Friday, October 31, 2008
Friday, October 24, 2008
Wednesday, October 22, 2008
Monday, October 13, 2008
Fluid Flow Software
Fluid Flow Software - System Analysis and Design - Network Performance.
PASSAGE®/SYSFLOW software is a one dimensional system fluid flow modeling and heat transfer analysis program for the prediction of flow network performance and system design and analysis.
PASSAGE®/SYSFLOW software provides very useful information in understanding the flow splits in branched flow passages and the overall heat fluxes between components.
A 1D flow software is a very efficient and a relatively inexpensive tool for system analysis and design.
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 software is a one dimensional system fluid flow modeling and heat transfer analysis program for the prediction of flow network performance and system design and analysis.
PASSAGE®/SYSFLOW software provides very useful information in understanding the flow splits in branched flow passages and the overall heat fluxes between components.
A 1D flow software is a very efficient and a relatively inexpensive tool for system analysis and design.
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.
Wednesday, June 18, 2008
Understanding the Relationship Between Filling Pattern and Part Quality in Die Casting
Understanding the Relationship Between Filling Pattern
and Part Quality in Die Casting
1.0 Introduction
The overall objective of this research project was to investigate phenomena involved in the
filling of die cavities with molten alloy in the cold chamber die-casting process. It has long been
recognized that the filling pattern of molten metal entering a die cavity influences the quality of
die-cast parts. Filling pattern may be described as the progression of molten metal filling the die
cavity geometry as a function of time. The location, size and geometric configuration of points
of metal entry (gates), as well as the geometry of the casting cavity itself, have great influence on
filling patterns. Knowledge of the anticipated filling patterns in die-castings is important for
designers. Locating gates to avoid undesirable flow patterns that may entrap air in the casting is
critical to casting quality – as is locating vents to allow air to escape from the cavity (last places
to fill). Casting quality attributes that are commonly flow related are non-fills, poor surface
finish, internal porosity due to trapped air, cold shuts, cold laps, flow lines, casting skin de-
lamination (flaking), and blistering during thermal treatment more...
and Part Quality in Die Casting
1.0 Introduction
The overall objective of this research project was to investigate phenomena involved in the
filling of die cavities with molten alloy in the cold chamber die-casting process. It has long been
recognized that the filling pattern of molten metal entering a die cavity influences the quality of
die-cast parts. Filling pattern may be described as the progression of molten metal filling the die
cavity geometry as a function of time. The location, size and geometric configuration of points
of metal entry (gates), as well as the geometry of the casting cavity itself, have great influence on
filling patterns. Knowledge of the anticipated filling patterns in die-castings is important for
designers. Locating gates to avoid undesirable flow patterns that may entrap air in the casting is
critical to casting quality – as is locating vents to allow air to escape from the cavity (last places
to fill). Casting quality attributes that are commonly flow related are non-fills, poor surface
finish, internal porosity due to trapped air, cold shuts, cold laps, flow lines, casting skin de-
lamination (flaking), and blistering during thermal treatment more...
Friday, June 13, 2008
Monday, March 31, 2008
TU Delft - CFD in drinking water treatment
TU Delft - CFD in drinking water treatment
CFD in drinking water treatment
According to the new Water Supply Act, the removal of micro-organisms in the purification of water must meet very stringent requirements. This means that the hydraulic flow of the water in purification systems such as ozonisation and UV-desinfection must also comply with very stringent requirements, since short-circuit flows must in no way occur as they strongly reduce the efficiency. The efficiency of peripheral facilities of sewer systems, at overflow locations, also strongly depend on the flow through the peripheral facility. The efficiency of peripheral facilities of sewer systems, at overflow locations, also strongly depend on the flow through the peripheral facility.In view of the large variation in hydraulic design of peripheral facilities, rationalisation seems to be called for. Finally, the number of breakdowns of sewage pumping-stations, an important cause of overflow, can be reduced by improving the hydraulic design of the pump pit, such that sediment can no longer accumulate at the inlet. So, these research projects focus on describing the flow in treatment plants, pump pits and peripheral facilities by means of CFD modelling.
