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Online since: October 2015
Authors: Ivana Schwarzova, Nadežda Števulová, Julia Cigasova
Fig. 1.
Table 1.
References [1] O.
Cleaner Pro. 34 (2012) 1-8
Nilssona, Mechanical properties of lime–hemp concrete containing shives and fibres, Biosystems Engineering, 103 (2009) 474-479
Table 1.
References [1] O.
Cleaner Pro. 34 (2012) 1-8
Nilssona, Mechanical properties of lime–hemp concrete containing shives and fibres, Biosystems Engineering, 103 (2009) 474-479
Online since: April 2013
Authors: Michael Eisterer, Artem Kozyrev, Myroslav Karpets, Tatiana Basyuk, Valeriy Kovylaev, Anton Shaternik, Vladimir Sverdun, Xavier Chaud, Viktor Moshchil, Tobias Habisreuther, Wolfgang Gawalek, Tatiana Prikhna, Harald W. Weber
The observed changes were attributed to Mg-B-O oxygen-enriched regions
Fig. 1.
Table 1.
References [1] C.
Tomsic, The effect of high-pressure synthesis on flux pinning in MgB2-based superconductors, Physica C: Superconductivity 479 (2012) 111–114
Magn. 26 1 (2013) (ISSN 1557-1939) DOI 10.1007/s10948-012-2001-7.
Table 1.
References [1] C.
Tomsic, The effect of high-pressure synthesis on flux pinning in MgB2-based superconductors, Physica C: Superconductivity 479 (2012) 111–114
Magn. 26 1 (2013) (ISSN 1557-1939) DOI 10.1007/s10948-012-2001-7.
Online since: February 2007
Authors: P. Bollók, M. Kozma
Kozma
2
1, 2
Budapest University of Technology and Economics, Department of Machine Design
1
bollok.peter@gszi.bme.hu, 2 kozma.mihaly@gszi.bme.hu
H-1111 Budapest, Mőegyetem rkp. 3., Hungary
Keywords: pin-on-disk machine, sliding friction, tribologically transformed layers, second phase,
plastic-deformation, work-hardening
Abstract.
It seems from the data in Figure 1 and 2, that the sliding speed has an effect on the width and depth of wear-tracks too, depending on the load and the material.
Depth of wear tracks (mild steel disks, without lubrication) 2,1 3,7 6,4 2,9 4,2 6,3 12,6 17,7 62,1 76,7 62,4 72,8 169,1 236,1 376,1 0 100 200 300 400 500 2562 1002562 1002562 1002562 1002562 100Speed [mm/s] Depth of wear track [µµµµm] 10N 300N 100N 50N 20N Load Depth of wear tracks (mild steel disks, lubricated) 8,78,8 8,4 36,8 41,7 38,5 0 5 10 15 20 25 30 35 40 45 50 25 62 10025 62 1002562 1002562 1002562 100Speed [mm/s] Depth of wear track [µµµµm] 10N 300N 100N 50N 20N Load a, b, Figure 1: The depths of wear tracks Depth of wear tracks (aluminum, without lubrication) 104,2 102,2 114,0 171,3 243,5 167,4 434,3 479,2 446,0 689,5 752,1 478,4 863,7 853,1 739,4 0 200 400 600 800 1000 25 62 100 25 62 100 25 62 100 25 62 100 25 62 100Speed [mm/s] Depth of wear track [µµµµm] 10N 300N 100N 50N 20N Load Depth of wear tracks (aluminum disks, lubricated) 21,4 23,1 22,5 62,6
On every disk we measured the hardness 5 times: 2 times on the original surface and 3 times in outermost wear marks (where the sliding speed was 0,1 m/s).
References [1] G.
It seems from the data in Figure 1 and 2, that the sliding speed has an effect on the width and depth of wear-tracks too, depending on the load and the material.
