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Online since: June 2017
Authors: Ji Hun Park
Fig. 1 An Overview of Our Algorithm.
Table 1.
References [1] R.
Vis. 32(1) (1999) 7-25
Mater. 479-480 (2013) 170-173
Table 1.
References [1] R.
Vis. 32(1) (1999) 7-25
Mater. 479-480 (2013) 170-173
Online since: May 2022
Authors: Enggal Nurisman, Mohammad Ikhwan Alkahfi, Yessi Astri Razikah, Rahmatullah Rahmatullah, Nina Haryani, Rosmania Rosmania
Table 1.
Its morphology can be seen in Fig. 1.
Fig. 1.
References [1] A.
Earth 36 (2011) 479–489
Its morphology can be seen in Fig. 1.
Fig. 1.
References [1] A.
Earth 36 (2011) 479–489
Online since: July 2020
Authors: Israa Saleh Hussein, Lamyaa Najah Snodi
Table 1.
Soaking Gypseous soil for 1 day Figure 7.
References [1] Z.
Al- Mosawi, Challenging problems of gypseous soils in Iraq, Proceedings of the 18th International Conference on Soil Mechanics and Geotechnical Engineering, Paris, (2013) 479-482
DOI:10.13140/RG.2.1.1475.2486
Soaking Gypseous soil for 1 day Figure 7.
References [1] Z.
Al- Mosawi, Challenging problems of gypseous soils in Iraq, Proceedings of the 18th International Conference on Soil Mechanics and Geotechnical Engineering, Paris, (2013) 479-482
DOI:10.13140/RG.2.1.1475.2486
Online since: March 2013
Authors: Rupinder Singh, Jatinder Kumar
INVESTIGATING THE EFFECT OF VULCANIZATION IN TREAD RUBBER APPLICATIONS
Jatinder Kumar1,a and Rupinder Singh 2,b
1.
Table 1 Chemical composition of tread rubber as per ISO/TR 24699:2009 S.
No Rubber Ratio (NR-SR) Temperature (0C) Time (mins) Elongation at break E1 E2 E3 1 NR40%-SR60% 115 13 450 448 447 2 NR40%-SR60% 120 18 430 429 429.5 3 NR40%-SR60% 125 23 430 429.5 428 4 NR70%-SR30% 115 18 440 439 437 5 NR70%-SR30% 120 23 460 457 456 6 NR70%-SR30% 125 13 440 439.8 439.6 7 NR100%-SR0% 115 23 480 479.8 479.6 8 NR100%-SR0% 120 13 480 479 477 9 NR100%-SR0% 125 18 470 465 469 Table 5 Observation of final experimentation for hardness (Shore A) S.
Tables 9-11 and Figures 1-3 show percentage contribution of input parameters for tensile strength, elongation and hardness.
References [1] A.P.
Table 1 Chemical composition of tread rubber as per ISO/TR 24699:2009 S.
No Rubber Ratio (NR-SR) Temperature (0C) Time (mins) Elongation at break E1 E2 E3 1 NR40%-SR60% 115 13 450 448 447 2 NR40%-SR60% 120 18 430 429 429.5 3 NR40%-SR60% 125 23 430 429.5 428 4 NR70%-SR30% 115 18 440 439 437 5 NR70%-SR30% 120 23 460 457 456 6 NR70%-SR30% 125 13 440 439.8 439.6 7 NR100%-SR0% 115 23 480 479.8 479.6 8 NR100%-SR0% 120 13 480 479 477 9 NR100%-SR0% 125 18 470 465 469 Table 5 Observation of final experimentation for hardness (Shore A) S.
Tables 9-11 and Figures 1-3 show percentage contribution of input parameters for tensile strength, elongation and hardness.
References [1] A.P.
Online since: December 2010
Authors: Mehdi Eizadjou, Armin Kazemi Talachi, Habib Danesh Manesh, Kamal Janghorban
Specifications of the Al strips are given in Table 1.
For 1, 3 and 5 ARB cycles von misses effective strains of 0.8, 2.4 and 4.0 were induced, respectively.
(a) (b) (c) RD ND 20μm Fig. 1.
References [1] R.
Forum Vol. 475-479 (2005) p. 401
For 1, 3 and 5 ARB cycles von misses effective strains of 0.8, 2.4 and 4.0 were induced, respectively.
(a) (b) (c) RD ND 20μm Fig. 1.
References [1] R.
Forum Vol. 475-479 (2005) p. 401
Online since: November 2007
Authors: Chuan Zhen Huang, Han Lian Liu, Xin Ying Teng, Hui Wang
As the Herring Rule [5] indicated, when the different original powders were sintered
to the same density, the relation between different required time t1, t2 and their corresponding
original grain size r1, r2 can be expressed with Eq. (1):
4~3,
2
1
2
1 =
=
n r
r
t
t
n
(1)
However, nano-scale powder is prone to agglomerate with larger size due to it's special
characters such as the high specific surface area, and too small size may result in a low density of
the powder accumulation, so it is unnecessary to absolutely choose the single fine powders.
