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Online since: January 2017
Authors: Ke Jian, Yan Zi Gou, Jin Long Wang, Hao Wang, Wu Rong Ren
Fig.1 The flow chart of generating boron carbide hollow microspheres.
The polymerization reaction was carried out as shown by Scheme.1.
Scheme.1 Synthetic route of the boron carbide precursor.
References [1] D.Vladislav, R.
M. 1998,3:474-479
The polymerization reaction was carried out as shown by Scheme.1.
Scheme.1 Synthetic route of the boron carbide precursor.
References [1] D.Vladislav, R.
M. 1998,3:474-479
Online since: August 2019
Authors: Nitjawan Sahatsapan, Tanasait Ngawhirunpat, Theerasak Rojanarata, Prasopchai Patrojanasophon, Praneet Opanasopit
Afterwards, DOP at the 1:1 molar ratio to SCS was dropped to the polymer solution.
Mucin stock solution (5% w/v) was newly made in phosphate buffer (PB) pH 7.4, before mixing with the polymer at the volume ratio of 1:1.
The findings are shown in Fig. 4 and Table 1.
References [1] M.
European Journal of Pharmaceutical Sciences, 12, 4 (2001) 479–485
Mucin stock solution (5% w/v) was newly made in phosphate buffer (PB) pH 7.4, before mixing with the polymer at the volume ratio of 1:1.
The findings are shown in Fig. 4 and Table 1.
References [1] M.
European Journal of Pharmaceutical Sciences, 12, 4 (2001) 479–485
Online since: May 2016
Authors: Jintamai Suwanprateeb, Waraporn Suvannapruk
Figure 1: Chemical structure of rifampicin [6].
Samples Vacuum/0 mmHg Drug solution level (percentage of bead’s height) Impregnation duration (minutes) Immersion No NA. 30 1_step Yes NA. 30 2_step Yes NA. 15-15 3_step Yes NA. 10-10-10 1_step_10 Yes 10% 30 1_step_30 Yes 30% 30 1_step_50 Yes 50% 30 1_step_70 Yes 70% 30 1_step_90 Yes 90% 30 · Characterizations.
IR spectra were obtained over the region 400-4000 cm-1 using the KBr pellet technique with a resolution of 4 cm-1.
References [1] J.
Res., 16 (2012) 479-482
Samples Vacuum/0 mmHg Drug solution level (percentage of bead’s height) Impregnation duration (minutes) Immersion No NA. 30 1_step Yes NA. 30 2_step Yes NA. 15-15 3_step Yes NA. 10-10-10 1_step_10 Yes 10% 30 1_step_30 Yes 30% 30 1_step_50 Yes 50% 30 1_step_70 Yes 70% 30 1_step_90 Yes 90% 30 · Characterizations.
IR spectra were obtained over the region 400-4000 cm-1 using the KBr pellet technique with a resolution of 4 cm-1.
References [1] J.
Res., 16 (2012) 479-482
Online since: January 2016
Authors: Kamil Binek, Juraj Žilinský
Confrontation of ceramic bricks and aerated concrete bricks
Those physical characteristics used for graphical representation are introduced in Fig.1.
Savings function is exponential blue-line and the investment return period of 1 year, from 1.98 years and 2.2 years.
References [1] STN 73 0540-2:2012 Thermal protection of buildings.
Renewable and Sustainable Energy Reviews, Vol. 16, Issue 1, January 2012, pp. 415-425 [6] R.
Yüksel: Optimum Insulation Thickness of External Walls for Energy Saving, Applied Thermal Engineering, 23 (2003) pp. 473-479 [13] Joysef Nyers, Slavica Tomić, Arpad Nyers, Economic Optimum of Theraml Insulating Layer for External Wall of Brick, Acta Polytechnica Hungaria Vol.11, NO. 7, (2014) pp. 209 -222.
Savings function is exponential blue-line and the investment return period of 1 year, from 1.98 years and 2.2 years.
References [1] STN 73 0540-2:2012 Thermal protection of buildings.
Renewable and Sustainable Energy Reviews, Vol. 16, Issue 1, January 2012, pp. 415-425 [6] R.
Yüksel: Optimum Insulation Thickness of External Walls for Energy Saving, Applied Thermal Engineering, 23 (2003) pp. 473-479 [13] Joysef Nyers, Slavica Tomić, Arpad Nyers, Economic Optimum of Theraml Insulating Layer for External Wall of Brick, Acta Polytechnica Hungaria Vol.11, NO. 7, (2014) pp. 209 -222.
