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Figure 1.
Jue et al. [15] performed a series of post-rolling heat treatments (without HIP), and the thickness of the interaction layer between U10Mo and Zr increased to 3.2 µm after 1 h at 650°C and to 27.1 µm after 1 h at 850°C.
Table 1.
References [1].
Jue, Microstructural characteristics of DU–xMo alloys with x = 7–12 wt%, Journal of Alloys and Compounds 479(1–2) (2009) 140-147

Fdraw,max=π⋅dm⋅t0eµ3⋅π21,1⋅σfm1⋅lndpdm+σfm2⋅t02rR. (1) The presented method was later slightly extended for aluminum hot forming by Merklein et al. [17].
Table 1: IHTC values between EN AW-7075 and die surfaces without lubricants.
References [1] Filzek J, Ludwig M, Groche P.
Metals 2020;10(1):47. https://doi.org/10.3390/met10010047
Friction 2015;3(1):1–27. https://doi.org/10.1007/s40544-015-0077-3

Fig. 1.
SEM images of the products synthesized by varying the amount of titanium butoxide in the precursor solution and the reaction time.1 ml: (a) 1 h, (b) 3 h, (c) 5 h; 3 ml: (d) 1 h, (e) 3 h, (f) 5 h; 5 ml: (g) 1 h, (h) 3 h, (i) 5 h.
Table 1.
References [1] B.
Kim, An unconventional route to high-efficiency dye-sensitized solar cells via embedding graphitic thin films into TiO2 nanoparticle photoanode, Nano Lett. 12 (2012) 479-485

References [1] X.P.
Mater. 41 (2013) 1-8
Pavement Des. 17 (1) (2016) 15-31
Des. 33 (1) (2012) 496 502
Eng. 479 (2019) 012053

Its basic performance is shown in Table 1 [11].
Chemical fibers international, 1998, 48(6) ,475-479
Chemical Research, 2008, 19(1):15-17
Fibers and Polymers, 2013, 14(1): 89-99
The Journal of The Textile Institute, 2016: 1-10

In view of this it is important to use these tools effectively and to forecast correctly their operability [1].
Fig. 1.
References [1] O.
Kurilin // Applied Mechanics and Materials: Scientific Journal. — 2014. — Vol. 682: Innovation Technology and Economics in Engineering. — [P.474-479]
No. 1 (130), 2008. pp. 49-56

Figure 1 shows the two different cell scales with all the cell elements while Table 1 gives a basic overview of the specifications for the cell elements.
a b HPDC machine CSIR-RCS Furnace Robot CSIR-RCS Furnace HPDC machine Figure 1.
Table 1.
References [1] L.
Wilkins, Shape rheocasting of high purity aluminium, Scripta Materialia 64 (2011) 479-482

