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Online since: April 2021
Authors: Sergey B. Sapozhnikov, Olga Buslaeva
The most dangerous are subtle damages in the form of dents, chips, cracks, accompanied by delamination [1-5].
a b Fig. 1.
References [1] S.V.
Mechanics of Composite Materials, 49/1 (2013) 77-84
White, Comparison of compression-after-impact and flexure-after-impact protocols for 2D and 3D woven fiber-reinforced composites, Composites Part A: Applied Science and Manufacturing, 101 (2017) 471–479.
a b Fig. 1.
References [1] S.V.
Mechanics of Composite Materials, 49/1 (2013) 77-84
White, Comparison of compression-after-impact and flexure-after-impact protocols for 2D and 3D woven fiber-reinforced composites, Composites Part A: Applied Science and Manufacturing, 101 (2017) 471–479.
Online since: July 2012
Authors: Xin Zhou, Ying Ai Piao, Xue Wu, Wei Yu
Scheme 1 Synthesis of compound 1.
Fig. 1.
From left to right: Blank, Mg2+, Pb2+, Ca2+, Al3+, Ba2+, K+, Cu2+, Na+, Fe3+, Zn2+, Ni2+, Hg2+ With increasing Cu2+ ion concentration, the intensity of the absorbance peak at 479 nm slightly decreased and that of the absorbance peak at 538nm significantly increased, accompanied with an iso-absorptive point observed.
(b) Job’s plots of 1-Cu2+ complex indicate a 2:1 stoichiometry.
Reference: [1] R.
Fig. 1.
From left to right: Blank, Mg2+, Pb2+, Ca2+, Al3+, Ba2+, K+, Cu2+, Na+, Fe3+, Zn2+, Ni2+, Hg2+ With increasing Cu2+ ion concentration, the intensity of the absorbance peak at 479 nm slightly decreased and that of the absorbance peak at 538nm significantly increased, accompanied with an iso-absorptive point observed.
(b) Job’s plots of 1-Cu2+ complex indicate a 2:1 stoichiometry.
Reference: [1] R.
Online since: November 2013
Authors: Nurul Izrini Ikhsan, Mohamad Rusop, Saifollah Abdullah, Ahmad Afif Safwan Mohd Radzi, N.K. Sabri, Hafsa Omar
The peaks that occur is at 478 cm-1,614 cm-1,842 cm-1, 1053 cm-1 and 2194 cm-1.
The wavenumber of 614 cm-1 is showing the Si-Si bonds [8,9,10].From the figure 3(b) , there are also five peaks that can determined which are at 421 cm-1, 490 cm-1,874 cm-1,1045 cm-1 and 2252 cm-1.
The Si-H bond is at 2252 cm-1 and Si-O bond is at 490 cm-1.
The peaks are at 435 cm-1,482 cm-1,849 cm-1 and 1045 cm-1.The Si-H bond peak cannot be seen in the FTIR spectra and also the Si-Si bond.
Journal of Alloys and Compound 479 (2009) 579-582
The wavenumber of 614 cm-1 is showing the Si-Si bonds [8,9,10].From the figure 3(b) , there are also five peaks that can determined which are at 421 cm-1, 490 cm-1,874 cm-1,1045 cm-1 and 2252 cm-1.
The Si-H bond is at 2252 cm-1 and Si-O bond is at 490 cm-1.
The peaks are at 435 cm-1,482 cm-1,849 cm-1 and 1045 cm-1.The Si-H bond peak cannot be seen in the FTIR spectra and also the Si-Si bond.
Journal of Alloys and Compound 479 (2009) 579-582
Online since: October 2014
Authors: Ling Lu, Wen Lin Song
If f>1, the garlands may occur more.
(a) (b) (c) (d) (a) (b) (c) Fig.6 Flower centre and border Fig.7 The flower costa (a)j=0,n=1, H2=60°(b)j=0.9,n=1,H2=60° (a)g=1,n=2, ,H2=60°(b)g=1,n=1, H2=120°,He=90° (c)j=-0.2,n=3,H2=60°,He=60°(d)j=-0.8,n=3,H2=120°, He=60° (c) g=4, n=1, H2=120°, He=90° Flower costa simulation.
