Sort by:
Publication Type:
Open access:
Publication Date:
Periodicals:
Search results
Atomic Density Function Simulations of Crystal Growth Kinetics of FCC Crystal and BCC-FCC Transition
Online since: June 2011
Authors: Marilyne Certain, Helena Zapolsky, Armen G. Khachaturyan
They have modified the standard phase field model by addition of the fourth order gradient term to the standard quadratic gradient term in the conventional coarse-grain free energy.
The smaller this undercooling, the smaller Δk and the smaller the number of instability waves decreasing the harmonic term in the free energy.
On the other hand, the greater the number of retained instability waves, the lower the harmonic term in the free energy (Eq. 6).
Therefore, in the case of the negative narrow range of k around k0, the most stable high temperature crystalline phase is the one whose reciprocal lattice has maximum possible number of the nearest-neighbour sites.
As we assumed that the atomic dynamics conserves the number of atoms, spatial isotropy of the space results in .
The smaller this undercooling, the smaller Δk and the smaller the number of instability waves decreasing the harmonic term in the free energy.
On the other hand, the greater the number of retained instability waves, the lower the harmonic term in the free energy (Eq. 6).
Therefore, in the case of the negative narrow range of k around k0, the most stable high temperature crystalline phase is the one whose reciprocal lattice has maximum possible number of the nearest-neighbour sites.
As we assumed that the atomic dynamics conserves the number of atoms, spatial isotropy of the space results in .
Online since: August 2013
Authors: Shou Qi Cao, Cheng Ming Chen, Li Juan Yu, Pei Liang Ling, Jin Song Yang
The service components of ocean fishing vessel and its operating smart system come from two ways: the first is to encapsulate original system functions so that investment can be protected efficiently, after original information management system of ocean fishing vessels was encapsulated by means of SOAP, WSD, UDDI series standard. and then the information system can be used through network, the business components, coarse-grain function components and shared computer resources in original information system are expressed by means of service; the second is that the developed service components facing the new demands and encapsulated service components by expended web service not only can shield heterogeneous operating systems, network and programming language but also the heterogeneity of traditional middleware, and support open, dynamic interoperate model.
T = {t1,t2,…,tn} is a finite set of transitions, each transition represents an entity of service component in new information system and it carries identification number of service components t_idi, and other information, variables of input parameters of service components t_ini, variables of computational results of service components t_outi, the component state t_si and other information, ti = {t_idi,t_ini,t_outi,t_si…,tn}, Pin = {t_ini}, Pout = {t_outi}.
Numf_in(pi) represents the directed flow number of pi as input variables or combined variables to service components (transitions), and all set of places (service components) using pi as input variables; Numf_out(pi) represents the number of output variables using pi as service components, also the directed flow number of service (transitions) to pi.
T = {t1,t2,…,tn} is a finite set of transitions, each transition represents an entity of service component in new information system and it carries identification number of service components t_idi, and other information, variables of input parameters of service components t_ini, variables of computational results of service components t_outi, the component state t_si and other information, ti = {t_idi,t_ini,t_outi,t_si…,tn}, Pin = {t_ini}, Pout = {t_outi}.
Numf_in(pi) represents the directed flow number of pi as input variables or combined variables to service components (transitions), and all set of places (service components) using pi as input variables; Numf_out(pi) represents the number of output variables using pi as service components, also the directed flow number of service (transitions) to pi.
Online since: May 2015
Authors: Ondrej Dasek, Jan Kudrna, Michal Varaus, Pavel Coufalik, Petr Hyzl, Jaroslava Daskova, Iva Krcmova, Dušan Stehlík
The result of the test is a graphical representation of the rut depth against the number of cycles (Fig. 4).
Fig. 3 SAL 5 M (30 mm) + BBTM 5 A (30 mm) slab cross-section after permanent deformation test Fig. 4 The relative rut depth against the number of cycles When comparing the results with the regulations, which are used in the Czech Republic, it is obvious, that all the designed mixtures fulfill by far the required WTSAIR and PDRAIR values.
Fatigue manifests itself by a gradual decrease in stiffness modulus depending on the number of load cycles.
