The Experts below are selected from a list of 20166 Experts worldwide ranked by ideXlab platform
Gatz-miller, Hannah Sarah - One of the best experts on this subject based on the ideXlab platform.
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MODELING THE INFLUENCE OF THE HETEROGENEOUS SUBSTRATE ON THE TRANSPORT OF THE JET FUEL Solute PLUME, KIRTLAND AIR FORCE BASE, ALBUQUERQUE, NEW MEXICO
UNM Digital Repository, 2016Co-Authors: Gatz-miller, Hannah SarahAbstract:A subsurface model was developed to characterize the influence of heterogeneity on Solute Phase plume migration of the Jet Fuel spill of Kirtland Air Force Base. Core –logs from KAFB boreholes were compiled, and lithology was interpolated across the study area using transition probability geostatistics (T-PROGS). High conductivity materials in the travel path resulted in a faster than average breakthrough time while, if low conductivity materials were placed in the travel path, particles were either forced to divert around the low K material, which added time and changed the direction of travel, or were forced by the hydraulic gradient to move through the materials, which also added travel time. Because these models indicate that material placement and facies dimensions significantly affect particle path, well arrival time, and breakthrough arrival time, heterogeneity should not be neglected when building groundwater models to predict movement of the KAFB Bulk Fuels Facility saturated plume
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MODELING THE INFLUENCE OF THE HETEROGENEOUS SUBSTRATE ON THE TRANSPORT OF THE JET FUEL Solute PLUME, KIRTLAND AIR FORCE BASE, ALBUQUERQUE, NEW MEXICO
2016Co-Authors: Gatz-miller, Hannah SarahAbstract:A subsurface model was developed to characterize the influence of heterogeneity on Solute Phase plume migration of the Jet Fuel spill of Kirtland Air Force Base. Core –logs from KAFB boreholes were compiled, and lithology was interpolated across the study area using transition probability geostatistics (T-PROGS). High conductivity materials in the travel path resulted in a faster than average breakthrough time while, if low conductivity materials were placed in the travel path, particles were either forced to divert around the low K material, which added time and changed the direction of travel, or were forced by the hydraulic gradient to move through the materials, which also added travel time. Because these models indicate that material placement and facies dimensions significantly affect particle path, well arrival time, and breakthrough arrival time, heterogeneity should not be neglected when building groundwater models to predict movement of the KAFB Bulk Fuels Facility saturated plume.The New Mexico Geological SocietyEarth and Planetary SciencesMastersUniversity of New Mexico. Dept. of Earth and Planetary SciencesWeissmann, GarySmith, GaryScuderi, Loui
Heinz Gamsjager - One of the best experts on this subject based on the ideXlab platform.
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solid Solute Phase equilibria in aqueous solution xvi thermodynamic properties of malachite and azurite predominance diagrams for the system cu 2 h2 o co 2
The Journal of Chemical Thermodynamics, 2002Co-Authors: Wolfgang Preis, Heinz GamsjagerAbstract:The thermodynamic properties of the copper carbonates malachite, Cu 2(OH)2 CO 3, and azurite, Cu 3(OH) 2(CO 3)2, have been obtained from solubility measurements as a function of temperature as well as ionic strength of aqueous perchlorate media. First, solubility constants have been determined from T = 288.15 K toT = 338.15 K at constant ionic strength, I = 1.00 mol · kg − 1NaClO 4. Second, solubility experiments have been carried out fromI = 1.00 mol · kg − 1toI = 3.00 mol · kg − 1NaClO 4at constant temperature, T = 298.15 K. All experimental data have been evaluated by application of the optimization routine of ChemSage, yielding an internally consistent set of thermodynamic properties for malachite (T = 298.15 K):log ★ Kps00 (mal.) = (6.34 ± 0.10),ΔfGmo {Cu2(OH)2CO3 } = ( − 903.3 ± 1.2)kJ · mol − 1,ΔfHmo {Cu2(OH)2CO3 } = ( − 1067.1 ± 3.4)kJ · mol − 1,Smo { Cu2(OH)2CO3} = (166.3 ± 2.5)J · mol − 1· K − 1; and azurite (T = 298.15 K):log ★ Kps00 (azu.) = (6.30 ± 0.10),ΔfGmo {Cu3(OH)2(CO3)2 } = ( − 1434.2 ± 1.8)kJ · mol − 1,ΔfHmo {Cu3(OH)2(CO3)2 } = ( − 1675.1 ± 5.1)kJ · mol − 1,Smo {Cu3(OH)2(CO3)2 } = (254.4 ± 3.8)J · mol − 1· K − 1. Whereas these results confirm the literature data for the standard molar entropies, new values for the standard molar enthalpy of formation of malachite and azurite are recommended. Moreover, the Phase relations in the ternary system Cu 2 + – H 2O– CO 2are discussed by the construction of two-dimensional as well as three-dimensional predominance diagrams.