Table 1.
-12-1 280 132 450 10.8 2 G 90000 0.044 0.011 1.71 0.54 0.54 SGO-21-1 280 132 450 10.8 1 G 90000 0.044 0.011 1.15 0.71 0.72 [14] CMU_1_1 1220 92 1220 19.5 1 C 203000 0.048 0.006 6.09 0.98 0.99 CMU_1_2 1220 92 1220 19.5 1 C 203000 0.048 0.006 6.35 1.02 1.03 CMU_1_3 1220 92 1220 19.5 1 C 203000 0.048 0.006 6.99 1.12 1.13 CL_1_1 1220 92 1220 24.5 1 C 203000 0.048 0.006 6.57 1.05 1.06 CL_1_2 1220 92 1220 24.5 1 C 203000 0.048 0.006 6.20 0.99 1.00 CL_1_3 1220 92 1220 24.5 1 C 203000 0.048 0.006 6.40 1.02 1.03 [15] SRGmag 390 120 1100 1.8 1 S 190000 0.011 0.012 1.24 1.14 1.14 SRGmag 390 120 1100 1.8 1 S 190000 0.011 0.012 1.24 1.14 1.14 SRGmag 390 120 1100 1.8 1 S 190000 0.011 0.012 1.24 1.14 1.14 SRGcem 390 120 1100 1.8 1 S 190000 0.011 0.013 0.71 0.59 0.60 SRGcem 390 120 1100 1.8 1 S 190000 0.011 0.013 0.71 0.59 0.60 SRGcem 390 120 1100 1.8 1 S 190000 0.011 0.013 0.71 0.59 0.60 Pnet 390 120 1100 1.8 1 G 13800 0.122 0.017 1.06 0.82 0.82 Pnet 390 120 1100 1.8 1 G 13800 0.122 0.017 1.06 0.82 0.82
Pnet 390 120 1100 1.8 1 G 13800 0.122 0.017 1.06 0.82 0.82 [16] SB_PBO_1 315 100 570 8.6 1 PBO 216000 0.017 0.009 1.64 1.58 1.57 SB_PBO_2 315 100 570 8.6 1 PBO 216000 0.017 0.009 1.44 1.37 1.38 SB_PBO_3 315 100 570 8.6 1 PBO 216000 0.017 0.009 1.47 1.40 1.41 HB_PBO_1 380 80 570 4.7 1 PBO 216000 0.014 0.009 1.03 1.23 1.24 HB_PBO_2 380 80 570 4.7 1 PBO 216000 0.014 0.009 1.18 HB_PBO_3 380 80 570 4.7 1 PBO 216000 0.014 0.009 1.17 [17] G1 1200 250 2700 4.0 1 G 70000 0.055 0.015 18.97 0.71 0.72 G2 1200 250 2700 4.0 1 G 70000 0.038 0.017 19.03 0.92 0.92 G3 1200 250 2700 4.0 1 G 72000 0.035 0.018 18.47 0.87 0.88 [18] GFRCM_01 1185 250 2675 4.0 1 G 65000 0.051 0.015 22.38 1.08 1.08 SRG_01 1185 250 2675 4.0 1 G 156000 0.021 0.016 30.07 [19] BB-1-R 1000 280 2840 7.9 1 G 30041 0.110 0.019 19.69 1.02 1.01 BR-1-R 1000 435 2840 4.5 1 G 30041 0.110 0.019 37.49 1.23 1.23 BC-0-R 1000 445 2840 1.0 1 G 30041 0.110 0.019 44.38 [20] SD-25-1 490 250 1020 7.6 1 B 95000 0.038 0.009 6.66 1.70 1.71 SD-25
-2 488 252 1020 7.6 1 B 95000 0.038 0.009 4.94 1.25 1.26 SD-25-3 485 250 1020 7.6 1 B 95000 0.038 0.009 5.36 1.37 1.38 SD-25-4 484 252 1020 7.6 1 B 95000 0.038 0.009 4.59 1.16 1.17 SL-25-1 482 255 1020 7.6 1 B 95000 0.038 0.012 5.90 1.10 1.11 SL-25-2 479 252 1020 7.6 1 B 95000 0.039 0.012 5.63 1.07 1.07 SL-25-3 485 250 1020 7.6 1 B 95000 0.038 0.012 5.39 1.03 1.04 SL-25-4 480 250 1020 7.6 1 B 95000 0.039 0.009 5.08 1.30 1.31 SD-50-1 483 250 1020 7.6 1 B 95000 0.042 0.012 6.30 1.10 1.10 SD-50-2 484 250 1020 7.6 1 B 95000 0.042 0.012 5.48 0.95 0.96 SD-50-3 485 252 1020 7.6 1 B 95000 0.042 0.012 4.56 0.78 0.79 SD-50-4 480 248 1020 7.6 1 B 95000 0.043 0.012 6.16 1.09 1.09 SL-50-1 480 250 1020 7.6 1 B 95000 0.043 0.012 4.84 0.84 0.85 SL-50-2 480 247 1020 7.6 1 B 95000 0.043 0.012 5.44 0.96 0.97 SL-50-3 487 246 1020 7.6 1 B 95000 0.042 0.012 4.67 0.83 0.84 SL-50-4 489 250 1020 7.6 1 B 95000 0.042 0.012 6.33 1.10 1.11 [21] RMFST-12 500 230 1000 4.0 1 S 149000 0.126 0.005 13.38 1.33 1.33 RMFST-
Figure 1.

The SEM image of wire wear is shown in Fig. 1.
A B C D E Average WWR S/N Ratio(dB) 1 1 1 1 1 1 0.045 26.94 2 1 1 2 2 2 0.036 28.87 3 1 1 3 3 3 0.020 33.98 4 1 2 1 1 2 0.055 25.19 5 1 2 2 2 3 0.048 26.38 6 1 2 3 3 1 0.048 26.38 7 1 3 1 2 1 0.049 26.20 8 1 3 2 3 2 0.068 23.35 9 1 3 3 1 3 0.049 26.20 10 2 1 1 3 3 0.033 29.63 11 2 1 2 1 1 0.032 29.90 12 2 1 3 2 2 0.010 40.00 13 2 2 1 2 3 0.049 26.20 14 2 2 2 3 1 0.040 27.96 15 2 2 3 1 2 0.032 29.90 16 2 3 1 3 2 0.046 26.74 17 2 3 2 1 3 0.059 24.58 18 2 3 3 2 1 0.039 28.18 Table 8 Response table for mean and S/N values of significant parameters Process parameters Level WWR S/N ratio (dB) Type of wire (A) 1 0.0464 27.05 2 0.0377 29.23 Pulse width (B) 1 0.0293 31.55 2 0.0453 27.00 3 0.0516 25.87 Time between two 1 0.0461 26.82 pulses 2 0.0471 26.84 3 0.0330 30.77 The effective melting or evaporation will only take place if the required energy of fusion is received.
Following conclusions can be drawn from experimental work. 1.
Reference [1] P.
Junik: Effect of cryogenic treatment on distribution of residual stress in case carburized En 353 steel, Mater Sci Eng A Vol 479(1) (2008), 229–235

Fig. 1.
Qiu Yan, Huiyong Wang and Hao Wang constructed a combined model of gray GM (1,1) and linear regression for a taxi passenger volume forecasting.
The Grey Model: The GM (1,1) model is a classic Grey Prediction Model which has many advantages and which mathematical foundation is simple [19,20,21].
Table 1.
Seyedalizadeh-Ganji,Mohammad Joharianzadeh, A PSO algorithm for continuous berth allocation problem, International Journal of Shipping and Transport Logistics, 2015, 7(4), pp. 479-493