(a) (b) (c) (d) (e) (f) Fig.8 The flower garland and costa (a)p=1,f=0.5, q=0, j=0 ,m=3,g=4,n=3 H1=0°, H2=120° ,He=60° (b)p=1,f=0.5, q=0.5, j=0 ,m=3,g=4,n=3 H1=0°, H2=120° ,He=60° (c)p=1,f=0.5, q=0.5, j=0 ,m=3,g=4,n=3 H1=0°, H2=120° ,He=80° (d)p=1,f=0.5, q=1, j=0 ,m=3,g=4,n=3 H1=0°, H2=120° ,He=60° (e)p=1,f=1, q=0, j=0 ,m=1,g=1,n=1 H1=0°, H2=120° ,He=60° (f)p=2,f1=1, f2=10, q1=q2=0, j1=j2=0,,m1=m2=1, g1=1, g2=10, ,n1=n2=1, H1=0°, H2=120° ,He=60° Gazania rigens simulation.
Levoy Fast texture synthesis using tree-structured vector quantization.Proceedings of SIGGRAPH (2000) 479–488 [3]M.Walter,A.Fournier,D.Menevaux Integrating shape and pattern in mammalian models.Computer Graphics Proceedings , Annual conference Series , ACM SIGGRAPH , Los Angles , (2001) 317 - 326 [4]S.Lefebvre, F.Neyret Synthesizing bark.
Chinese Bulletin of Botany. 22 (1)(2005)70 - 81(In Chinese)
(a) (b) (c) (d) (a) (b) (c) Fig.6 Flower centre and border Fig.7 The flower costa (a)j=0,n=1, H2=60°(b)j=0.9,n=1,H2=60° (a)g=1,n=2, ,H2=60°(b)g=1,n=1, H2=120°,He=90° (c)j=-0.2,n=3,H2=60°,He=60°(d)j=-0.8,n=3,H2=120°, He=60° (c) g=4, n=1, H2=120°, He=90° Flower costa simulation.
(a) (b) (c) (d) (e) (f) Fig.8 The flower garland and costa (a)p=1,f=0.5, q=0, j=0 ,m=3,g=4,n=3 H1=0°, H2=120° ,He=60° (b)p=1,f=0.5, q=0.5, j=0 ,m=3,g=4,n=3 H1=0°, H2=120° ,He=60° (c)p=1,f=0.5, q=0.5, j=0 ,m=3,g=4,n=3 H1=0°, H2=120° ,He=80° (d)p=1,f=0.5, q=1, j=0 ,m=3,g=4,n=3 H1=0°, H2=120° ,He=60° (e)p=1,f=1, q=0, j=0 ,m=1,g=1,n=1 H1=0°, H2=120° ,He=60° (f)p=2,f1=1, f2=10, q1=q2=0, j1=j2=0,,m1=m2=1, g1=1, g2=10, ,n1=n2=1, H1=0°, H2=120° ,He=60° Gazania rigens simulation.
Levoy Fast texture synthesis using tree-structured vector quantization.Proceedings of SIGGRAPH (2000) 479–488 [3]M.Walter,A.Fournier,D.Menevaux Integrating shape and pattern in mammalian models.Computer Graphics Proceedings , Annual conference Series , ACM SIGGRAPH , Los Angles , (2001) 317 - 326 [4]S.Lefebvre, F.Neyret Synthesizing bark.
