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Online since: February 2018
Authors: R. Shobha, Vinayashree Vinayashree
Shobha2,b
1Assistant Professor, Department of IEM, DSCE, Bangalore, India - 560078
2Assistant Professor, Department of IEM, MSRIT, Bangalore, India-560054
aEmail: vinayashree04@gmail.com, bEmail: shobhamtech@gmail.com
Keywords: metal matrix composite, glass fiber, stir casting, hardness, Rockwell Hardness Number (RHN), Ultimate Tensile Strength (UTS)
Abstract.
Figure 5 depicts that large amount of inter dendritic Al-Mg2Al3 eutectic (gray) in the matrix of aluminum solid solution with grain boundary clearly defined and inter metallic component being visible.
Figure 5 depicts that large amount of inter dendritic Al-Mg2Al3 eutectic (gray) in the matrix of aluminum solid solution with grain boundary clearly defined and inter metallic component being visible.
Online since: November 2007
Authors: W. Han, Ming Xia Lu, H. Wang, G. Liu
The toxic effects of heavy metals on the biosphere have been demonstrated by a number of
studies.
The average grain sizes (D) were calculated from the diffraction peak using the Scherrer formula: θβ λ cos 89.0 =D where λ is the X-ray wavelength employed, θ is the diffraction angle of the peak, and β is defined as the half-width after correction of the instrumental broadening.
The average grain sizes (D) were calculated from the diffraction peak using the Scherrer formula: θβ λ cos 89.0 =D where λ is the X-ray wavelength employed, θ is the diffraction angle of the peak, and β is defined as the half-width after correction of the instrumental broadening.
Online since: September 2013
Authors: Quan Guo, Yue Li Dong, Bin Sun
Pcurrent={P1, P2 … Pnum}, PcurrentP and num≤n, represents the number of nodes used in the current task scheduling.
Number of chosen applications: 4.
Utilization ratio of resources: r1—75%, r2—67%, r3—67%, r4—100% 2) when all neural cells have the same priority k0, the result is {2,4,5,7,8} Number of chosen applications: 5.
Lewis, “Grain Size Determination for Parallel Processing,” IEEE Software,pp. 23-32, Jan. 2005
Gerasoulis, “DSC: Scheduling Parallel Tasks on an Unbounded Number of Processors,” IEEE Trans.
Number of chosen applications: 4.
Utilization ratio of resources: r1—75%, r2—67%, r3—67%, r4—100% 2) when all neural cells have the same priority k0, the result is {2,4,5,7,8} Number of chosen applications: 5.
Lewis, “Grain Size Determination for Parallel Processing,” IEEE Software,pp. 23-32, Jan. 2005
Gerasoulis, “DSC: Scheduling Parallel Tasks on an Unbounded Number of Processors,” IEEE Trans.
Online since: November 2014
Authors: Xiao Kun
According to DIFC we build CA _Data Guarder, Provide fine-grained data of isolation and control between multi-tenant and ensure to the safety mechanism can not be easily be bypassed.
(3) Encode( sk, S )→D: S and sk are input, according secret sharing, put out a new file D, D includes n the same size data blck {D1,D2,…, Dn}, this function does the progress of original file separation and redundant storage; (4) Challenge( r )→chal: input is random number r, out put is a challenge number chal, Client make chal, then send it to CSS, ask CSS to do the integrity verification to S
If the result is false, Client can require Repond ( I ) let pk and k data block{Di|1≤ i ≤ k}to be the first input respond number res, Client makes verification to res, then judge which block i is wrong
(7)Restroe({Di|1≤ i ≤ k}: k data block {Di|1≤ i ≤ k} is input, k is the threshold number of secret sharing program, try to recovery a original file from CSS。
before storing data {D1, D2,…, Dn} into cloud, users calculate firstly: Among them, Data IDi is the index of the i data block, Hash (⋅ )is one-way encryption function, User ID is the user’s ID on TTS, Password is used for authentication for users, Timestamp is used to avoid hard attack, c is random number which is chosen by user. cDi is used to find out the wrong data block when it is failed to data integrity verification .
(3) Encode( sk, S )→D: S and sk are input, according secret sharing, put out a new file D, D includes n the same size data blck {D1,D2,…, Dn}, this function does the progress of original file separation and redundant storage; (4) Challenge( r )→chal: input is random number r, out put is a challenge number chal, Client make chal, then send it to CSS, ask CSS to do the integrity verification to S
If the result is false, Client can require Repond ( I ) let pk and k data block{Di|1≤ i ≤ k}to be the first input respond number res, Client makes verification to res, then judge which block i is wrong
(7)Restroe({Di|1≤ i ≤ k}: k data block {Di|1≤ i ≤ k} is input, k is the threshold number of secret sharing program, try to recovery a original file from CSS。
before storing data {D1, D2,…, Dn} into cloud, users calculate firstly: Among them, Data IDi is the index of the i data block, Hash (⋅ )is one-way encryption function, User ID is the user’s ID on TTS, Password is used for authentication for users, Timestamp is used to avoid hard attack, c is random number which is chosen by user. cDi is used to find out the wrong data block when it is failed to data integrity verification .
