Sort by:
Publication Type:
Open access:
Publication Date:
Periodicals:
Search results
Online since: January 2006
Authors: Heinz Günter Brokmeier, Ming Yi Zheng, Kun Wu, Yo Kojima, Shigeharu Kamado, Wei Min Gan, Xiao Guang Qiao, Shi Wei Xu
Zheng
1, a
, S.
Xu 1, b , X.
Qiao 1, c , W.
Wu 1, e , S.
Forum, Vol. 475-479 (2005), P. 469 [7] M.
Xu 1, b , X.
Qiao 1, c , W.
Wu 1, e , S.
Forum, Vol. 475-479 (2005), P. 469 [7] M.
Online since: June 2019
Authors: Radu Eugen Breaz, Sever Gabriel Racz
Fig. 1.
Table 1.
Input Grade (1 to 10) 1.
Technol. 87, 479-499, (2016) [3] A.K.
Plennel, Int.J.ofMater.Forming, 1(1), 1191–1194, (2008) [14] M.
Table 1.
Input Grade (1 to 10) 1.
Technol. 87, 479-499, (2016) [3] A.K.
Plennel, Int.J.ofMater.Forming, 1(1), 1191–1194, (2008) [14] M.
Online since: November 2014
Authors: Tie Zhu Li, Qian Yu, Yan Ming Ren, Na Zhu, Fang Qian
Fig. 1 shows the stress of driving buses.
Fig. 1.
Difference values of two emission rates calculations in every bin Bins CO2 (g/s) CO (g/s) NOX (g/s) HC (g/s) Description of every bin VSP(kw/t) speed(km/h) Bin0 0%a 0% 0% 0% Idling Bin101 0% 7% 4% 1% <-6 （0,20] Bin102 0% 0% 0% 0% [-6,-3] Bin103 4% 8% 9% 3% [-3,-1) Bin104 4% 4% 3% 9% [-1,0] Bin105 1% 3% 8% 3% (0,1] Bin106 -2% -2% 8% -1% (1,2] Bin107 -2% 1% 1% -2% (2,4] Bin108 -27% -25% -18% -11% (4,6] Bin109 13% -12% -7% -4% (6,8] Bin110 -28% 11% 12% -10% (8,10] Bin201 -10% -10% -4% -3% <-6 (20,40] Bin202 1% -1% -1% 0% [-6,-3] Bin203 -8% -8% -3% -4% [-3,-1) Bin204 -1% -5% 2% 2% [-1,0] Bin205 -9% -9% -8% -5% (0,1] Bin206 9% 6% 6% 1% (1,2] Bin207 -1% 0% -3% -2% (2,4] Bin208 12% 11% 8% 8% (4,6] Bin209 2% 8% 3% 2% (6,8] Bin210 -7% -11% -5% -4% (8,10] Bin301 -17% -15% -5% -13% <-6 ＞40 Bin302 -33% -27% -31% -22% [-6,-3] Bin303 9% -5% 8% 9% [-3,-1) Bin304 1% -4% 4% 3% [-1,0] Bin305 -2% -8% -4% -2% (0,1] Bin306 6% 4% -2% 7% (1,2] Bin307 -1% -15% 2% -2% (2,4] Bin308 8% 11% 4% 5% (4,6]
References [1] G.
Li: Transportation Research Part D: Transport and Environment, Vol.13 (2008), p 479-482
Fig. 1.