Chinese Bulletin of Botany. 22 (1)(2005)70 - 81(In Chinese)
Online since: November 2020
Authors: Igor E. Vyaliy, Sergey V. Gnedenkov, Sergey L. Sinebryukhov, Vladimir S. Egorkin, Alexander N. Minaev, Andrey K. Runov, Ulyana V. Kharchenko, Dmitry K. Tolkanov, Andrey S. Gnedenkov, Nikolay V. Izotov
For electrolytes, 0.6 g∙l-1 NaF, 10 g∙l-1 Na2B4O7∙10H2O, 25 g∙l-1 C4H4O6K2∙0.5H2O and 0 g∙l-1, 5 g∙l-1 Na2SiO3∙5H2O were used.
The next series of PEO-coatings was obtained in an electrolyte with 5 g∙l-1 Na2SiO3∙5H2O (fig. 1, d, e).
Fig. 1.
References [1] M.
Sci. 479 (2019) 105–113, doi: 10.1016/j.apsusc.2019.02.005
The next series of PEO-coatings was obtained in an electrolyte with 5 g∙l-1 Na2SiO3∙5H2O (fig. 1, d, e).
Fig. 1.
References [1] M.
Sci. 479 (2019) 105–113, doi: 10.1016/j.apsusc.2019.02.005
Online since: June 2008
Authors: A. Dzierwa, P. Pawlus, Rafal Reizer
Dzierwa
1, P.
Reizer 2 1 Rzeszow University of Technology, ul.
Table 1.
1 -0,864 -0,203 -0,256 0,429 -0,855 -0,904 -0,555 -0,879 -0,891 -0,876 Sz 1 -0,901 0,668 0,437 0,314 -0,646 0,969 0,916 0,566 0,911 0,966 0,93 Sku 1 -0,702 0,551 -0,348 -0,55 -0,437 0,299 -0,741 -0,747 -0,628 -0,74 -0,703 -0,545 Ssk 1 -0,593 0,452 -0,344 0,342 0,108 0,27 -0,263 0,362 0,425 0,439 0,386 0,356 0,479 St 1 0,324 -0,565 0,969 -0,921 0,726 0,419 0,169 -0,679 0,927 0,855 0,473 0,848 0,927 0,93 Sv 1 0,947 0,129 -0,425 0,868 -0,9 0,725 0,388 0,051 -0,605 0,825 0,793 0,415 0,788 0,832 0,844 Sp 1 0,754 0,925 0,509 -0,651 0,955 -0,82 0,628 0,396 0,287 -0,675 0,919 0,81 0,478 0,802 0,912 0,906 Sq 1 0,926 0,846 0,942 0,361 -0,725 0,978 -0,868 0,606 0,516 0,32
References [1] T.
Reizer 2 1 Rzeszow University of Technology, ul.
Table 1.
1 -0,864 -0,203 -0,256 0,429 -0,855 -0,904 -0,555 -0,879 -0,891 -0,876 Sz 1 -0,901 0,668 0,437 0,314 -0,646 0,969 0,916 0,566 0,911 0,966 0,93 Sku 1 -0,702 0,551 -0,348 -0,55 -0,437 0,299 -0,741 -0,747 -0,628 -0,74 -0,703 -0,545 Ssk 1 -0,593 0,452 -0,344 0,342 0,108 0,27 -0,263 0,362 0,425 0,439 0,386 0,356 0,479 St 1 0,324 -0,565 0,969 -0,921 0,726 0,419 0,169 -0,679 0,927 0,855 0,473 0,848 0,927 0,93 Sv 1 0,947 0,129 -0,425 0,868 -0,9 0,725 0,388 0,051 -0,605 0,825 0,793 0,415 0,788 0,832 0,844 Sp 1 0,754 0,925 0,509 -0,651 0,955 -0,82 0,628 0,396 0,287 -0,675 0,919 0,81 0,478 0,802 0,912 0,906 Sq 1 0,926 0,846 0,942 0,361 -0,725 0,978 -0,868 0,606 0,516 0,32
References [1] T.
Online since: December 2012
Authors: Asif Iqbal
Fig. 1 presents graphical illustration of the process.
Likewise, “0” for the parameter coolant represents “dry” while “1” represents “MQL”.