Online since: November 2007
Authors: Dong Hui Wen, Xiao Feng Zheng, Ju Long Yuan, Fei Yan Lou
Introduction
Important parameters identified that influence the surface quality generated during lapping process
for a given workmaterial with given abrasive (material and grain size) are the lapping speed, the
lapping load and the abrasive, concentration [1,2].
Taguchi method can extract information more precision and more efficiently, and the number of experiments are be conducted decrease rapidly [3,4,5].
Taguchi method takes Average value ( R ) and signal-to-noise ratio (S/N) as evaluating indicator for optimum design and analysis: ( )irii r j ij i RRR rr R R +++== ∑= L21 1 1 (1) i is for the tested number, r for the number of tested point (r=4).
( ) 2 2 2 1 1 * t t j k j j j Sy G SS t y y t n = = = − = − ∑ ∑ (5) where, k is for studied parameters; j level number of the parameter k; jy for average of each of the level under the parameters k; t for the replication of each level of the parameter k; here t=3.
Syj is sum of all trial results involving parameter k level j; n is the total number of trial runs (n=9).
Taguchi method can extract information more precision and more efficiently, and the number of experiments are be conducted decrease rapidly [3,4,5].
Taguchi method takes Average value ( R ) and signal-to-noise ratio (S/N) as evaluating indicator for optimum design and analysis: ( )irii r j ij i RRR rr R R +++== ∑= L21 1 1 (1) i is for the tested number, r for the number of tested point (r=4).
( ) 2 2 2 1 1 * t t j k j j j Sy G SS t y y t n = = = − = − ∑ ∑ (5) where, k is for studied parameters; j level number of the parameter k; jy for average of each of the level under the parameters k; t for the replication of each level of the parameter k; here t=3.
Syj is sum of all trial results involving parameter k level j; n is the total number of trial runs (n=9).
Online since: April 2009
Authors: Hiroshi Utsunomiya, Hideo Nakajima, Juan Lobos, Shinsuke Suzuki
Fig. 3 Increase in the Vickers hardness with the number of passes by ECAE
Similar tendency was shown in Fig. 4 for the results of the compressive yield strength.
As the channel angle in the present study is as large as 150º so as to avoid the collapse of the porous structure, the strain in the metal is lower than the usual reference data [5] where the channel angle is 90º and grain refinement is expected. 0 1 2 3 4 5 0 50 100 150 200 250 300 C o m pre ssive yie ld stre n gth / M P a Number of pass of ECAE lotus copper nonporous copper 0 1 2 3 4 5 0 10 20 30 40 S pe cific c o m pre ssive yield strength / M P a Number of pass of ECAE lotus copper nonporous copper Fig. 4 Increase in the yield strength with the number of passes by ECAE Fig. 5 Increase in the yield strength with the number of passes by ECAE Summary ECAE process is effective to increase the Vickers hardness and the yield strength of lotus copper with maintaining the porous structure.
The mechanical properties increase with increasing pass number till several passes and then reach the maximum value.
As the channel angle in the present study is as large as 150º so as to avoid the collapse of the porous structure, the strain in the metal is lower than the usual reference data [5] where the channel angle is 90º and grain refinement is expected. 0 1 2 3 4 5 0 50 100 150 200 250 300 C o m pre ssive yie ld stre n gth / M P a Number of pass of ECAE lotus copper nonporous copper 0 1 2 3 4 5 0 10 20 30 40 S pe cific c o m pre ssive yield strength / M P a Number of pass of ECAE lotus copper nonporous copper Fig. 4 Increase in the yield strength with the number of passes by ECAE Fig. 5 Increase in the yield strength with the number of passes by ECAE Summary ECAE process is effective to increase the Vickers hardness and the yield strength of lotus copper with maintaining the porous structure.
The mechanical properties increase with increasing pass number till several passes and then reach the maximum value.
Online since: January 2012
Authors: Zan Min Wu, Zhi Peng He, Jun Wang, Xiao Jiao Deng
The HLB (Hydrophile-Lipophile Balance Number) of capsanthin can be calculated from Equation (1).
Table 1 Using different Extraction Solvent Extract Capsanthin numbers solvent chili powder (g) extract amount of capsanthin (g) Abs extraction ratio (%) 1-1 95% ethanol 70 2.381 0.433 3.401 1-2 acetone 70 2.378 0.582 3.400 1-3 petroleum ether 70 1.753 0.578 2.501 1-4 acetone and petroleum ether 70 1.985 0.580 2.832 (2) Selection of the Optimal Extraction Condition The higher the absorbency, the bigger the yield of capsanthin.