Depth of wear tracks (mild steel disks, without lubrication) 2,1 3,7 6,4 2,9 4,2 6,3 12,6 17,7 62,1 76,7 62,4 72,8 169,1 236,1 376,1 0 100 200 300 400 500 2562 1002562 1002562 1002562 1002562 100Speed [mm/s] Depth of wear track [µµµµm] 10N 300N 100N 50N 20N Load Depth of wear tracks (mild steel disks, lubricated) 8,78,8 8,4 36,8 41,7 38,5 0 5 10 15 20 25 30 35 40 45 50 25 62 10025 62 1002562 1002562 1002562 100Speed [mm/s] Depth of wear track [µµµµm] 10N 300N 100N 50N 20N Load a, b, Figure 1: The depths of wear tracks Depth of wear tracks (aluminum, without lubrication) 104,2 102,2 114,0 171,3 243,5 167,4 434,3 479,2 446,0 689,5 752,1 478,4 863,7 853,1 739,4 0 200 400 600 800 1000 25 62 100 25 62 100 25 62 100 25 62 100 25 62 100Speed [mm/s] Depth of wear track [µµµµm] 10N 300N 100N 50N 20N Load Depth of wear tracks (aluminum disks, lubricated) 21,4 23,1 22,5 62,6
On every disk we measured the hardness 5 times: 2 times on the original surface and 3 times in outermost wear marks (where the sliding speed was 0,1 m/s).
References [1] G.
Online since: January 2017
Authors: Qiang Li, Deng Pan, Xu Yan Liu, Min Yang
Fig. 1 The Schematic illustration of the sol-gel method.
In the Fig. 4(c), the first three absorption peaks at the wave number of 479 cm-1, 615 cm-1 and 829 cm-1 are weak, but they represent the bending vibration of Ni-O bond and W-O bond.
After that there are two sharp absorption peaks, the wave numbers of 1639 cm-1 and 3415 cm-1 are caused by the water molecules in the sample.
References [1] P.
Granqvist: Materials Today: Proceedings, Vol. 3 (2016) No.1, p.2
In the Fig. 4(c), the first three absorption peaks at the wave number of 479 cm-1, 615 cm-1 and 829 cm-1 are weak, but they represent the bending vibration of Ni-O bond and W-O bond.
After that there are two sharp absorption peaks, the wave numbers of 1639 cm-1 and 3415 cm-1 are caused by the water molecules in the sample.
References [1] P.
Granqvist: Materials Today: Proceedings, Vol. 3 (2016) No.1, p.2
Online since: February 2021
Authors: Mohammed O. Dawood, Odai N. Salman, Duha S. Ahmed
Table 1.
References [1] R.
Section a 52,1 (2013) 57-62
Tech. 6,1 (2020) 874-878
Sci. 169-170(2001) 476–479.
References [1] R.
Section a 52,1 (2013) 57-62
Tech. 6,1 (2020) 874-878
Sci. 169-170(2001) 476–479.
Online since: November 2011
Authors: Shu Ping Zheng, Qian Zhang, Rui Ren
As shown in Fig.1, the SEM result indicated the particle size of jarosite residue was about 1–5μm.
In all experiments, the flow rate of mixed gas is 200mL/min and the volume ration of nitrogen to hydrogen is 3:1.
As the solid/liquid ration decreased from 1:6 to 1:10, the metal recovery rate for both nickel and iron increased to near 99.5%.
References [1].
The Metallurgical Society, New York, USA, pp. 479– 492
In all experiments, the flow rate of mixed gas is 200mL/min and the volume ration of nitrogen to hydrogen is 3:1.
As the solid/liquid ration decreased from 1:6 to 1:10, the metal recovery rate for both nickel and iron increased to near 99.5%.
References [1].
The Metallurgical Society, New York, USA, pp. 479– 492
Online since: April 2017
Authors: Shang Lei Yang, Yan Wang, Yi Shuai Jiang, Zhi Hua Yang
Welding Journal, 2003, 82(1): 42-48
JLW, 2008,46:470-479
Materials Characterization, 2007, 58(1):82-86
Journal of Alloys & Compounds, 2008, 458(1):178-183
Materials Science & Engineering A, 2009, 518(1):144-149
JLW, 2008,46:470-479
Materials Characterization, 2007, 58(1):82-86
Journal of Alloys & Compounds, 2008, 458(1):178-183
Materials Science & Engineering A, 2009, 518(1):144-149
Online since: July 2017
Authors: Wei Fang Chen, Rui Jun Liang, Yu Zhi Chen, Ting Feng
Krishnakumar et al. conducted a synchronous optimization of clamping forces and the fixture layout using the genetic algorithm [1].
Multilayer cutting model The research object is the clockwise side milling of thin-walled parts as shown in Fig.1.
The wall thickness varied from 4 mm to 3 mm and the finishing allowance is 1 mm which is divided into 3 cutting layers.
References [1] Krishnakumar Kulankara, Srinath Satyanarayana, Shreyes N.
[6] Lionel Arnaud, Oscar Gonzalo, Sébastien Seguy et al, Simulation of low rigidity parts machining applied to thin-walled structures, International Journal of Advanced Manufacturing Technology, 54 (2011) 479-488
Multilayer cutting model The research object is the clockwise side milling of thin-walled parts as shown in Fig.1.