It can be said that it in fact measures the lifetime of the mixture, which is defined as the number of repeated loads performed before the sample is disrupted (stiffness modulus decreases to half of its original value).
Both of these mixtures can be applied with a thickness smaller than 30 mm (due to their small aggregate grain size).
Fig. 3 SAL 5 M (30 mm) + BBTM 5 A (30 mm) slab cross-section after permanent deformation test Fig. 4 The relative rut depth against the number of cycles When comparing the results with the regulations, which are used in the Czech Republic, it is obvious, that all the designed mixtures fulfill by far the required WTSAIR and PDRAIR values.
Fatigue manifests itself by a gradual decrease in stiffness modulus depending on the number of load cycles.
It can be said that it in fact measures the lifetime of the mixture, which is defined as the number of repeated loads performed before the sample is disrupted (stiffness modulus decreases to half of its original value).
Both of these mixtures can be applied with a thickness smaller than 30 mm (due to their small aggregate grain size).
Online since: December 2014
Authors: Pei Xin Li, Yan Mu, Hong Xiao Ma, Xiao Lin Ren, Jian Bo Chen
Its chemical composition and grain degrees have shown in Table 1 and Table 2 respectively.
Table 1 Main chemical compositions of fly ash composition LoI CaO MgO SiO2 Fe2O3 Al2O3 SO3 total mass fraction (%) 5.78 3.55 2.25 54.52 1.80 30.55 1.25 99.7 Table 2 Size distribution of fly ash size distribution >100 mesh number 100~180 mesh number 180~320 mesh number <320 mesh number content(%) 24 13.5 17.5 35 Fig. 1 Mineral compositions of fly ash Experimental Methods The project development combines of the laboratory small experiments and industrial production.
Table 1 Main chemical compositions of fly ash composition LoI CaO MgO SiO2 Fe2O3 Al2O3 SO3 total mass fraction (%) 5.78 3.55 2.25 54.52 1.80 30.55 1.25 99.7 Table 2 Size distribution of fly ash size distribution >100 mesh number 100~180 mesh number 180~320 mesh number <320 mesh number content(%) 24 13.5 17.5 35 Fig. 1 Mineral compositions of fly ash Experimental Methods The project development combines of the laboratory small experiments and industrial production.
Online since: October 2020
Authors: Alla G. Sokolova, Yulia A. Sokolova, Marina A. Akulova, Tatjana E. Slizneva
Impaction of composite material takes place due to formation of a thin water-repellent film [7], closely tied with a cement matrix and splitting it into the number of smaller clusters [3].
At higher concentrations, the greater number of specific sites is formed leading to entangled polymeric network formation and noticeable feeding of liquid medium. 2′ 2 1 2′ b) 1 2 а) 1 c) 1 1 2′ 2’ 2 2 d) 2’ 2 f) 2’”” 1 2 e) Fig. 1.
Distribution of the parameters of relative scatter intensity according to the particles size (a, b), relative volume of particles (c, d) and relative number of particles (e, f) in the initial state (1), mechanoactivated state (2) and the state matured after activation during 24 hours (2′) of the solutions Na-CMC with the concentration: a), c), e) – 53.57 g/l; 8.37 mmol/l; b), d), f) – 0.357 g/l; (0.056 mmol/l) Impact of MMA on the phase composition of cement stone.
Judging from the number and intensity of ettringite’s peaks (2.625; 2.19; 2.135; 2.06; 1.67) on the X-ray diffraction pattern of the activated specimen (3.25; 2.625; 2.19; 2.135; 1.95; 1.67) and on the X-ray diffraction pattern of the non-activated specimen, one could make a conclusion that in the non-activated specimen the larger amount of hydrated calcium sulfoaluminate was formed if compared to non-activated one.
Sokolova, Fine Grain Concrete on Mixing Water Activated in Cavitation Permanent Magnet-Type Apparatus, J.
At higher concentrations, the greater number of specific sites is formed leading to entangled polymeric network formation and noticeable feeding of liquid medium. 2′ 2 1 2′ b) 1 2 а) 1 c) 1 1 2′ 2’ 2 2 d) 2’ 2 f) 2’”” 1 2 e) Fig. 1.
