Wednesday, September 27, 2006
Thursday, September 21, 2006
CAE Software - Freeze Drying Software
CAE Software - Freeze Drying Software: "Benefits of Freeze Drying SoftwareProvide a tool to predict drying times and process conditions to alleviate 'islands of ice' and glassing of product
Results can be used for FDA process approval
Minimize cost of testing and shorten drying time to increase yield
Provide detailed understanding of primary and secondary drying processes "
Results can be used for FDA process approval
Minimize cost of testing and shorten drying time to increase yield
Provide detailed understanding of primary and secondary drying processes "
Discrete Element Modeling - Passage DEM Software- Particle Flow Simulation
Discrete Element Modeling - Passage DEM Software- Particle Flow Simulation: "Passage® Discrete Element Method Software
Some application areas for Passage discrete element modelling (DEM) program
Computers
Printers
Pharmaceutical Processes
Food Processing
Material Processing
Mixing Problems
Custom software"
Some application areas for Passage discrete element modelling (DEM) program
Computers
Printers
Pharmaceutical Processes
Food Processing
Material Processing
Mixing Problems
Custom software"
Tuesday, September 19, 2006
Entrez PubMed
Entrez PubMed: "Computational fluid dynamics modeling of intracranial aneurysms: effects of parent artery segmentation on intra-aneurysmal hemodynamics.
Castro MA, Putman CM, Cebral JR.
School of Computational Sciences, George Mason University, Fairfax, Va.
PURPOSE: The purpose of this study is to show the influence of the upstream parent artery geometry on intraaneurysmal hemodynamics of cerebral aneurysms. METHODS: Patient-specific models of 4 cerebral aneurysms (1 posterior communicating artery [PcomA], 2 middle cerebral artery [MCA], and 1 anterior communicating artery [AcomA]) were constructed from 3D rotational angiography images. Two geometric models were constructed for each aneurysm. One model had the native parent vessel geometry; the second model was truncated approximately 1 cm upstream from the aneurysm, and the parent artery replaced with a straight cylinder. Corresponding finite element grids were generated and computational fluid dynamics simulations were carried out under pulsatile flow conditions. The intra-aneurysmal flow patterns and wall shear stress (WSS) distributions were visualized and compared. RESULTS: Models using the truncated parent vessel underestimated the WSS in the aneurysms in all cases and shifted the impaction zone to the neck compared with the native geometry. These effects were more pronounced in the PcomA and AcomA aneurysms where upstream curvature was substantial. The MCA aneurysm with a long M1 segment was the least effected. The more laminar flow pattern within the parent vessel in truncated models resulted in a less complex intra-aneurysmal flow patterns with fewer vortices and less velocity at the dome. CONCLUSIONS: Failure to properly model the inflow stream contributed by the upstream parent "
Castro MA, Putman CM, Cebral JR.
School of Computational Sciences, George Mason University, Fairfax, Va.
PURPOSE: The purpose of this study is to show the influence of the upstream parent artery geometry on intraaneurysmal hemodynamics of cerebral aneurysms. METHODS: Patient-specific models of 4 cerebral aneurysms (1 posterior communicating artery [PcomA], 2 middle cerebral artery [MCA], and 1 anterior communicating artery [AcomA]) were constructed from 3D rotational angiography images. Two geometric models were constructed for each aneurysm. One model had the native parent vessel geometry; the second model was truncated approximately 1 cm upstream from the aneurysm, and the parent artery replaced with a straight cylinder. Corresponding finite element grids were generated and computational fluid dynamics simulations were carried out under pulsatile flow conditions. The intra-aneurysmal flow patterns and wall shear stress (WSS) distributions were visualized and compared. RESULTS: Models using the truncated parent vessel underestimated the WSS in the aneurysms in all cases and shifted the impaction zone to the neck compared with the native geometry. These effects were more pronounced in the PcomA and AcomA aneurysms where upstream curvature was substantial. The MCA aneurysm with a long M1 segment was the least effected. The more laminar flow pattern within the parent vessel in truncated models resulted in a less complex intra-aneurysmal flow patterns with fewer vortices and less velocity at the dome. CONCLUSIONS: Failure to properly model the inflow stream contributed by the upstream parent "
Monday, September 18, 2006
Entrez PubMed
Entrez PubMed
The nonsteady state modeling of freeze drying: in-process product temperature and moisture content mapping and pharmaceutical product quality applications.
The nonsteady state modeling of freeze drying: in-process product temperature and moisture content mapping and pharmaceutical product quality applications.
