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Online since: April 2007
Authors: Lan Luo, Wei Chen, Zhi Yong Yang
Results and Discussion
Fig. 1 is the emission spectra of glasses doped with the active ions.
Table 1 shows fluorescence lifetimes of the active ions doped Ge25Ga5Sb5Se65 glasses.
The immediate stage where the donor-donor interaction becomes important, the decay follows an exponential behavior at a rate determined by the following equation: 1/τm = 1/τ0 + VCDyCTm (1) Where τm is measured lifetime, τ0 is the lifetime of Tm3+ single-doped sample, V is a constant related to transfer constants, CDy and CTm represent Dy 3+ and Tm3+ concentrations, respectively.
Table 1 Fluorescence lifetimes of active ions doped Ge25Ga5Sb5Se65 glasses Dopant Wavelength (µm) Lifetime (µs) 0.05at% Dy 3+ 1.34 310 0.05at% Tm3+ 1.22 676 0.05at% Dy 3++0.05at% Tm3+ 1.34 /1.22 344 / 479 0.05at% Dy 3++0.1at% Tm3+ 1.34 370 0.05at% Dy 3++0.15at% Tm3+ 1.34 429 0.05at% Dy 3++0.2at% Tm3+ 1.34 471 Fig.5 Fluorescence decay curve of the Tm3+: 3H5→ 3H6 transition for 0.05 at% Dy 3+ and 0.05 at% Tm3+ co-doped glass.
References [1] K.
Table 1 shows fluorescence lifetimes of the active ions doped Ge25Ga5Sb5Se65 glasses.
The immediate stage where the donor-donor interaction becomes important, the decay follows an exponential behavior at a rate determined by the following equation: 1/τm = 1/τ0 + VCDyCTm (1) Where τm is measured lifetime, τ0 is the lifetime of Tm3+ single-doped sample, V is a constant related to transfer constants, CDy and CTm represent Dy 3+ and Tm3+ concentrations, respectively.
Table 1 Fluorescence lifetimes of active ions doped Ge25Ga5Sb5Se65 glasses Dopant Wavelength (µm) Lifetime (µs) 0.05at% Dy 3+ 1.34 310 0.05at% Tm3+ 1.22 676 0.05at% Dy 3++0.05at% Tm3+ 1.34 /1.22 344 / 479 0.05at% Dy 3++0.1at% Tm3+ 1.34 370 0.05at% Dy 3++0.15at% Tm3+ 1.34 429 0.05at% Dy 3++0.2at% Tm3+ 1.34 471 Fig.5 Fluorescence decay curve of the Tm3+: 3H5→ 3H6 transition for 0.05 at% Dy 3+ and 0.05 at% Tm3+ co-doped glass.
References [1] K.
Online since: March 2012
Authors: Bao Li Zhu, Hui Pen Wu, Tian Hang Xiao
The results are presented by overset grids (Ref. [10]) and by Fluent6.1 (Ref. [11]).
(a) present work (b) by overset grids,Ref[9] (c) by Fluent6.1,Ref[10].)
The results of time-average thrust coefficient, input power coefficient and thrust propulsive efficiency are listed in Table 1.
References [1] Lai J C S, Platzer M F.
Flugwiss, 13: 472-479(1965)
(a) present work (b) by overset grids,Ref[9] (c) by Fluent6.1,Ref[10].)
The results of time-average thrust coefficient, input power coefficient and thrust propulsive efficiency are listed in Table 1.
References [1] Lai J C S, Platzer M F.
Flugwiss, 13: 472-479(1965)
Online since: September 2013
Authors: Guo Liang Chen, Xiao Yang Chen
Research on Commercial Vehicle Clutch Release Bearing Fatigue Life Prediction Model
Guoliang Chen 1, a, Xiaoyang Chen 1,b
1School of mechatronics engineering and automation, Shanghai university,Shanghai,200444,China
aGuoliang.chen @zf.com, bxychen@shu.edu.cn
Key words: Fatigue life, Prediction model, Clutch, release bearing, Commercial vehicle;
Abstract.
Two models for predicting the values in Table 1 :two models: prediction value and error.
References [1]Brian L.
Determination of rolling-element fatigue life from computer generated bearing tests[J].Tribology transactions,2003,4:479-493 [2] Erwin V.