Difference values of two emission rates calculations in every bin Bins CO2 (g/s) CO (g/s) NOX (g/s) HC (g/s) Description of every bin VSP(kw/t) speed(km/h) Bin0 0%a 0% 0% 0% Idling Bin101 0% 7% 4% 1% <-6 （0,20] Bin102 0% 0% 0% 0% [-6,-3] Bin103 4% 8% 9% 3% [-3,-1) Bin104 4% 4% 3% 9% [-1,0] Bin105 1% 3% 8% 3% (0,1] Bin106 -2% -2% 8% -1% (1,2] Bin107 -2% 1% 1% -2% (2,4] Bin108 -27% -25% -18% -11% (4,6] Bin109 13% -12% -7% -4% (6,8] Bin110 -28% 11% 12% -10% (8,10] Bin201 -10% -10% -4% -3% <-6 (20,40] Bin202 1% -1% -1% 0% [-6,-3] Bin203 -8% -8% -3% -4% [-3,-1) Bin204 -1% -5% 2% 2% [-1,0] Bin205 -9% -9% -8% -5% (0,1] Bin206 9% 6% 6% 1% (1,2] Bin207 -1% 0% -3% -2% (2,4] Bin208 12% 11% 8% 8% (4,6] Bin209 2% 8% 3% 2% (6,8] Bin210 -7% -11% -5% -4% (8,10] Bin301 -17% -15% -5% -13% <-6 ＞40 Bin302 -33% -27% -31% -22% [-6,-3] Bin303 9% -5% 8% 9% [-3,-1) Bin304 1% -4% 4% 3% [-1,0] Bin305 -2% -8% -4% -2% (0,1] Bin306 6% 4% -2% 7% (1,2] Bin307 -1% -15% 2% -2% (2,4] Bin308 8% 11% 4% 5% (4,6]
References [1] G.
Li: Transportation Research Part D: Transport and Environment, Vol.13 (2008), p 479-482
Online since: December 2016
Authors: Svetlana Chornaja, Konstantins Dubencovs, Valdis Kampars, Vera Serga, Elina Sile, Harijs Bariss, Svetlana Zhizhkuna
Scheme 1.
Figure 1.
Table 1.
References [1] E.
Catal. 55(7–10) (2012) 474–479
Figure 1.
Table 1.
References [1] E.
Catal. 55(7–10) (2012) 474–479
Online since: February 2015
Authors: Sani Amril Samsudin, Ibrahim Mohammed Inuwa, Azman Hassan
Table 1.
Designation Impact strength [J/m] Tensile strength [MPa] Young’s modulus [GPa] Flexural strength [MPa] Flexural modulus [GPa] Elongation at break [%] PET 36.0 ±2 51.2 ±2 1.6 ±1 75.4 ±1 2.3 ±0.5 4.5 ±0.3 PET/PP 70/30 30.1 ±3 31.2 ±3 1.4 ±1 44.0 ±2 2.2 ±1 3.3 ±0.2 PET/PP/SEBS-g-MA70/30/5 68.9 ±1 36.7 ±0.5 1.7 ±0.5 43.5 ±1 1. 7 ±1 3.6 ±0.5 PET/PP/SEBS-g-MA70/30/10 94.4 ±2 28.9±1 1.4 ±1 26.2 ±2 1.0 ±1 4.0 ±1 PET/PP/SEBS-g-MA70/30/15 79.1 ±3 17.0 ±1 1.1 ±1 17.2 ±2 0.9 ±0.5 25 ±3 Conclusion PET/PP (70/30) blends were prepared using melt blending technique with 5 – 15 phr compatibilizer content.
References [1] C.W.L.
Bull.. 58 (2007) 479-488
Part 1.
Designation Impact strength [J/m] Tensile strength [MPa] Young’s modulus [GPa] Flexural strength [MPa] Flexural modulus [GPa] Elongation at break [%] PET 36.0 ±2 51.2 ±2 1.6 ±1 75.4 ±1 2.3 ±0.5 4.5 ±0.3 PET/PP 70/30 30.1 ±3 31.2 ±3 1.4 ±1 44.0 ±2 2.2 ±1 3.3 ±0.2 PET/PP/SEBS-g-MA70/30/5 68.9 ±1 36.7 ±0.5 1.7 ±0.5 43.5 ±1 1. 7 ±1 3.6 ±0.5 PET/PP/SEBS-g-MA70/30/10 94.4 ±2 28.9±1 1.4 ±1 26.2 ±2 1.0 ±1 4.0 ±1 PET/PP/SEBS-g-MA70/30/15 79.1 ±3 17.0 ±1 1.1 ±1 17.2 ±2 0.9 ±0.5 25 ±3 Conclusion PET/PP (70/30) blends were prepared using melt blending technique with 5 – 15 phr compatibilizer content.
References [1] C.W.L.
Bull.. 58 (2007) 479-488
Part 1.
Online since: August 2013
Authors: Rong Chen, Jun Jie Xu, Zhi Chun Jia
Figure 1.