Amsterdam Water Supply AWS of the Netherlands produces some of the cleanest drinking water in the world, almost 100 million cubic meters per year in fact. They take the water from the Rhine River and purify it in a 14-step process. During the ozone treatment, ozone gas reacts with particular micropollutants in a turbulent tank and inactivates pathogenic micro-organisms. In the perfect world, the water and the ozone gas mix and stay in the reactor just long enough to knock out the targeted pollutants. Dr. Jan Hofman of the AWS Research Planning and Development Department and his colleagues Dolf Wind and Rodolphe Janssens use FEMLAB with scattered flow meter data and tracer experiments to look inside and create the perfect world...more
CFD in drinking water treatment
According to the new Water Supply Act, the removal of micro-organisms in the purification of water must meet very stringent requirements. This means that the hydraulic flow of the water in purification systems such as ozonisation and UV-desinfection must also comply with very stringent requirements, since short-circuit flows must in no way occur as they strongly reduce the efficiency. The efficiency of peripheral facilities of sewer systems, at overflow locations, also strongly depend on the flow through the peripheral facility. The efficiency of peripheral facilities of sewer systems, at overflow locations, also strongly depend on the flow through the peripheral facility.In view of the large variation in hydraulic design of peripheral facilities, rationalisation seems to be called for. Finally, the number of breakdowns of sewage pumping-stations, an important cause of overflow, can be reduced by improving the hydraulic design of the pump pit, such that sediment can no longer accumulate at the inlet. So, these research projects focus on describing the flow in treatment plants, pump pits and peripheral facilities by means of CFD modelling.
Amsterdam Water Supply AWS of the Netherlands produces some of the cleanest drinking water in the world, almost 100 million cubic meters per year in fact. They take the water from the Rhine River and purify it in a 14-step process. During the ozone treatment, ozone gas reacts with particular micropollutants in a turbulent tank and inactivates pathogenic micro-organisms. In the perfect world, the water and the ozone gas mix and stay in the reactor just long enough to knock out the targeted pollutants. Dr. Jan Hofman of the AWS Research Planning and Development Department and his colleagues Dolf Wind and Rodolphe Janssens use FEMLAB with scattered flow meter data and tracer experiments to look inside and create the perfect world...more
Monday, March 17, 2008
Welcome to IEEE Xplore 2.0: A simplified CFD model for the radial blower
Welcome to IEEE Xplore 2.0: A simplified CFD model for the radial blower
A simplified CFD model for the radial blowerRoknaldin, F. Sahan, R.A. Sun, X.H. Appl. Thermal Technol. Inc., Santa Clara, CA, USA;
This paper appears in: Thermal and Thermomechanical Phenomena in Electronic Systems, 2002. ITHERM 2002. The Eighth Intersociety Conference onPublication Date: 2002On page(s): 600- 604ISSN: 1089-9870 ISBN: 0-7803-7152-6INSPEC Accession Number: 7425613Digital Object Identifier: 10.1109/ITHERM.2002.1012509Posted online: 2002-08-07 00:45:27.0
AbstractDetailed level Computational Fluid Dynamics (CFD) models for fans and radial blowers involve information about blade geometry, flow angles, blade rotational speed, and flow approach velocities. Accurate simulations of such models require large numbers of mesh points which is beyond the allocated time and available resources for engineering design cycles. When dealing with system or board level thermal analysis, where a fan or a blower is among many components to be modeled, a "macro" representation of a fan or a blower is preferred. A "macro" model for a fan is a plane surface that induces pressure across as the flow passes through it. The pressure-airflow relationship is taken from the fan curve provided by the fan manufacturer. A "macro" model for a radial blower is more involved because of the 90/spl deg/ flow turn inside the blowers housing and induced flow swirl caused by impeller blades. The need to capture the flow turn and induced swirl becomes more pronounced when simulating multiple interacting blowers inside a blower tray. In this paper, a systematic approach is presented to design the blower macro from the existing fan model. Icepak CFD results for the blower tray have been analyzed and compared with the experiments conducted at Applied Thermal Technologies Laboratory. Typical use of a three-fan blower tray in a system representing telecommunication applications is also presented.
