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Stability of the B2-type structure of Ti-Ni-Fe and Ti-Ni-Co shape memory alloys Mi-Seon Choi 1,a , Jumpei Ogawa1,b , Takashi.
A negative temperature dependence in the electrical resistivity [1-3], diffuse scattering near 1/3[110] or streaks in the electron diffraction pattern [4,5], softening in the TA2 phonon branch near 1/3[110] [6,7] etc. appearing in the parent phase of Ti-Ni alloys are considered to be premartensitc phenomena.
Figure 1 shows the cooling curve of DSC Fig. 1 DSC cooling curves of (a) Ti-(50-x)Ni -xFe, and (b) Ti-(50-x)Ni-xFe alloys.
References [1] T.
Forum Vol. 475-479 (2004), p. 1977 [16] J.

Tensile tests were carried out on Instron 1185 universal testing machine in the temperature range of 350-520°C and strain rates of 10-3-10-1 s-1.
Fig. 1.
EBSD maps from the samples gauge with highest elongations to failure: (a) ECAP (δ=2570%, 520oС, 1.4×10-2s-1); (b) ECAP and cold rolling (δ=3030%, 520oC, 1.4×10-2 s-1) contribution of grain boundary sliding to the total elongation may take place [1].
References [1] G.
Shin, Scripta Mater. 51 (2004) 479-483

Experimental results and discussion c d 1.
Microstructure b a f e Fig.1.
Conclusions 1.
References [1] X.F.
Journal of Alloys and Compounds, Vol.479(2009):303-306

Weight percentage of Sr-hexacelsian was 94(1) %.
The exception is the band at 459 cm-1 for BAS, as well as bands at 365 and 635.5 cm-1 for SAS.
Table 3 Observed IR wave numbers in cm-1.
BAS BAS:Yb3+ ∆ν SAS SAS:Yb3+ ∆ν assignment 355 355.5 0.5 365 358.5 6.5 394.5 394.5 0 391.5 393.5 2 υ2 SiO4[25] 459 466.5 7.5 475.5 479 3.5 482 482.5 0.5 498 499 1 570.5 571 0.5 565.5 564.5 1 υ4 SiO4[25] 638 636.5 1.5 635.5 642.5 7 672 671 1 671.5 671.5 0 A B Figure 5.
References [1] F.

The basic SOI-FET device structure is shown in Fig. 1(a).
Fig. 1.
Illustrations of the basic doping steps, critical for these two types of devices, are shown in Figs. 1(d) and 1(e).
References [1] H.
Lett. 6 (2011) 479

Curves 1-5 represent different soaking time of the function, (1) 1200-2h; (2) 1200-4h; (3) 1200-6h; (4) 1200-8h; (5) 1200-10h.
The temperature dependences of the dielectric constant in Fig. 5 at 1 kHz for PLZT 8/40/60 PLZT ceramics.
Pr, Ps and Ec, have been extracted from the experimental data and given in Table 1.
References [1] Y.T.
Soc. 56 (9) (1973) 479-480

Experimental methods and results The general experimental test geometry is shown in Figure 1.
Table 1 presents the experimental test matrix, it gives details of specimen geometries and lay-ups.
Figure 1: General experiment test specimen geometry Table 1: Test matrix for the material characterization experiment test series Test Lay-up L (mm) w (mm) t (mm) g (mm) Tensile [0]8 250 15 1 56 [90]16 175 25 2 25 [±45]2S 250 25 1 50 Compression [0]8 140 12 1 64 [90]16 140 12 2 64 The tensile fiber-direction and transverse direction properties of composite were determined from tensile test on [0]8 specimens and [90]16 specimens, respectively, both of which were in accordance with ASTM standard D3039[14].
References [1] T.
Cheng, Compos: Part B, 33 (2002) 479–489

References [1] Li Wenzhen, Yang Hongli.
Science and Technology of Advanced Materials, 2007, 8(1-2): 63-66
Journal Hanzhong Normal University: Journal of Natural Science, 2004, 22 (1): 57-60
Mater. 142 (2007) 1-53
Hazard.Mater.B137(2006)464-479.

Fig. 1 Casting set up using a vacuum centrifugal casting machine.
Table 1 shows the maximum thickness of α case obtained after oxidation.
In Table 1, α case in the forged samples was thicker than in the cast ones for each alloy.
References [1] Boyer, R., Welsch, G., Collings, E., 1994.
[7] Guleryuz, H., Cimenoglu, H.: Biomaterials, 2004, 479, 3325-3333

As shown in figure 1: Fig. 1 Parallel sensor structure based on Stewart platform Relations between the sensor receiving strength and the output strength are: (1) Here is the input-output strength Jacabi matrix then the above equation expressed the relationship between the receiving force of each rod and the receiving force of moving the platform.
Supposed m design variables,…, divide each design variable (i=1…m) into k parts equally in the feasible territory.
Optimized Result Analysis Using the improvement genetic algorithm carries on the optimization for based on the Stewart platform parallel sensor structure, the optimized result shown as table 1, shown obtaining sensor each homogeneous target with each variable change relations following see in Figure 5-8.
References [1] H.
Pittnes: Journal of robotic systems Vol. 10(1993), pp. 463-479 [2] O.