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Table 1 Ranges and units of influencing factors Factors Q[lh-1] t[mm] w[mm] l[mm] v[mms-1] Ranges(-,+) (817.3,2615.6) (15,45) (400,1000) (600,1200) (2,8) Fractional Factorial Designs.
Q[lh-1] t[mm] w[mm] l[mm] v[mms-1] Tmax[°C] 1 817.3 15 400 600 2 591 2 817.3 15 400 1200 8 292 3 817.3 15 1000 600 8 292 4 817.3 15 1000 1200 2 587 5 817.3 45 400 600 8 257 6 817.3 45 400 1200 2 479 7 817.3 45 1000 600 2 474 8 817.3 45 1000 1200 8 255 9 1634.7 15 400 600 8 580 10 1634.7 15 400 1200 2 1212 11 1634.7 15 1000 600 2 1212 12 1634.7 15 1000 1200 8 576 13 1634.7 45 400 600 2 998 14 1634.7 45 400 1200 8 490 15 1634.7 45 1000 600 8 485 16 1634.7 45 1000 1200 2 983 Main effect 413.625 -115.125 -4.375 -1.875 -413.625 Results and Analysis The results of 16 experiments are shown in Table 2.
The following conclusions are drawn: 1.
References [1] J.G.
Vol. 13, No. 1(1997), p. 22-27.

All above have their localization or some mistakes [1].
In the paper [1], a fitting velocity field expression was obtained by used conservation of mass.
Figures 1-3 show deceleration-time data, “Forrestal model” in [4] and the model built in this paper.
References [1] WANG Ming-yang, DENG Hong-jian, QIAN Qi-hu.
Int J Impact Eng Vol.28 No. 6: pp:479–497. (2003) [5] LIU Xiao-hu, LIU Ji.

Machining characteristics of G3 Compositions of G3 are listed in table 1[6].
Table 1 Chemical composition (wt.%) of G3 Ni Cr Fe C Mn Si Cu Mo Co Nb W Min 21.5 18.0 1.5 6.0 0.2 Max Bal 23.5 21.0 0.015 1.0 1.0 2.5 8.0 5.0 0.5 1.5 Table 2 Physical characteristics of G3 Temperature (°C) Specific heat (J/kgK) Thermal conductivity (W/mK) Elastic modulus (kN/mm 2) Rp0.2 /Rt0.1 (MPa) Coefficient of thermal expansion (MPa) 20 441 11.1 211 100 452 12.6 205 270/290 14.3 200 462 14.3 199 230/260 14.7 300 471 16.0 192 210/240 15.0 400 479 17.7 186 190/220 15.3 500 487 19.3 180 180/210 15.7 600 495 21.0 173 170/200 16.1 700 503 22.6 167 16.5 Table 2 detailed shows the Physical characteristics of G3 [6].
Fig.1 shows the fresh and carbide wear-cutter used in various rough turning conditions.
References [1] C.X.Zhang, Z.H.Zhang:China OCTG Conference (Xi'an, China, June, 2007)
:Cream.Soc, Vol.6840(2007), pp.1-6

And the combined simulation signal is shown in Fig. 1(d).
References [1] Huang N.
Hayes-Gill, “Application of empirical mode decomposition to heart rate variability analysis”, Medical and Biological Engineering and Computing, Vol.39,No.4, pp. 471-479, 2001
E., “Ensemble Empirical Mode Decomposition: a noise-assisted data analysis method”, Advances in Adaptive Data Analysis, Vol.1, No.1, pp:1-41,2009
“EEMD-1.5 dimension spectrum applied to locomotive gear fault diagnosis”[C], 2009 International Conference on Measuring Technology and Mechatronics Automation, ICMTMA 2009, v 1, pp 622-625, 2009.

Hot-Stamping Process Simulation and Optimize Research for Collision Beam of Automobile Door Chao Wang 1, a, Bin Zhu 1, b, Yisheng Zhang 1, c, Jie Shi 2, d, Han Dong 2, e 1State Key Laboratory of Material Processing and Die and Mould Technology, Huazhong University of Science and Technology, Wuhan 430074, China 2Central Iron and Steel Research Institute, National Eng.
The thickness of the blank is 1.8mm.
The chemical analysis of the ADVANCE- 1500 steel is given in Table 1.
Reference [1] Merklein, M., Lechler, J., Geiger, M.: CIRP Annals - Manufacturing Technology. 2006, 55(1): 229-232
[2] Turetta, A., Bruschi, S., Ghiotti, A.: Journal of Materials Processing Technology. 2006, 177(1-3): 396-400

Fig.1.
Summary 1.
References [1] Krivoukhov V.A.
Applied Mechanics and Materials Scientific. 682 (2014) 474-479
Technology, 1 (2008) 81–85

Results and Discussion Fig.1: Raman spectrum recorded on a Ge droplet.
In the Raman spectrum, the peak at ~300 cm-1 originates from Ge while the most prominent peak at ~776 cm-1 from 4H SiC.
The frequencies, line shapes and relative intensities of the characteristic carbon-related D (~1350 cm−1), G (~1582 cm−1) and 2D (~2700 cm−1) bands are indicative of defected and/or small sized graphene mainly comprising two graphitic layers.
References [1] T.
Res., 17 (2002) 479-486

Fig. 1.
Table 1.
References [1] W.
Res. 101 (2010) 473-479
Res. 1 (1986) 144-154

Results and Discussion Fig.1 Microstructures of surface alloyed layers for different alloying time (a) 0.5 h ; (b) 1 h ; (c) 2 h ; (d) 3 h (d) 50μm (c) 50μm (a) 50μm (b) 50μm Ⅰ Ⅱ Ⅲ Ⅳ A B Microstructures of alloyed layers with different alloying time are shown in Fig.1.
Some columnar crystals grow over the boundary into the substrate marked by A and B in Fig.1.
References [1] Z.Xu.
Vol. 475-479(2005) , p.187 [10] Y.M.Zhang, et al: Transactions of Materials and Heat Treatment.
Vol. 27(1) (2006) , p.112 [11] J.R.Chen, Z.H.Li: Mechanical Engineering Material.

Experimental Glass composition (mol%): 32TeO2-15SiO2-28AlF3-15CaO-10NaF-1.5ErF3 (marked A). 32TeO2- 15SiO2-28AlF3-15CaO-10NaF-1.5ErF3-1.5NdF3 (marked B).
Fig. 1.
Conclusions 1.
References [1] G.N.
Pena-Martínez, et al: Journal of Alloys and Compounds, 2009, 479(1-2):557