(1) C.
Accuracies for top-1 to top-5 suspicious activities as the diagnostic results.
References [1] Y.
Petrone, et al., "Enhancing Web Service Composition by Means of Diagnosis," Business Process Management Workshops, vol. 17, pp. 468-479, 2008
(1) C.
Accuracies for top-1 to top-5 suspicious activities as the diagnostic results.
References [1] Y.
Petrone, et al., "Enhancing Web Service Composition by Means of Diagnosis," Business Process Management Workshops, vol. 17, pp. 468-479, 2008
Online since: May 2012
Authors: Xiao Yu Song, Huai You Li, Wen Juan Shi
The objective function. （1） Industrial Water Efficiency
Constraints. （1）The total amount of water constraint.
References [1] WANG Hao, WANG Jian-hua, QIN Da-yong.
Advances in Water Science，2010，21( 1) : 1-8 (in Chinese)
Advances in Water Science, 2010, 21(4) : 479-489 (in Chinese).
Constraints. （1）The total amount of water constraint.
References [1] WANG Hao, WANG Jian-hua, QIN Da-yong.
Advances in Water Science，2010，21( 1) : 1-8 (in Chinese)
Advances in Water Science, 2010, 21(4) : 479-489 (in Chinese).
Online since: October 2012
Authors: Zhi Zhang, Jian Ren Zhang, Ke Bo Zhang, Bin Liu
Table 1 Parameters for tested beams.
Beam Test results P/kN Theoretical results P/kN error 0-1# 360 370 2.78% 0-2# 370 363 1.89% Shear capacity calculation for corroded reinforcement concrete beam 1．Development for shear capacity calculation.
Conclusions 1.
References [1] Higgins C and Farrow W C：ACI Structural Journal, 2006, 103(1):133-141
[9] Jian-jiang Yang,Gu-yi Kang：Journal of Tianjin University, 1997，30(4)：473-479.
Beam Test results P/kN Theoretical results P/kN error 0-1# 360 370 2.78% 0-2# 370 363 1.89% Shear capacity calculation for corroded reinforcement concrete beam 1．Development for shear capacity calculation.
Conclusions 1.
References [1] Higgins C and Farrow W C：ACI Structural Journal, 2006, 103(1):133-141
[9] Jian-jiang Yang,Gu-yi Kang：Journal of Tianjin University, 1997，30(4)：473-479.
Online since: July 2020
Authors: Guang Li, Dong Sun
If add value such as water-resistant and anti-friction was provided PA6 fiber, it would become more competitive in market [1-4].
References [1] D.R.
Li, Development status of polyester, nylon and polypropylene industrial yarn markets at home and abroad (1) [J].
Technical Textiles, 2007 (08): 1-6 + 14
Silicone Materials, 2014, 28 (06): 479-483.
References [1] D.R.
Li, Development status of polyester, nylon and polypropylene industrial yarn markets at home and abroad (1) [J].
Technical Textiles, 2007 (08): 1-6 + 14
Silicone Materials, 2014, 28 (06): 479-483.
Online since: August 2007
Authors: Tohru Suzuki, Yoshio Sakka, Tetsuo Uchikoshi
Suzuki
2
and Tetsuo Uchikoshi
National Institute for Materials Science, 1-2-1, Sengen, Tsukuba, Ibaraki 305-0047, Japan
1
e-mail: SAKKA.Yoshio@nims.go.jp, 2e-mail: SUZUKI.Tohru@nims.go.jp,
Keywords: Textured ceramics, Alumina, Slip casting, Magnetic field, EPD.
The magnetic torque T attributed to the interaction between the anisotropic susceptibility and a magnetic field is estimated by Eq. (1).
Left-hand side is 1 wt% zirconia dispersed alumina and right-hand side is 14.4 wt% zirconia dispersed one.
References [1] E.
Soc., Vol.78 (1995), pp.479
The magnetic torque T attributed to the interaction between the anisotropic susceptibility and a magnetic field is estimated by Eq. (1).
Left-hand side is 1 wt% zirconia dispersed alumina and right-hand side is 14.4 wt% zirconia dispersed one.
References [1] E.
Soc., Vol.78 (1995), pp.479