Table 1.
|Diff| 1 47 0 0 45 300 0.09 1.5 17.6 0.052 0.052 0.000 0.310 0.278 0.032 2 57 0 0 45 300 0.09 1.5 6.08 0.194 0.178 0.016 0.357 0.372 0.015 3 52 1 0 30 250 0.1 2 3.82 0.130 0.125 0.005 0.285 0.334 0.049 4 52 0 1 30 250 0.1 2 3.92 0.102 0.099 0.003 0.249 0.246 0.003 5 62 1 1 30 250 0.1 2 1 0.092 0.085 0.007 0.221 0.254 0.034 6 62 0 1 50 250 0.1 2 4.95 0.137 0.143 0.006 0.343 0.310 0.032 7 62 0 1 55 175 0.08 1.6 0.72 0.100 0.088 0.012 0.272 0.222 0.050 8 62 0 1 55 175 0.12 0.6 3.6 0.128 0.139 0.011 0.165 0.179 0.015 9 62 0 1 55 275 0.08 0.6 5.4 0.191 0.189 0.002 0.180 0.236 0.056 10 62 0 1 55 275 0.12 1.6 0.3 0.175 0.160 0.015 0.256 0.270 0.014 11 62 0 1 55 309 0.1 1.1 1.38 0.136 0.149 0.013 0.205 0.232 0.027 12 62 0 1 55 225 0.13 1.1 0.9 0.109 0.098 0.011 0.243 0.262 0.019 13 62 0 1 55 225 0.1 1.9 0.06 0.062 0.087 0.025 0.304 0.291 0.013 Percentage error 7.9% 10.5% References [1] T.
Karpat, Predictive Modeling of Surface Roughness and Tool Wear in Hard Turning Using Regression and Neural Networks, International Journal of Machine Tools & Manufacture, Vol.45, 2005, pp.467–479 [13] A.
Likewise, “0” for the parameter coolant represents “dry” while “1” represents “MQL”.
Table 1.
|Diff| 1 47 0 0 45 300 0.09 1.5 17.6 0.052 0.052 0.000 0.310 0.278 0.032 2 57 0 0 45 300 0.09 1.5 6.08 0.194 0.178 0.016 0.357 0.372 0.015 3 52 1 0 30 250 0.1 2 3.82 0.130 0.125 0.005 0.285 0.334 0.049 4 52 0 1 30 250 0.1 2 3.92 0.102 0.099 0.003 0.249 0.246 0.003 5 62 1 1 30 250 0.1 2 1 0.092 0.085 0.007 0.221 0.254 0.034 6 62 0 1 50 250 0.1 2 4.95 0.137 0.143 0.006 0.343 0.310 0.032 7 62 0 1 55 175 0.08 1.6 0.72 0.100 0.088 0.012 0.272 0.222 0.050 8 62 0 1 55 175 0.12 0.6 3.6 0.128 0.139 0.011 0.165 0.179 0.015 9 62 0 1 55 275 0.08 0.6 5.4 0.191 0.189 0.002 0.180 0.236 0.056 10 62 0 1 55 275 0.12 1.6 0.3 0.175 0.160 0.015 0.256 0.270 0.014 11 62 0 1 55 309 0.1 1.1 1.38 0.136 0.149 0.013 0.205 0.232 0.027 12 62 0 1 55 225 0.13 1.1 0.9 0.109 0.098 0.011 0.243 0.262 0.019 13 62 0 1 55 225 0.1 1.9 0.06 0.062 0.087 0.025 0.304 0.291 0.013 Percentage error 7.9% 10.5% References [1] T.
Karpat, Predictive Modeling of Surface Roughness and Tool Wear in Hard Turning Using Regression and Neural Networks, International Journal of Machine Tools & Manufacture, Vol.45, 2005, pp.467–479 [13] A.
Online since: December 2014
Authors: Zheng Ying Lin, Wei Zhang
To reserve the individual 1 into the set O while g r=0.
Fig.1.
References [1] Johnson S.