Distribution of the parameters of relative scatter intensity according to the particles size (a, b), relative volume of particles (c, d) and relative number of particles (e, f) in the initial state (1), mechanoactivated state (2) and the state matured after activation during 24 hours (2′) of the solutions Na-CMC with the concentration: a), c), e) – 53.57 g/l; 8.37 mmol/l; b), d), f) – 0.357 g/l; (0.056 mmol/l) Impact of MMA on the phase composition of cement stone.
Judging from the number and intensity of ettringite’s peaks (2.625; 2.19; 2.135; 2.06; 1.67) on the X-ray diffraction pattern of the activated specimen (3.25; 2.625; 2.19; 2.135; 1.95; 1.67) and on the X-ray diffraction pattern of the non-activated specimen, one could make a conclusion that in the non-activated specimen the larger amount of hydrated calcium sulfoaluminate was formed if compared to non-activated one.
Sokolova, Fine Grain Concrete on Mixing Water Activated in Cavitation Permanent Magnet-Type Apparatus, J.
Online since: September 2013
Authors: Wen Bai Liu, Xiao Yan Yang, Jia Jun Wang, Wen Hui Shi
Table 1Test plan of different soil physical properties determination of dredged mud
Soil
Conditions
silty sand
silty soil
clay
Ordinary dredged mud samples
10
20
30
Curing dredged mud samples
11
21
31
Note: Number 10 means ordinary silty sand dredged mud samples.
The first number means the soil, and the second number means the conditions.
The other Numbers share the same meaning; Solidified dredged mud samples: the samples with curing agent should be maintained under the standard conditions for 28 days (with the same ratio of curing agent); Experiment Materials and Equipment.
[4] He Zhongrun, Wang Xiaochu, The analysis on the influencing factors of coarse grained soil direct shear tests [J].
The first number means the soil, and the second number means the conditions.
The other Numbers share the same meaning; Solidified dredged mud samples: the samples with curing agent should be maintained under the standard conditions for 28 days (with the same ratio of curing agent); Experiment Materials and Equipment.
[4] He Zhongrun, Wang Xiaochu, The analysis on the influencing factors of coarse grained soil direct shear tests [J].
Online since: June 2005
Authors: L.D. Laude, N. Blanchemain, G. Mayer, H.F. Hildebrand, C. Dupas-Bruzek, D. Derozier, M. Traisnel
Scanning / 2 mm.s-1
Irradiation mode / Speed
Ambient air
Atmosphere
10 pulses / 10 Hz
Number of pulses / Repetition rate
12 à 120 mJ/cm² ± 1,8 mJ/cm²
Irradiation intensity
22 kV
Voltage
Lambda Physik, Compex 205, 248
nm
Model of excimer LASER (KrF)
0
100
200
300
400
500
600
700
800
900
1000 0 20 40 60 80 100 120
Laser energy (mJ/cm²)
Ablated depth (nm)
Profilometer 36 mJ/cm²
44
46
48
50 0
12
24
36
48
60
72
84
96
108
120
Laser energy (mJ/cm²)
Surface tension (mJ/m²)
Surface tension
Table 1: Irradiation parameters of PET samples.
The colony forming method showed that PET (powder reduced Melinex® with a grain size <10µm) is not toxic for L132 cells even at a high concentration of this polymer (400µg/ml).
Cell proliferation showed a dose-dependant increase in the cell number reciprocal to the irradiation energy (from 88 to 138% with respect to control).
This is probably due to the higher cell number of proliferation rather than to real cell activation.
In further investigations, other parameters, i.e. number of pulses, repetition rate, atmosphere, etc. will be varied in the aim to assess the optimal experimental conditions for maximal surface improvement.
The colony forming method showed that PET (powder reduced Melinex® with a grain size <10µm) is not toxic for L132 cells even at a high concentration of this polymer (400µg/ml).
Cell proliferation showed a dose-dependant increase in the cell number reciprocal to the irradiation energy (from 88 to 138% with respect to control).
This is probably due to the higher cell number of proliferation rather than to real cell activation.
In further investigations, other parameters, i.e. number of pulses, repetition rate, atmosphere, etc. will be varied in the aim to assess the optimal experimental conditions for maximal surface improvement.