Online since: August 2012
Authors: Dao Jing Wang, Xing Hua Liu, Fu Shui Liu
The engine specifications are listed in Table 1.
When the equivalence ratio is more than 1 due to EGR, the temperature of exhaust decreased because of unburned hydrogen.
(2) The effect of hot EGR on is not significant at high load conditions; the changing range is less than 1%
References [1] Sun Da-wei, Liu Fu-shui, Sun Bai-gang, etc.
Int.J.Hydrogen energy, 2002,27:479~487
When the equivalence ratio is more than 1 due to EGR, the temperature of exhaust decreased because of unburned hydrogen.
(2) The effect of hot EGR on is not significant at high load conditions; the changing range is less than 1%
References [1] Sun Da-wei, Liu Fu-shui, Sun Bai-gang, etc.
Int.J.Hydrogen energy, 2002,27:479~487
Online since: March 2016
Authors: M.R. Sahar, S.F. Abd Rahman
Table 1: The sample composition in mol% glasses and labelling.
Figure 1 illustrated the DTA traces of P2O5-MgO-TiO2-Li2O glasses for various concentration of TiO2.
Figure 1.
References [1] P.W.
International Journal of Chemical Sciences, 10:1 (2012) 479-489 [14] B.J.
Figure 1 illustrated the DTA traces of P2O5-MgO-TiO2-Li2O glasses for various concentration of TiO2.
Figure 1.
References [1] P.W.
International Journal of Chemical Sciences, 10:1 (2012) 479-489 [14] B.J.
Online since: April 2013
Authors: Shao Yi Wu, Min Quan Kuang, Bo Tao Song, Xian Fen Hu
The perturbation formulas of these quantities are expressed as follows [14]:
g// = gs + 8kz/E1 + kz2/E22 + 4kz2/(E1E2) -gsz2[1/E12-1/(2E22)] + kz3(4/E1-1/E2) /E22
-2kz3[2/(E12E2)-1/(E1E22)] + gsz3[1/(E1E22) - 1/(2E23)] ,
g^ = gs +2kz/E2 - 4kz2/(E1E2) + kz2(2/E1-1/E2)/E2 + 2gs z2 / E12
+kz3(2/E1-1/E2)(1/E2+2/E1)/(2E2)-gsz3[1/(2E12E2)-1/(2E1E22) +1/(2E23)] ,
A// = P (–κ – 4H/7 + (g// – gs) + 3(g^ – gs)/7),
A^= P (–κ + 2H/7 + 11(g^ – gs)/14)
Applying the perturbation method similar to that in Ref. [11], the high order perturbation formulas of Knight shifts can be obtained for a tetragonally elongated octahedral 3d9 cluster: K// =2NAμB23d{8k/E1+kz/E22+4kz/(E1E2)-gsz[1/E12-1/(2E22)]
+kz2(4/E1-1/E2)/E22 -2kz2[2/(E12E2) -1/(E1E22)] + gsz2[1/(E1E22) - 1/(2E23)]},
K^ =2 NA μB23d {2k/E2-4kz/(E1E2)+kz(2/E1-1/E2)/E2 + kz2(2/E1-1/E2)(1/E2+2/E1)/(2E2)
+2gsz/E12 - gsz2[1/(2E12E2) -1/(2E1E22)+1/(2E23)]} (4)
Then these formulas are adopted for the studies of Tl2Ba2CuO6+y, where Cu2+ locates on a tetragonally elongated oxygen octahedron.
References [1] T.G.
Taylor, Physica Status Solidi RL, 5[1] (2011) 1
Pawar, Journal of Alloys and Compounds, 479 (2009) 732
Applying the perturbation method similar to that in Ref. [11], the high order perturbation formulas of Knight shifts can be obtained for a tetragonally elongated octahedral 3d9 cluster: K// =2NAμB2
References [1] T.G.
Taylor, Physica Status Solidi RL, 5[1] (2011) 1
Pawar, Journal of Alloys and Compounds, 479 (2009) 732
Online since: October 2007
Authors: Jan Raška
The
complet constitutive equation (Eq. 1) can be
also re-writed into 4 independent equations
(traction, shear, flexion, twist) [1, 2, 3, 4].
The half-wave number n (the half-wave number perpendicular to the load direction) is equal n=1, it corresponds to the minimum critical load.