Naval Research Logistics Quarterly, 1(1954)61-68
European Journal of Operational Research, 165(2) (2005)479-494
Fig.1.
References [1] Johnson S.
Naval Research Logistics Quarterly, 1(1954)61-68
European Journal of Operational Research, 165(2) (2005)479-494
Online since: June 2011
Authors: Ali R. Massih
Fig. 1, are defined [6].
The structural free energy is Fst = ∫ [ga 2 (∇η)2 + V(η) ] dρ. (3) Here gb(∇ψ)2 and ga(∇η)2 account for the spatial dependence of the order parameters, gb and ga are positive constants, and U(ψ) = 1 2p0ψ2 + 1 4q0ψ4 and V(η) = 1 2r0η2 + 1 4u0η4 + 1 6v0η6 are the Landau type potential energies, where p0 and r0 are taken to be linear functions of temperature, e.g.
Hence, the expression for total energy becomes F[ψ, η] = ∫ [fψ(ρ, θ) + fη(ρ, θ) + fψη(ρ, θ)] dρ, (11) where the free energy densities are fψ = gb 2 (∇ψ)2 + 1 2p1ψ2 + 1 4q0ψ4 − H1ψ, (12) fη = ga 2 (∇η)2 + 1 2r1η2 + 1 4u1η4 + 1 6v0η6, (13) fψη = γψη2. (14) with p1 = p0 −α2/Λ and u1 = u0 −β2/Λ.
References [1] A.
Phys., 49:435-479, 1977
The structural free energy is Fst = ∫ [ga 2 (∇η)2 + V(η) ] dρ. (3) Here gb(∇ψ)2 and ga(∇η)2 account for the spatial dependence of the order parameters, gb and ga are positive constants, and U(ψ) = 1 2p0ψ2 + 1 4q0ψ4 and V(η) = 1 2r0η2 + 1 4u0η4 + 1 6v0η6 are the Landau type potential energies, where p0 and r0 are taken to be linear functions of temperature, e.g.
Hence, the expression for total energy becomes F[ψ, η] = ∫ [fψ(ρ, θ) + fη(ρ, θ) + fψη(ρ, θ)] dρ, (11) where the free energy densities are fψ = gb 2 (∇ψ)2 + 1 2p1ψ2 + 1 4q0ψ4 − H1ψ, (12) fη = ga 2 (∇η)2 + 1 2r1η2 + 1 4u1η4 + 1 6v0η6, (13) fψη = γψη2. (14) with p1 = p0 −α2/Λ and u1 = u0 −β2/Λ.
References [1] A.
Phys., 49:435-479, 1977
Online since: June 2012
Authors: Song Lin Chen, Lin Yuan, Zhong Qi Feng, Xi Jun Liu, Jia Lin Sun, Bo Pan, Jian Dong Wang
Therefore, trial production of MgO-ZrO2 brick applied for RH degasser is recommended.
1.
Two types bricks’ chemical compositions and physical properties were listed in table 1.
Assuming a tiny amount of ZrO2 dissolved in the molten steel, and the solution meets ideal solution condition and obeys Henry's law, according to reaction equation (2) [7], ZrO2 (s) = [Zr]1% + 2[O]1% = 793270 - 231.86T （J·mol-1） (2) When temperature (T) is 1900K, then= 352736J·mol-1, and, that is, .
Reference [1] Kajita Y.
Beijing: Metallurgical Industry Press, 2005: 370-479
Two types bricks’ chemical compositions and physical properties were listed in table 1.
Assuming a tiny amount of ZrO2 dissolved in the molten steel, and the solution meets ideal solution condition and obeys Henry's law, according to reaction equation (2) [7], ZrO2 (s) = [Zr]1% + 2[O]1% = 793270 - 231.86T （J·mol-1） (2) When temperature (T) is 1900K, then= 352736J·mol-1, and, that is, .
Reference [1] Kajita Y.
Beijing: Metallurgical Industry Press, 2005: 370-479