A simplified CFD model for the radial blowerRoknaldin, F. Sahan, R.A. Sun, X.H. Appl. Thermal Technol. Inc., Santa Clara, CA, USA;
This paper appears in: Thermal and Thermomechanical Phenomena in Electronic Systems, 2002. ITHERM 2002. The Eighth Intersociety Conference onPublication Date: 2002On page(s): 600- 604ISSN: 1089-9870 ISBN: 0-7803-7152-6INSPEC Accession Number: 7425613Digital Object Identifier: 10.1109/ITHERM.2002.1012509Posted online: 2002-08-07 00:45:27.0
AbstractDetailed level Computational Fluid Dynamics (CFD) models for fans and radial blowers involve information about blade geometry, flow angles, blade rotational speed, and flow approach velocities. Accurate simulations of such models require large numbers of mesh points which is beyond the allocated time and available resources for engineering design cycles. When dealing with system or board level thermal analysis, where a fan or a blower is among many components to be modeled, a "macro" representation of a fan or a blower is preferred. A "macro" model for a fan is a plane surface that induces pressure across as the flow passes through it. The pressure-airflow relationship is taken from the fan curve provided by the fan manufacturer. A "macro" model for a radial blower is more involved because of the 90/spl deg/ flow turn inside the blowers housing and induced flow swirl caused by impeller blades. The need to capture the flow turn and induced swirl becomes more pronounced when simulating multiple interacting blowers inside a blower tray. In this paper, a systematic approach is presented to design the blower macro from the existing fan model. Icepak CFD results for the blower tray have been analyzed and compared with the experiments conducted at Applied Thermal Technologies Laboratory. Typical use of a three-fan blower tray in a system representing telecommunication applications is also presented.
Monday, February 25, 2008
CFD Blower Design Software - Technalysis' CAE Engineering - Passage Software
CFD Blower Design Software - Technalysis' CAE Engineering - Passage Software
Technalysis' CAE Expertise in Blower and Other Fluid Moving Equipment DesignPASSAGE® software is a proven predictor of flow performance in blowers and other fluid moving equipment. The method used for blower design focuses on analyzing the impeller and housing for flow improvement using 3D flow simulation results. The results from flow models of the impeller and housing are analyzed to determine the impact that blade and housing geometry has on the flow characteristics.
The flow characteristics of the housing are evaluated by analyzing velocity and pressure distribution inside the housing and the flow behavior around the tongue (cut off) area are analyzed. The major design parameters studied include pressure gain of the housing, areas where losses are occurring, the effectiveness of the tongue design, circulation inside the housing, and flow distribution at the housing exit. The combined performance of the blower wheel and housing are matched to optimize the performance of both components.
Technalysis furnishes design services to meet the objectives of your next blower requirement by:
Evaluating current blower performance
Establishing wheel and housing shape changes for performance improvement:
increased capacity
improved efficiency
reduced blower noise
Technalysis' CAE Expertise in Blower and Other Fluid Moving Equipment DesignPASSAGE® software is a proven predictor of flow performance in blowers and other fluid moving equipment. The method used for blower design focuses on analyzing the impeller and housing for flow improvement using 3D flow simulation results. The results from flow models of the impeller and housing are analyzed to determine the impact that blade and housing geometry has on the flow characteristics.
The flow characteristics of the housing are evaluated by analyzing velocity and pressure distribution inside the housing and the flow behavior around the tongue (cut off) area are analyzed. The major design parameters studied include pressure gain of the housing, areas where losses are occurring, the effectiveness of the tongue design, circulation inside the housing, and flow distribution at the housing exit. The combined performance of the blower wheel and housing are matched to optimize the performance of both components.
Technalysis furnishes design services to meet the objectives of your next blower requirement by:
Evaluating current blower performance
Establishing wheel and housing shape changes for performance improvement:
increased capacity
improved efficiency
reduced blower noise
Tuesday, January 29, 2008
Die Casting Simulation Software, heat transfer, solidification and distortion
Die Casting Simulation Software, heat transfer, solidification and distortion:
Technalysis offers:
Engineering services
Licensed software
Custom software development
Technology transfer option
Technalysis offers:
Engineering services
Licensed software
Custom software development
Technology transfer option
Mold Flow Software & Design - Compression - Injection Molding
Mold Flow Software & Design - Compression - Injection Molding: "Passage® Compression Software - Injection Molding - Filing Simulation - High-pressure In-mold Coating Simulation - Fiber Orientation for SMC"
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