At the Fig. 4, there are shown the results of the finite element method 1700 1750 1800 1850 1900 1950 2000 2050 2100 2150 2200 0 1 2 3 4 5 6 7 8 9 10 aspect ratio a/b [-] critical unitary forse N 0 [Nmm-1] flexural/tw ist anizotropy ortotropy m=6 m=7 m=1 m=2 m=3 m=4 m=5 m=8 m=9 m=10 Fig. 3: Critical load as the function of the plate as- pect ratio 0,890 0,895 0,900 0,905 0,910 0,915 0,920 0 1 2 3 4 5 6 7 8 9 10 aspect ratio a/b [-] knockdown factor ηηηη [-] m=1 m=2 m=3 m=4 m=5 m=6 m=7 m=8 m=9 m=10 Fig. 4: Knockdown factor as the function of the plate aspect ratio Table 1: Approximation function coefficients m u m v m w m s 1 -1,560 0,191 1,807 -0,00858 2 -1,562 -0,453 1,990 3 -1,066 -0,701 2,038 4 -0,818 -0,813 2,064 5 -0,696 -0,876 2,079 6 -0,575 -0,914 2,090 7 -0,479 -0,941 2,097 8 -0,242 -0,953 2,102 9 -0,180 -0,965 2,107 10 0,007 -0,966 2,110 analysis (points) and the approximation (curves).
For the simple approximation function expresion, we define a non-dimensional geometric variable as follows: ( ) 1, 1 −= b a m b a mr (7) The general bi-quadratic approximation function of knockdown factor depends on the geometric variable and on the anisotropy factor: ( ) ( ) ( )swrvrur mm m +++−= δδ δη 2 1, (8) where the values of coefficients um, vm, wm and s are summarised on the Table 1.
References [1] Weaver, P.
The half-wave number n (the half-wave number perpendicular to the load direction) is equal n=1, it corresponds to the minimum critical load.
At the Fig. 4, there are shown the results of the finite element method 1700 1750 1800 1850 1900 1950 2000 2050 2100 2150 2200 0 1 2 3 4 5 6 7 8 9 10 aspect ratio a/b [-] critical unitary forse N 0 [Nmm-1] flexural/tw ist anizotropy ortotropy m=6 m=7 m=1 m=2 m=3 m=4 m=5 m=8 m=9 m=10 Fig. 3: Critical load as the function of the plate as- pect ratio 0,890 0,895 0,900 0,905 0,910 0,915 0,920 0 1 2 3 4 5 6 7 8 9 10 aspect ratio a/b [-] knockdown factor ηηηη [-] m=1 m=2 m=3 m=4 m=5 m=6 m=7 m=8 m=9 m=10 Fig. 4: Knockdown factor as the function of the plate aspect ratio Table 1: Approximation function coefficients m u m v m w m s 1 -1,560 0,191 1,807 -0,00858 2 -1,562 -0,453 1,990 3 -1,066 -0,701 2,038 4 -0,818 -0,813 2,064 5 -0,696 -0,876 2,079 6 -0,575 -0,914 2,090 7 -0,479 -0,941 2,097 8 -0,242 -0,953 2,102 9 -0,180 -0,965 2,107 10 0,007 -0,966 2,110 analysis (points) and the approximation (curves).
For the simple approximation function expresion, we define a non-dimensional geometric variable as follows: ( ) 1, 1 −= b a m b a mr (7) The general bi-quadratic approximation function of knockdown factor depends on the geometric variable and on the anisotropy factor: ( ) ( ) ( )swrvrur mm m +++−= δδ δη 2 1, (8) where the values of coefficients um, vm, wm and s are summarised on the Table 1.
References [1] Weaver, P.
Online since: August 2018
Authors: Khaled A. Abou-El-Hossein, Muhammad Mukhtar Liman, Peter Babatunde Odedeyi
Table 1.
The neural network architecture used for this study is shown in Fig. 1.
Fig. 1.
References [1] Al Hazza M H F, Adesta E Y, Seder A M.
"Predictive modeling of surface roughness and tool wear in hard turning using regression and neural networks," International Journal of Machine Tools and Manufacture, vol. 45, pp. 467-479, 2005
The neural network architecture used for this study is shown in Fig. 1.
Fig. 1.
References [1] Al Hazza M H F, Adesta E Y, Seder A M.
"Predictive modeling of surface roughness and tool wear in hard turning using regression and neural networks," International Journal of Machine Tools and Manufacture, vol. 45, pp. 467-479, 2005