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Online since: October 2022
Authors: Xing Ran, Zhi Gang Lv, Pei Jie Li, Zhe Wang, Cheng Cheng Liu
It was found that the fracture toughness of TC18 titanium alloy decreased from 77.8 MPa·m1/2 to 65.4 MPa·m1/2 as the deformation temperature raised from 881℃ to 896℃.
The deformed temperature of forgings in present study was 881℃ and 896℃.
Fig. 3 is the optical morphology, showing the microstructure of TC18 titanium alloy deformed at 881℃ and 896℃.
Conclusions The fracture toughness tests of TC18 titanium alloy forgings deformed at 881℃ and 896℃ have been carried out. 1.
The fracture toughness of TC18 titanium alloy decreased from 77.8 MPa·m1/2 to 65.4 MPa·m1/2 when the deformation temperature increased from 881℃ to 896℃. 3.
The deformed temperature of forgings in present study was 881℃ and 896℃.
Fig. 3 is the optical morphology, showing the microstructure of TC18 titanium alloy deformed at 881℃ and 896℃.
Conclusions The fracture toughness tests of TC18 titanium alloy forgings deformed at 881℃ and 896℃ have been carried out. 1.
The fracture toughness of TC18 titanium alloy decreased from 77.8 MPa·m1/2 to 65.4 MPa·m1/2 when the deformation temperature increased from 881℃ to 896℃. 3.
Online since: December 2016
Authors: Ivo Kusák, Miroslav Lunak, Pavel Rovnaník, Maria Mikova
In a frequency range of 40 Hz to 1 MHz values of electrical resistance and permittivity values of the beams with different content of graphite powder, labeled Cond 896 were determined.
As filler both test norm-sand PG1-3, graphite powder COND 896, non-ionic detergent Triton X-100 and defoamer Lukosan S were used.
As filler both test norm-sand PG1-3, graphite powder COND 896, non-ionic detergent Triton X-100 and defoamer Lukosan S were used.
Online since: January 2016
Authors: Jakrapong Kaewkhao, Natthakridta Chanthima
On excitation, with 584 and 805 nm, it is found that the emission peaks are located at 896 (904), 1060 and 1332 nm that correspond to the emission transitions from 4F3/2 to 4I9/2, 4I11/2 and 4I13/2, respectively.
The results show that, the emission spectra have exhibited three emission transitions, which are assigned to 4F7/2 → 4I9/2 (896, 904 nm), 4F7/2 → 4I11/2 (1060 nm) and 4F7/2 → 4I13/2 (1332 nm) transitions.
The results show that, the emission spectra have exhibited three emission transitions, which are assigned to 4F7/2 → 4I9/2 (896, 904 nm), 4F7/2 → 4I11/2 (1060 nm) and 4F7/2 → 4I13/2 (1332 nm) transitions.
Online since: September 2008
Authors: Gwiy Sang Chung, Jun Ho Jeong
The biaxial stress of poly 3C-SiC/AlN was calculated as 896 MPa from the
Raman shifts of 3C-SiC deposited at 1180 °C on AlN of after annealing.
When these values were inserted into Eq. (3) mentioned in the Ref. [13], the biaxial stresses of 3C-SiC/AlN and /SiO2 were obtained as σbi ≈ 896 MPa and 428 MPa respectively.
When these values were inserted into Eq. (3) mentioned in the Ref. [13], the biaxial stresses of 3C-SiC/AlN and /SiO2 were obtained as σbi ≈ 896 MPa and 428 MPa respectively.
Online since: August 2022
Authors: Jin Jun Tang, Cui Liang, Chen Guang Xu, Ji Qiang Li
The peak stresses corresponding to 25℃, 250℃, 350℃ and 500℃ are 1230 MPa, 896 MPa, 723 MPa and 471 MPa respectively.
The peak stress corresponding to 25℃, 250℃, 350℃ and 500℃ increased to 1230 MPa, 896 MPa, 723 MPa and 471 MPa respectively.