The wall thickness varied from 4 mm to 3 mm and the finishing allowance is 1 mm which is divided into 3 cutting layers.
References [1] Krishnakumar Kulankara, Srinath Satyanarayana, Shreyes N.
[6] Lionel Arnaud, Oscar Gonzalo, Sébastien Seguy et al, Simulation of low rigidity parts machining applied to thin-walled structures, International Journal of Advanced Manufacturing Technology, 54 (2011) 479-488
Online since: December 2018
Authors: Chris R. Killmore, Elena V. Pereloma, Andrii G. Kostryzhev, Navjeet Singh
Table 1.
References [1] X.
A 499(1-2) (2009) 162-166
B 29(1) (1998) 163-176
Forum 475-479(2005) 65-68.
References [1] X.
A 499(1-2) (2009) 162-166
B 29(1) (1998) 163-176
Forum 475-479(2005) 65-68.
Online since: October 2013
Authors: Rong Zhu, Jing She Li, Shao Chun Chen, Teng Chang Lin, Li Qiu Xue
Table 1 The chemical composition of experimental steels and the chemical composition of corresponding National Standard automatic steel (wt%)
Heat number of experimental steels
Type of steel
Chemical composition
w([C])
w([Si])
w([Mn])
w([P])
w([S])
w([Sn])
w([Pb])
1
Y20Sn
0.21
0.46
0.85
0.048
0.28
0.013
-
2
Y20Sn
0.18
0.40
0.80
0.050
0.26
0.049
-
3
Y20Sn
0.20
0.38
0.79
0.055
0.29
0.088
-
4
Y20
0.21
0.36
0.79
0.056
0.29
-
-
GB/T8731-88
Y15 Pb
0.10~0.18
≦0.15
0.80~1.20
0.05~0.10
0.23~0.33
-
0.15~0.35
GB/T8731-88
Y20
0.17~0.25
0.15~0.35
0.70~1.00
≦0.06
0.08~0.15
-
-
Testing Results of Mechanical Property.
Table 2 Compare of the testing result data of mechanical property of Y20Sn and the standard requirement of Y20 Heat number Steel Type Diameter (mm) Tensile strength (MPa) Extensibility (%) Reduction of area, (%) Hardness (HB) 1 Y20Sn 5.990 483 29.33 55.41 132 2 6.010 479 28.80 58.75 138 3 6.008 432 28.42 58.64 136 GB8731-88 Y20 - 450~600 20 30 ≦175 Testing Results of The Machinability.
Fig. 4 and Fig. 5 show the wear curves of cutting tool for developed steel Y20Sn #1 and compared Y20.
Fig. 2 Cuttings of developed steel Y20Sn #2 Fig. 3 Final appearance of experimental steel Y20Sn( A-#1, B and C-#2, D and E-#3) Fig. 4 Wear curve of cutting tool for developed steel Y20Sn #1 Fig. 5 Wear curves of cutting tool for compared Y20 Fig. 6 T-V curve of Y20Sn #1 and Y20 Analysis of inclusion in developed steel Y20Sn.
References [1] Yufu Yu, Minglv Ye, Zhijian Zheng: Environmental Chemistry (Fudan University Press, Shanghai 1997).
Table 2 Compare of the testing result data of mechanical property of Y20Sn and the standard requirement of Y20 Heat number Steel Type Diameter (mm) Tensile strength (MPa) Extensibility (%) Reduction of area, (%) Hardness (HB) 1 Y20Sn 5.990 483 29.33 55.41 132 2 6.010 479 28.80 58.75 138 3 6.008 432 28.42 58.64 136 GB8731-88 Y20 - 450~600 20 30 ≦175 Testing Results of The Machinability.
Fig. 4 and Fig. 5 show the wear curves of cutting tool for developed steel Y20Sn #1 and compared Y20.
Fig. 2 Cuttings of developed steel Y20Sn #2 Fig. 3 Final appearance of experimental steel Y20Sn( A-#1, B and C-#2, D and E-#3) Fig. 4 Wear curve of cutting tool for developed steel Y20Sn #1 Fig. 5 Wear curves of cutting tool for compared Y20 Fig. 6 T-V curve of Y20Sn #1 and Y20 Analysis of inclusion in developed steel Y20Sn.
References [1] Yufu Yu, Minglv Ye, Zhijian Zheng: Environmental Chemistry (Fudan University Press, Shanghai 1997).