Online since: November 2024
Authors: Alexandru Nicolae Luca, Daniel Ostoia, Cornelia Laura Salcianu, Cristan Ghera, Lavinia Madalina Micu, Ilare Bordeasu
., compounds on which the resistance to cavitation stresses depends, because they contribute to the decrease of the strength of the structure by weakening the bonds between the basic grains and by creating crack primers.
It can be seen that in alloys 5083 and 6082 the number and sizes of intermetallic compounds are greater than in alloys 2017 A and 7075.
The highest degree of destruction, with rapid evolution and large, deep caverns, is found in alloy 6082 (with deep caverns), followed by alloy 5083 with a large number of small, extensive caverns.
- alloy 2017A can be characterised as having good resistance to vibratory cavitational stresses, with a small number of concentric circles of cavities, which become visible after 90 minutes of stress.
Craciunescu: Cavitation Erosion Mechanisms of Solution Treated X5CrNi18-10 Stainless Steels, Journal of Tribology-Transactions of the Asme, vo. 138, no. 3, Article Number 031102, (2016) [11] L.M.
It can be seen that in alloys 5083 and 6082 the number and sizes of intermetallic compounds are greater than in alloys 2017 A and 7075.
The highest degree of destruction, with rapid evolution and large, deep caverns, is found in alloy 6082 (with deep caverns), followed by alloy 5083 with a large number of small, extensive caverns.
- alloy 2017A can be characterised as having good resistance to vibratory cavitational stresses, with a small number of concentric circles of cavities, which become visible after 90 minutes of stress.
Craciunescu: Cavitation Erosion Mechanisms of Solution Treated X5CrNi18-10 Stainless Steels, Journal of Tribology-Transactions of the Asme, vo. 138, no. 3, Article Number 031102, (2016) [11] L.M.
Online since: June 2025
Authors: Lissa Opirina, Sri Aprilia, Muttaqin Hasan, Teuku Budi Aulia
Rice husk ash has a high silica content because rice plants absorb silica from the soil and store it in the grains and the husks covering the grains [28] .
The y- axis shows transmittance (%T) and the x- axis shows number waves (cm⁻¹), range from 4000 cm⁻¹ to about 400 cm⁻¹.
Silica ( SiO ₂) is clear identified through a number of peak important, especially at 1100 cm⁻¹ and 790 cm⁻¹, which are common for based materials silicate.
Size Particles at magnification the given scale is 50 micrometers (µm), so visible particles own size between a number of micrometer until dozens micrometer .
Texture particle seen porous, and there is a number of visible structure more smooth and there are also some that are more coarse.
The y- axis shows transmittance (%T) and the x- axis shows number waves (cm⁻¹), range from 4000 cm⁻¹ to about 400 cm⁻¹.
Silica ( SiO ₂) is clear identified through a number of peak important, especially at 1100 cm⁻¹ and 790 cm⁻¹, which are common for based materials silicate.
Size Particles at magnification the given scale is 50 micrometers (µm), so visible particles own size between a number of micrometer until dozens micrometer .
Texture particle seen porous, and there is a number of visible structure more smooth and there are also some that are more coarse.
Online since: February 2023
Authors: Wan Zairani Wan Bakar, Arina Sauki, Mohd Fazril Irfan Ahmad Fuad, Nur Shuhadah Japperi, Zulhelmi Amir
However, the software requires a number of parameters estimates such as organic content, disposal data and rates, site closure dates, expansion schedules or collection efficiencies and knowledge of waste composition.
Porosity of rock varies with lithology type, grain shape and sorting as well as cementation between grains.
Hence, for the purpose of simulation on Air Hitam Landfill, the porosity values were varied between 20% to 40% considering the decomposition of the solid waste into the soil with less sandstone grains that normally encountered in oil and gas reservoirs.
Porosity of rock varies with lithology type, grain shape and sorting as well as cementation between grains.
Hence, for the purpose of simulation on Air Hitam Landfill, the porosity values were varied between 20% to 40% considering the decomposition of the solid waste into the soil with less sandstone grains that normally encountered in oil and gas reservoirs.