Customized Software Development - Custom CAE Software by Technalysis
Customized Software Development - Custom CAE Software by Technalysis: "Software Development Technalysis' Passage Software has been used within wide variety of industry applications. However, Technalysis can customize its Passage Program to specific needs. Technalysis has over 20 years of experience developing, customizing and supporting software for many specific applications.
Please contact us to discuss your needs.
Technalysis, Inc
7116 Zionsville Road
Indianapolis, IN 46268
Telephone: 317-291-1985
Fax: 317-291-7281
Contact Technalysis for CAE development needs.
Technalysis brochure "
Please contact us to discuss your needs.
Technalysis, Inc
7116 Zionsville Road
Indianapolis, IN 46268
Telephone: 317-291-1985
Fax: 317-291-7281
Contact Technalysis for CAE development needs.
Technalysis brochure "
1D System Analysis and Design - Fluid Flow Modeling - Fluid Flow Modeling Software - Network Performance.
1D System Analysis and Design - Fluid Flow Modeling - Fluid Flow Modeling Software - Network Performance.: "PASSAGE®/SYSFLOW Program is fast, user-friendly and effectively predicts performance in a variety of user-defined networks.
Steady state, compressible and incompressible flow network problems can be solved including heat transfer effects.
Virtually any flow network system and/or sub-system can be modeled using combinations of components included in the standard library.
A numerical model such as PASSAGE®/SYSFLOW design and analysis tool serves as an invaluable tool to study the flow and heat-transfer in complex systems and to optimize the design process in a more cost effective and timely fashion.
PASSAGE®/ Sysflow brochure"
Steady state, compressible and incompressible flow network problems can be solved including heat transfer effects.
Virtually any flow network system and/or sub-system can be modeled using combinations of components included in the standard library.
A numerical model such as PASSAGE®/SYSFLOW design and analysis tool serves as an invaluable tool to study the flow and heat-transfer in complex systems and to optimize the design process in a more cost effective and timely fashion.
PASSAGE®/ Sysflow brochure"
Tuesday, September 12, 2006
Benefits of Coupled 1D-3D Analysis
Advantage of Technalysis' System and Component Level Analysis Approach
Entire system can be easily and quickly modeled and modified using Passage 1D.
The models can be created early in the design cycle to detect potential problems.
A sensitivity analysis can be performed to determine the critical parameters and improve system level performance.
Passage Flow or any other Passage 3D software can be used to do further analysis to improve specific component performance, understand and visualize complex flow behavior and solve any flow and heat transfer problems.
Entire system can be easily and quickly modeled and modified using Passage 1D.
The models can be created early in the design cycle to detect potential problems.
A sensitivity analysis can be performed to determine the critical parameters and improve system level performance.
Passage Flow or any other Passage 3D software can be used to do further analysis to improve specific component performance, understand and visualize complex flow behavior and solve any flow and heat transfer problems.
Discrete element method - Wikipedia, the free encyclopedia
Discrete element method - Wikipedia, the free encyclopedia
Discrete element method
From Wikipedia, the free encyclopedia
Jump to: navigation, search
The term discrete element method (DEM) is a family of numerical methods for computing the motion of a large number of particles like molecules or grains of sand. The method was originally applied by Cundall in 1971 to problems in rock mechanics. The theoretical basis of the method was detailed by Williams, Hocking, and Mustoe in 1985 who showed that DEM could be viewed as a generalized finite element method. Its applications to geomechanics problems is described in the book Numerical Modeling in Rock Mechanics, by Pande, G., Beer, G. and Williams, J.R.. Good sources detailing research in the area are to be found in the 1st, 2nd and 3rd International Conferences on Discrete Element Methods. Journal articles reviewing the state of the art have been published by Williams, and Bicanic (see below). A comprehensive treatment of the combined Finite Element-Discrete Element Method is contained in the book The Combined Finite-Discrete Element Method by Munjiza. The method is sometimes called molecular dynamics (MD), even when the particles are not molecules. However, in contrast to molecular dynamics the method can be used to model particles with non-spherical shape. The various branches of the DEM family are the distinct element method proposed by Cundall in 1971, the generalized discrete element method proposed by Hocking, Williams and Mustoe in 1985, the discontinuous deformation analysis (DDA) proposed by Shi in 1988 and the finite-discrete element method proposed by Munjiza and Owen in 2004.