Ser. 1 ,R.
Two models for predicting the values in Table 1 :two models: prediction value and error.
References [1]Brian L.
Determination of rolling-element fatigue life from computer generated bearing tests[J].Tribology transactions,2003,4:479-493 [2] Erwin V.
Ser. 1 ,R.
Online since: November 2015
Authors: Gheorghe Mogan, Teodora Gîrbacia, Andrei Margarit, Simion Mădălin
The lengths and angles of the entering and exiting clothoid arcs are the same, as can be observed in Fig. 1.
The acceleration of this particular model has a very high value and after only 1 second of full reverse the car already passed 5 meters.
References [1] J.
Kang, Path planning for robot using Population-Based Incremental Learning, Cyber Technology in Automation, Control, and Intelligent Systems (2014) 474-479
Kim, ROBIL: Robot Path Planning Based on a PBIL Algorithm, International Journal of Advanced Robotic Systems 11 (2014) 1-14
The acceleration of this particular model has a very high value and after only 1 second of full reverse the car already passed 5 meters.
References [1] J.
Kang, Path planning for robot using Population-Based Incremental Learning, Cyber Technology in Automation, Control, and Intelligent Systems (2014) 474-479
Kim, ROBIL: Robot Path Planning Based on a PBIL Algorithm, International Journal of Advanced Robotic Systems 11 (2014) 1-14
Online since: December 2012
Authors: Kamarudin Hussin, Mohammed Binhussain, Mohd Mustafa Al Bakri Abdullah, Che Mohd Ruzaidi Ghazali, Ahmad Mohd Izzat, M.T. Muhammad Faheem
Table 1 below shows the chemical composition of Niemenike Clay which M.
Table 1: Chemical composition:Neimenike Clay [19], Malaysia Kaolin [27].
[25] European Standard EN 771-1:2003/A1:2005.
Part 1: Clay masonry units
Adv Mater Res 2012;479–481:286–91.
Table 1: Chemical composition:Neimenike Clay [19], Malaysia Kaolin [27].
[25] European Standard EN 771-1:2003/A1:2005.
Part 1: Clay masonry units
Adv Mater Res 2012;479–481:286–91.
Online since: March 2016
Authors: Sheng Kai Gong, Shu Suo Li, Jie Xiao, Xin Zhou, Yan Ling Pei
The morphology of γ' phases was cubical and well coherent with the γ-matrix without any precipitation, as shown in Fig.1.
Fig. 1 The microstructure of the alloy after standard heat treatment Fig.2 shows the morphological evolution of γ' particles when aging at 1050℃ for different times.
Table 1 lists the effect of aging time on particle size a and the average radius r (r=a/2) of γ' phase.
The volume fraction of TCP phases decreased obviously when aged at 1150℃ compared to that for 1050℃, References [1] R.C.
Materials Science and Engineering A 479 (2008) 148-156 [16] M.
Fig. 1 The microstructure of the alloy after standard heat treatment Fig.2 shows the morphological evolution of γ' particles when aging at 1050℃ for different times.
Table 1 lists the effect of aging time on particle size a and the average radius r (r=a/2) of γ' phase.
The volume fraction of TCP phases decreased obviously when aged at 1150℃ compared to that for 1050℃, References [1] R.C.
Materials Science and Engineering A 479 (2008) 148-156 [16] M.
Online since: September 2013
Authors: Bo Chi, Zeng Min Shi, Ji Bin Liu, Kai Liu, Li Jian
Experimental
The chemical composition of the WHT1300HF steel is listed in Table 1.
Fig. 1.
To depress carbide formation and ensure austenite stabilization, the minimum content of Si in steels is required to be above 1 Wt%, as reported in Ref. [13-15].
References [1] Hongzhong Lu, Mingtu Ma, Jianghai You, Zzhigang Li, World Nonferrous Metals. 5 (2008) 66-70
A. 273 (1999) 475-479
Fig. 1.
To depress carbide formation and ensure austenite stabilization, the minimum content of Si in steels is required to be above 1 Wt%, as reported in Ref. [13-15].
References [1] Hongzhong Lu, Mingtu Ma, Jianghai You, Zzhigang Li, World Nonferrous Metals. 5 (2008) 66-70
A. 273 (1999) 475-479
Online since: November 2023
Authors: Antti Kaijalainen, Oskari Haiko, Terho Iso-Junno, Matias Jaskari, Jukka I. Kömi
The possibility to use ultra-fast heating processes in for heat-treatment of steels has been discussed lately [1,2].