The peak stress corresponding to 25℃, 250℃, 350℃ and 500℃ increased to 1230 MPa, 896 MPa, 723 MPa and 471 MPa respectively.
Online since: August 2011
Authors: Hong Lei Wu, Rui Sheng Zheng, Wei Zheng, Zheng Yan
Hall-effect measurement shows that the AlN crystals have a high hole density of 1.4×1014 cm-3 and mobility of 52 cm2V-1s-1 in spite of the high resistivity (896 Ω•cm).
The hole density is 1.4×1014 cm-3 and the mobility is 52 cm2V-1s-1 in spit of the high resistivity (896 Ω•cm).
The hole density is 1.4×1014 cm-3 and the mobility is 52 cm2V-1s-1 in spit of the high resistivity (896 Ω•cm).
Online since: April 2008
Authors: Aurelia Meghea, Maria Giurginca, M. Elisa, Ileana Cristina Vasiliu, Cristiana Eugenia Ana Grigorescu, B. Grigoras, H. Niciu, Daniela Niciu, Nicoleta Iftimie, Patrascu Roxana, Joe Trodahl, M. Dalley
The peak ranged at 946 cm
-1 is attributed to PO3 2
symmetrical vibration and that from 896 cm
-1 to P-O-P asymmetrical stretch.
IR optical phonons (cm-1) Phosphate units P2O5 pure glass [6, 7] S1 S2 S3 S4 P-O-H (water absorption) 1380 - - - - P=O stretch 1240-1270 1303 1301 1301 1301 [P2O7] 4 pyrophosphate units 1027; 1179 - - - - PO4 stretch 1030 - - - - PO2 symmetrical stretch 1100-1170 1092 1089 1089 1089 PO43 symmetrical 1015 - - - - P-O-P asymmetrical stretch 840-950 894 896 896 896 P-O-P symmetrical stretch 670-800 740; 790 742; 792 742; 792 742; 792 P-O-P bend 420-620 480 476 476 476 PO2 asymmetrical stretch 1200-1300 1303 1301 1301 1301 PO32 symmetrical 980-1050 950 946 946 946 PO32 asymmetrical 1110-1190 1092 1089 1089 1089 500 1000 1500 2000 2500 3000 3500 4000 0.0 0.5 1.0 1.5 2.0 2.5 3.0 3.5 4.0 4.5 5.0 5.5 6.0 Absorbance (a.u.)
IR optical phonons (cm-1) Phosphate units P2O5 pure glass [6, 7] S1 S2 S3 S4 P-O-H (water absorption) 1380 - - - - P=O stretch 1240-1270 1303 1301 1301 1301 [P2O7] 4 pyrophosphate units 1027; 1179 - - - - PO4 stretch 1030 - - - - PO2 symmetrical stretch 1100-1170 1092 1089 1089 1089 PO43 symmetrical 1015 - - - - P-O-P asymmetrical stretch 840-950 894 896 896 896 P-O-P symmetrical stretch 670-800 740; 790 742; 792 742; 792 742; 792 P-O-P bend 420-620 480 476 476 476 PO2 asymmetrical stretch 1200-1300 1303 1301 1301 1301 PO32 symmetrical 980-1050 950 946 946 946 PO32 asymmetrical 1110-1190 1092 1089 1089 1089 500 1000 1500 2000 2500 3000 3500 4000 0.0 0.5 1.0 1.5 2.0 2.5 3.0 3.5 4.0 4.5 5.0 5.5 6.0 Absorbance (a.u.)