Fig. 3 Effect of ratio of chilli to liquor on absorbency Fig. 4 Effect of number of extraction on absorbency (IV) The Optimal Number of Extraction The extraction was conducted with different numbers of extraction at temperature 383.15K, extraction time 3h, ratio of chilli to liquor 1:25.
It is seen from Fig. 4 that the extraction ratio didn’t increase with increasing the numbers of extraction, on the contrast, the solvent and the time was wasted.
Reference [1] Chen Shao-ling, Analysis and Comprehensive Utilization of Chili, Grain Processing. 4 (2002) 52-55
Table 1 Using different Extraction Solvent Extract Capsanthin numbers solvent chili powder (g) extract amount of capsanthin (g) Abs extraction ratio (%) 1-1 95% ethanol 70 2.381 0.433 3.401 1-2 acetone 70 2.378 0.582 3.400 1-3 petroleum ether 70 1.753 0.578 2.501 1-4 acetone and petroleum ether 70 1.985 0.580 2.832 (2) Selection of the Optimal Extraction Condition The higher the absorbency, the bigger the yield of capsanthin.
Fig. 3 Effect of ratio of chilli to liquor on absorbency Fig. 4 Effect of number of extraction on absorbency (IV) The Optimal Number of Extraction The extraction was conducted with different numbers of extraction at temperature 383.15K, extraction time 3h, ratio of chilli to liquor 1:25.
It is seen from Fig. 4 that the extraction ratio didn’t increase with increasing the numbers of extraction, on the contrast, the solvent and the time was wasted.
Reference [1] Chen Shao-ling, Analysis and Comprehensive Utilization of Chili, Grain Processing. 4 (2002) 52-55
Online since: November 2007
Authors: A.A.D.T. Adikaari, N.K. Mudugamuwa, S.R.P. Silva
The depth of crystallization becomes important for
applications such as photovoltaics, which depends on a number of factors; with laser beam shape
one of the most significant.
The research has been focused on to realising large grained polycrystalline silicon, with minimum surface roughness occurring upon crystallization. [4] A number of beam shapes has been utilized for crystallization, starting with a "top-hat" profile, as shown in Fig. 1(a).
The research has been focused on to realising large grained polycrystalline silicon, with minimum surface roughness occurring upon crystallization. [4] A number of beam shapes has been utilized for crystallization, starting with a "top-hat" profile, as shown in Fig. 1(a).
Online since: February 2010
Authors: Sergey V. Dorozhkin
There have been a
number of major advances made in this field during the past 30 - 40 years.
Biomaterials and Bioceramics A number of definitions have been developed for the term "biomaterials".
A definite correlation between hardness and a grain size in sintered HA bioceramics was found: the hardness started to decrease at a certain critical grain size limit despite exhibiting high bulk density [104].
Furthermore, dense HA ceramics exhibit superplasticity at 1000 - 1100 °C with a deformation mechanism based on grain boundary sliding.
More to the point, bone-forming functions of cells can be dependent on grain morphology of the scaffolds.
Biomaterials and Bioceramics A number of definitions have been developed for the term "biomaterials".
A definite correlation between hardness and a grain size in sintered HA bioceramics was found: the hardness started to decrease at a certain critical grain size limit despite exhibiting high bulk density [104].
Furthermore, dense HA ceramics exhibit superplasticity at 1000 - 1100 °C with a deformation mechanism based on grain boundary sliding.
More to the point, bone-forming functions of cells can be dependent on grain morphology of the scaffolds.
Online since: June 2012
Authors: Yan Min Wu, Rong Sun, Peng Li Zhu
The results show that the prepared Ni1-xZnxFe2O4(x=0.2~0.7) have good spinel structures, higher saturation magnetization (35.18~77.69 emu/g) and smaller hysteresis hoops, while Ni0.2Zn0.8Fe2O4 grains exhibit some paramagnetic behaviors, such as almost zero hysteresis and non-saturated magnetization.
The structural and static magnetic characteristics of the ferrite grains are characterized respectively by XRD and VSM.
This can be attributed to the increasing migration of Fe3+ ions from the A- to B-sites with increasing Zn content without magnetic moment in order to accommodate to the increased number of Zn ions on A-sites.
This is because the growing of the number of magnetic particles in composites leads to ferromagnetic resonance occurring in lower frequency.
The structural and static magnetic characteristics of the ferrite grains are characterized respectively by XRD and VSM.
This can be attributed to the increasing migration of Fe3+ ions from the A- to B-sites with increasing Zn content without magnetic moment in order to accommodate to the increased number of Zn ions on A-sites.
This is because the growing of the number of magnetic particles in composites leads to ferromagnetic resonance occurring in lower frequency.