Discrete element methods are processor intensive and this limits either the length of a simulation or the number of particles. Advances in the software are beginning to take advantage of parallel processing capabilities (shared or distributed systems) to scale up the number of particles or length of the simulation. An alternative to treating all particles separately is to average the physics across many particles and thereby treat the material as a continuum. In the case of solid-like granular behavior as in soil mechanics, the continuum approach usually treats the material as elastic or elasto-plastic and models it with the finite element method or a mesh free method. In the case of liquid-like or gas-like granular flow, the continuum approach may treat the material as a fluid and use computational fluid dynamics.
Discrete element method
From Wikipedia, the free encyclopedia
Jump to: navigation, search
The term discrete element method (DEM) is a family of numerical methods for computing the motion of a large number of particles like molecules or grains of sand. The method was originally applied by Cundall in 1971 to problems in rock mechanics. The theoretical basis of the method was detailed by Williams, Hocking, and Mustoe in 1985 who showed that DEM could be viewed as a generalized finite element method. Its applications to geomechanics problems is described in the book Numerical Modeling in Rock Mechanics, by Pande, G., Beer, G. and Williams, J.R.. Good sources detailing research in the area are to be found in the 1st, 2nd and 3rd International Conferences on Discrete Element Methods. Journal articles reviewing the state of the art have been published by Williams, and Bicanic (see below). A comprehensive treatment of the combined Finite Element-Discrete Element Method is contained in the book The Combined Finite-Discrete Element Method by Munjiza. The method is sometimes called molecular dynamics (MD), even when the particles are not molecules. However, in contrast to molecular dynamics the method can be used to model particles with non-spherical shape. The various branches of the DEM family are the distinct element method proposed by Cundall in 1971, the generalized discrete element method proposed by Hocking, Williams and Mustoe in 1985, the discontinuous deformation analysis (DDA) proposed by Shi in 1988 and the finite-discrete element method proposed by Munjiza and Owen in 2004.
Discrete element methods are processor intensive and this limits either the length of a simulation or the number of particles. Advances in the software are beginning to take advantage of parallel processing capabilities (shared or distributed systems) to scale up the number of particles or length of the simulation. An alternative to treating all particles separately is to average the physics across many particles and thereby treat the material as a continuum. In the case of solid-like granular behavior as in soil mechanics, the continuum approach usually treats the material as elastic or elasto-plastic and models it with the finite element method or a mesh free method. In the case of liquid-like or gas-like granular flow, the continuum approach may treat the material as a fluid and use computational fluid dynamics.
WBM
WBM: "Discrete Element Modelling
There are numerous engineering processes in the mining and minerals processing industries, such as the flow of coal through a chute or the comminution of material in a ball mill, that can not be solved using continuum based methods (i.e. the methods used in finite element modelling or computational fluid dynamics packages).
In contrast to continuum methods, the discrete element method (DEM) is a technique where the mechanics of thousands of interacting, individual elements are computed. Any geometry can be configured and the properties of the Particle-Particle and Particle-Boundary collisions can be adjusted to suit the materials. In a basic analysis, each particle or element would represented as a simple sphere, however these may be combined together to generate complex shapes observed in real world problems. Real world physics, such as friction, fracture, adhesion and cohesion, also can be incorporated into the simulation.
By explicitly modelling the dynamic motion and mechanical interactions of each body or particle in the physical problem, the simulation provides a detailed description of the velocities, positions, forces and collision events acting on each body or particle, at any given time during the simulation.
The information provided through DEM analysis can be used to investigate issues such as power requirements and wear rates for mechanical components, as well as material specific issues such as comminution rate, chute and hopper blockage and dust formation."
There are numerous engineering processes in the mining and minerals processing industries, such as the flow of coal through a chute or the comminution of material in a ball mill, that can not be solved using continuum based methods (i.e. the methods used in finite element modelling or computational fluid dynamics packages).
In contrast to continuum methods, the discrete element method (DEM) is a technique where the mechanics of thousands of interacting, individual elements are computed. Any geometry can be configured and the properties of the Particle-Particle and Particle-Boundary collisions can be adjusted to suit the materials. In a basic analysis, each particle or element would represented as a simple sphere, however these may be combined together to generate complex shapes observed in real world problems. Real world physics, such as friction, fracture, adhesion and cohesion, also can be incorporated into the simulation.
By explicitly modelling the dynamic motion and mechanical interactions of each body or particle in the physical problem, the simulation provides a detailed description of the velocities, positions, forces and collision events acting on each body or particle, at any given time during the simulation.
The information provided through DEM analysis can be used to investigate issues such as power requirements and wear rates for mechanical components, as well as material specific issues such as comminution rate, chute and hopper blockage and dust formation."
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