Online since: June 2012
Authors: Su Zhen Cheng, Rong Cong, Ke Liang Wang, Shang Jie Xu
Table 1 Mix design of concrete with different rubber and plastic [Kg · m-3]
Number
Water-Binder ratio
Cement
Sand
Rubber granule
Crushed stone
Bentonite
Clay
Admixtures
1
0.9
100
765
0
765
40
160
3.0
2
0.9
100
730
10
765
40
160
3.3
3
0.9
100
695
20
765
40
160
3.6
4
0.9
100
660
30
765
40
160
4.0
5
0.9
100
625
40
765
40
160
4.5
6
0.9
100
590
50
765
40
160
4.8
7
0.9
100
555
60
765
40
160
5.0
Table 2 Different water-Binder ratio mix design of concrete with different amount of plastic[Kg · m-3]
Number
Cement
Water-Binder ratio
Rubber granule
Sand
Crushed stone
Bentonite
Clay
Admixtures
8
100
0.9
0
765
765
40
160
3.0
9
100
0.8
0
763
827
40
160
3.6
10
100
0.7
0
794
896
40
160
4.8
11
100
0.6
0
837
983
40
160
6.0
12
100
0.9
10
730
765
40
160
3.3
13
100
0.8
10
728
827
40
160
4.2
14
100
0.7
10
759
896
40
160
6.0
15
100
0.6
10
802
983
40
160
6.9
16
100
0.9
20
695
765
40
160
3.6
17
100
0.8
20
693
827
40
160
5.4
18
100
0.7
20
724
896
40
160
6.3
19
100
0.6
20
767
983
40
160
7.8
20
100
0.9
30
660
765
40 160 4.0 21 100 0.8 30 658 827 40 160 6.0 22 100 0.7 30 689 896 40 160 8.1 23 100 0.6 30 732 983 40 160 9.0 Test content and method.
40 160 4.0 21 100 0.8 30 658 827 40 160 6.0 22 100 0.7 30 689 896 40 160 8.1 23 100 0.6 30 732 983 40 160 9.0 Test content and method.
Online since: September 2013
Authors: Wen Yang, Tong Liu, Xiao Qin Liu, Xiao Deng, Bao Jun Cheng
Table 4 Design of wollastonite micro fiber reinforced mortar mix(/g)
Type of specimen
Cement
Fly ash
Silica fume
Wollastonite micro fiber
Water
Water reducing agent
Quartz sand
A1
896
256
128
0
256
9.4
384
A2
851.2
243.2
121.6
64
256
10
384
A3
806.4
230.4
115.2
128
256
10.8
384
A4
761.6
217.6
115.2
192
256
11.6
384
A5
716.8
204.8
102.4
256
256
12.9
384
A6
672
192
96
320
256
14.5
384
A7
627.2
179.2
89.6
384
256
15.1
384
Table5 Design of ARGF reinforced mortar mix(/g)
Type of specimen
Cement
Fly ash
Silica fume
Quartz sand
Water
Water Reducing Agent
ARGF
B1
896
256
128
384
256
9.4
0
B2
896
256
128
384
256
11.9
11.4
B3
896
256
128
384
256
14.0
22.8
B4
896
256
128
384
256
15.3
34.2
B5
896
256
128
384
256
16.8
45.6
2.2 Test method
Firstly, cementitious material, fiber, water and quartz sand, were accurately weighed in accordance with table 1-4 and table 1-5, and mixed well.
Online since: November 2012
Authors: Zhi Yong Wang, Yi Geng Li
Table1 1 Comparison of performance to set rolling force [×104N]
Group number
measured rolling force
Mathematical model
Neural network model
Fuzzy model
calculation
error %
calculation
error %
calculation
error %
1
691
713
3.2
739
6.7
725
4.9
2
802
846
5.5
896
11.7
827
3.1
3
1025
926
-9.6
940
-8.3
1110
8.3
4
858
957
11.6
902
5.1.
842
-1.9
5
818
916
12.1
896
9.5
855
4.6
6
896
821
-8.4
958
6.9
861
-3.9
7
698
804
15.2
749
7.3
728
4.3
8
1029
1144
11.2
904
-12.2
1068
3.8
9
1067
953
-10.8
1117
4.7
1006
-5.7
10
998
1052
9.8
1107
7.4
1044
4.7
Summary
The mathematical rolling force prediction model has limited precision, intelligence technology must be adopted in practical control systems to improve forecast accuracy.