The chemical composition given as nominal maximum content (in wt.%) was 0.27C–0.50Si–1.60Mn–1.20Cr–0.25Ni–0.25Mo–0.005B, balance Fe.
Table 1.
Material YS [MPa] UTS [MPa] At [%] HV10 Ref. 1471 ± 31 1573 ± 54 12.8 ± 1.3 479 ± 1 IT-200 1458 ± 62 1582 ± 89 13.1 ± 0.5 499 ± 11 IT-300 1350 ± 12 1428 ± 14 13.2 ± 0.6 431 ± 12 IT-400 1161 ± 22 1201 ± 22 14.8 ± 0.6 354 ± 20 IT-500 948 ± 7 996 ± 7 17.0 ± 0.2 306 ± 5 CT-200 1469 ± 31 1563 ± 31 10.6 ± 1.0 486 ± 5 CT-300 1364 ± 7 1448 ± 5 10.8 ± 0.9 439 ± 2 CT-400 1203 ± 7 1254 ± 7 12.5 ± 0.5 381 ± 1 CT-500 926 ± 6 972 ± 6 14.9 ± 0.6 301 ± 3 Fig. 2.
References [1] D.K.
The chemical composition given as nominal maximum content (in wt.%) was 0.27C–0.50Si–1.60Mn–1.20Cr–0.25Ni–0.25Mo–0.005B, balance Fe.
Table 1.
Material YS [MPa] UTS [MPa] At [%] HV10 Ref. 1471 ± 31 1573 ± 54 12.8 ± 1.3 479 ± 1 IT-200 1458 ± 62 1582 ± 89 13.1 ± 0.5 499 ± 11 IT-300 1350 ± 12 1428 ± 14 13.2 ± 0.6 431 ± 12 IT-400 1161 ± 22 1201 ± 22 14.8 ± 0.6 354 ± 20 IT-500 948 ± 7 996 ± 7 17.0 ± 0.2 306 ± 5 CT-200 1469 ± 31 1563 ± 31 10.6 ± 1.0 486 ± 5 CT-300 1364 ± 7 1448 ± 5 10.8 ± 0.9 439 ± 2 CT-400 1203 ± 7 1254 ± 7 12.5 ± 0.5 381 ± 1 CT-500 926 ± 6 972 ± 6 14.9 ± 0.6 301 ± 3 Fig. 2.
References [1] D.K.
Online since: October 2015
Authors: Nina S. Ereminа, Nina M. Kozhevnikova, Gennady M. Mokrousov, Seseg Tsyretarova
Then the powder was grounded and completely blended in an agate mortar for 1 h, the obtained mixture was put into a ceramic crucible.
Fig. 1.
It indicates that Eu3+ occupies at a site of non-inversion symmetry [1].
References [1] Y.
Alloys Compd. 479 (2009) 607-612
Fig. 1.
It indicates that Eu3+ occupies at a site of non-inversion symmetry [1].
References [1] Y.
Alloys Compd. 479 (2009) 607-612
Online since: June 2023
Authors: Andi Erwin E. Putra, Azwar Hayat, Novriany Amaliyah, Ismail Rahim, Asriadi Sakka
Fig. 1.
Schematic illustration of TiO2 coating by plasma Table 1.
References [1] S.
Arachchige, Sol-Gel Methods for the Assembly of Metal and Semiconductor Nanoparticles, JSM Nanotechnology and Nanomedicine. 1 (2013) 1–6
Tsuru, Atmospheric-pressure plasma-enhanced chemical vapor deposition of UV-shielding TiO2 coatings on transparent plastics, Materials Letters. 228 (2018) 479–481
Schematic illustration of TiO2 coating by plasma Table 1.
References [1] S.
Arachchige, Sol-Gel Methods for the Assembly of Metal and Semiconductor Nanoparticles, JSM Nanotechnology and Nanomedicine. 1 (2013) 1–6
Tsuru, Atmospheric-pressure plasma-enhanced chemical vapor deposition of UV-shielding TiO2 coatings on transparent plastics, Materials Letters. 228 (2018) 479–481