 8955 400 386 1.67e-5 …….. 25 Al2O3 3970 40 765 0.85 e-5 …….. 25 TiO2 4157 8.4 710 0.9e-5 ……… 25 Results and Discussions The present method for natural convection is validated by using an air filled square enclosure.
Campo, Effect of nanofluid variable properties on natural convection in enclosures, International Journal of Thermal Sciences 49, 3 (2010) 479-491
Joint Conf. 1, (1983) 323–329

It can solve the complex optimized problems, which many conventional methods are difficult to solve [1-3].
Otherwise produce randomly d (01).
References [1] Wang Ling.
Omega, 2002, 30:479-487 [8] Swihart M R, Papastavrou J D. a stochastic and dynamic model for the single-vehicle pick-up and delivery problem [J].
Journal of China Jiliang University, 2005, 16(1):66-71 [12] Fang Lei, He Jian-Min.

Research Methodology for Surface Treated Alloy Steel Figure 1.
The research methodology for surface treated alloy steel is shown in figure 1.
Table 1.
References [1] Standard Terminology Relating to Wear and Erosion, Vol. 03.02 ASTM, 1987, pp. 243-250
Rajadurai and Krzysztof Junik: Mat Sci Eng A, Vol. 479 (2008), pp. 229

The typical discharge spectrum of electrical equipment is shown in Fig.1.
Fig.1 Typical electrical equipment discharge spectrum Principle of UV Pulse Detection.
(1) Compared to UV power method, UV pulse method is more sensitivity and it’s easier to apply.
Therefore, setting sampling time as 0.2s, 0.4s, 0.6s, 0.8s and 1.0s, measures pulses frequency by every 10cm from 20cm to 90cm.
Developments in Power System Protection, Conference Publication No. 479 IEE, 2001:157-160

In most previous works, researchers in this area focused on the names of persons, organizations, locations, etc[1].
Table 1.
Traditional features used in NER systems Feature-1 What is the token?
References [1] R.
Brown, et al., "Class-based n-gram models of natural language," Computational linguistics, vol. 18, pp. 467-479, 1992