Niihara [10] divided the microstructure of nanocomposite into four types such as intragranular, intergranular, intra/intergranular and nano/nano types as shown in Fig. 1.
From the comparison in table 1, particle dispersion can be widely applied because of the least limit of application.
References [1] X.
Reed: Journal of the European Ceramic Society, Vol.15 (1995) No.5, pp.479
Niihara [10] divided the microstructure of nanocomposite into four types such as intragranular, intergranular, intra/intergranular and nano/nano types as shown in Fig. 1.
From the comparison in table 1, particle dispersion can be widely applied because of the least limit of application.
References [1] X.
Reed: Journal of the European Ceramic Society, Vol.15 (1995) No.5, pp.479
Online since: September 2007
Authors: Zhu Ji Jin, Xing Wei Ma, Ze Wei Yuan
Fig.1 SEM micrograph of the CVD diamond film with rough surface
Now the CVD diamond films have been used in many high-tech fields, as summarized in Table 1.
It was found that the removal rate of the film was up to 1 µm/min, and the roughness decreased to 6 nm (Fig. 3).
(1) Very small contact point between the diamond film and the rotating wheel is needed to heat the temperature exceeding 1300K
References: [1] E.
A (2000) 358, 473 [9] Alix Gicquel, Khaled Hassouni, François Silva and Jocelyn Achard, CVD diamond films: from growth to applications .Current Applied Physics 1(2001) 479 [10] A.P.
It was found that the removal rate of the film was up to 1 µm/min, and the roughness decreased to 6 nm (Fig. 3).
(1) Very small contact point between the diamond film and the rotating wheel is needed to heat the temperature exceeding 1300K
References: [1] E.
A (2000) 358, 473 [9] Alix Gicquel, Khaled Hassouni, François Silva and Jocelyn Achard, CVD diamond films: from growth to applications .Current Applied Physics 1(2001) 479 [10] A.P.
Online since: March 2014
Authors: Kris J. Dick, Jeremy Pinkos
All of the structures are square and have the same footprint of 23.8 m2 (256 ft2).
2.1.1.
Figure 1 illustrates the construction of the buildings using a base of wood-frame.
Fig.1: Cross Section Through Test Building Typical – Framed Wall 2.1.2 Hempcrete Building The walls of the hempcrete building were constructed using a panel system.
References [1] Province of Manitoba. 2007.
Biosystems Engineering 103: 474-479
Figure 1 illustrates the construction of the buildings using a base of wood-frame.
Fig.1: Cross Section Through Test Building Typical – Framed Wall 2.1.2 Hempcrete Building The walls of the hempcrete building were constructed using a panel system.
References [1] Province of Manitoba. 2007.
Biosystems Engineering 103: 474-479
Online since: May 2020
Authors: Pavel Kratochvil, Petr Gross, Jan Kledrowetz, Soňa Rusnáková, Rohitha Keerthiwansa, Jakub Javořík
Marc has an implicit solver that is suitable mainly for static or steady state analyses [1].
This property is determined from experiments. [1] G depends on the geometry of the structure and the current loading.
When the studied tyre was inflated to its nominal pressure 1000 kPa, the belt grew by 1 mm on tyre radius.
References [1] Information on https://simcompanion.mscsoftware.com/infocenter/index?
Pages 479-483, ISSN 1213-2489
This property is determined from experiments. [1] G depends on the geometry of the structure and the current loading.
When the studied tyre was inflated to its nominal pressure 1000 kPa, the belt grew by 1 mm on tyre radius.
References [1] Information on https://simcompanion.mscsoftware.com/infocenter/index?
Pages 479-483, ISSN 1213-2489
Online since: December 2012
Authors: Lin Bo Zhang, Ji Ping Zhang, Bin Gong
Sample survey has become a scientific method and an important means to access information[1-3].
According to the prior knowledge and experiences, variance root of the sampling population is 1.5×10-4km2, absolute error is 20 km2, significance level is 0.05, and the initial iteration is assumed as 1.
Spatial Simple Random Sampling According to the setting coefficient, the following results could be obtained: (1) The absolute error of average pixel for forest cover area is 4.23×10-5 km2
(2)The means of the layers are 105m2, 230 m2, 342 m2, 479 m2, 749 m2, 822 m2 and 854 m2 respectively
References [1] D.
According to the prior knowledge and experiences, variance root of the sampling population is 1.5×10-4km2, absolute error is 20 km2, significance level is 0.05, and the initial iteration is assumed as 1.
Spatial Simple Random Sampling According to the setting coefficient, the following results could be obtained: (1) The absolute error of average pixel for forest cover area is 4.23×10-5 km2
(2)The means of the layers are 105m2, 230 m2, 342 m2, 479 m2, 749 m2, 822 m2 and 854 m2 respectively
References [1] D.