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graphical representation of solid Solute Phase equilibria in aqueous solution
Königsberger E. ORCID: 0000-0002-4606-0741 and Gamsjäger H. (1991) Graphical representation of solid-solute phase equilibria in aqueous solution. In: , 1991Co-Authors: E Konigsberger, Heinz GamsjagerAbstract:Solid-Solute Phase diagrams are useful tools for the depiction of stable and metastable equilibria between binary mixed crystals with common ions and aqueous solutions. Generalized Gibbs-Duhem equations provide the common basis and suggest natural co-ordinates for the graphical representation of thermodynamic variables. Diagrams applicable even to highly soluble electrolytes can be constructed by plotting the osmotic coefficient of the solvent times the total molality πΣm vs. the mole fractions x of the dissolved and solid components, respectively. According to Schmalzried and Pelton's topological classification the resulting Phase diagrams are of Type II. They can be used for practical purposes, e.g., to predict the separability of the components by fractional crystallization.
Feng Wei Yang - One of the best experts on this subject based on the ideXlab platform.
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three dimensional thermal Solute Phase field simulation of binary alloy solidification
Journal of Computational Physics, 2015Co-Authors: P C Bollada, P K Jimack, Andrew M Mullis, C E Goodyer, Feng Wei YangAbstract:We employ adaptive mesh refinement, implicit time stepping, a nonlinear multigrid solver and parallel computation to solve a multi-scale, time dependent, three dimensional, nonlinear set of coupled partial differential equations for three scalar field variables. The mathematical model represents the non-isothermal solidification of a metal alloy into a melt substantially cooled below its freezing point at the microscale. Underlying physical molecular forces are captured at this scale by a specification of the energy field. The time rate of change of the temperature, alloy concentration and an order parameter to govern the state of the material (liquid or solid) are controlled by the diffusion parameters and variational derivatives of the energy functional. The physical problem is important to material scientists for the development of solid metal alloys and, hitherto, this fully coupled thermal problem has not been simulated in three dimensions, due to its computationally demanding nature. By bringing together state of the art numerical techniques this problem is now shown here to be tractable at appropriate resolution with relatively moderate computational resources.
Chao Luo - One of the best experts on this subject based on the ideXlab platform.
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development of a parallel adaptive multigrid algorithm for solving the multi scale thermal Solute 3d Phase field problems
Computational Materials Science, 2018Co-Authors: Zhipeng Guo, Chao LuoAbstract:Abstract A parallel adaptive multigrid algorithm was developed to solve the coupled thermal-Solute Phase field equations so that the multi-scale difficulty of the problem when both thermal and Solute fields were presented could be resolved. Comparing with the explicit method, it was showed that the proposed algorithm even converged when the time step was enlarged to be 4 orders of magnitude larger, and combined with Para-AMR algorithm [1] the computation efficiency could be improved by about 4–5 orders of magnitude with little accuracy compromised, when a much higher and realistic Lewis number was used, e.g. Le = 10,000. With this numerical capability, 3D Phase field simulations on dendrite growth in a much larger scale, in particular under multi-scale thermal-Solute conditions, could be performed in a much more sensible manner with moderate amount of computing resources. Dendrite growth simulations with Le varying from 1 to 10,000 in 3D were carried out for the first time, and the result showed that variation of Le led to a great difference of both tip velocity and tip radius, which was similar to the 2D case reported by [2].
Wolfgang Preis - One of the best experts on this subject based on the ideXlab platform.
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solid Solute Phase equilibria in aqueous solution xvi thermodynamic properties of malachite and azurite predominance diagrams for the system cu 2 h2 o co 2
The Journal of Chemical Thermodynamics, 2002Co-Authors: Wolfgang Preis, Heinz GamsjagerAbstract:The thermodynamic properties of the copper carbonates malachite, Cu 2(OH)2 CO 3, and azurite, Cu 3(OH) 2(CO 3)2, have been obtained from solubility measurements as a function of temperature as well as ionic strength of aqueous perchlorate media. First, solubility constants have been determined from T = 288.15 K toT = 338.15 K at constant ionic strength, I = 1.00 mol · kg − 1NaClO 4. Second, solubility experiments have been carried out fromI = 1.00 mol · kg − 1toI = 3.00 mol · kg − 1NaClO 4at constant temperature, T = 298.15 K. All experimental data have been evaluated by application of the optimization routine of ChemSage, yielding an internally consistent set of thermodynamic properties for malachite (T = 298.15 K):log ★ Kps00 (mal.) = (6.34 ± 0.10),ΔfGmo {Cu2(OH)2CO3 } = ( − 903.3 ± 1.2)kJ · mol − 1,ΔfHmo {Cu2(OH)2CO3 } = ( − 1067.1 ± 3.4)kJ · mol − 1,Smo { Cu2(OH)2CO3} = (166.3 ± 2.5)J · mol − 1· K − 1; and azurite (T = 298.15 K):log ★ Kps00 (azu.) = (6.30 ± 0.10),ΔfGmo {Cu3(OH)2(CO3)2 } = ( − 1434.2 ± 1.8)kJ · mol − 1,ΔfHmo {Cu3(OH)2(CO3)2 } = ( − 1675.1 ± 5.1)kJ · mol − 1,Smo {Cu3(OH)2(CO3)2 } = (254.4 ± 3.8)J · mol − 1· K − 1. Whereas these results confirm the literature data for the standard molar entropies, new values for the standard molar enthalpy of formation of malachite and azurite are recommended. Moreover, the Phase relations in the ternary system Cu 2 + – H 2O– CO 2are discussed by the construction of two-dimensional as well as three-dimensional predominance diagrams.