Model and analyze complex Piping Systems with 1D CFD Simulation
Simcenter Flomaster is the leading simulation tool for fluids engineering that helps you reduce operating costs while ensuring the safety of complex thermo-fluid piping systems of any scale and complexity. With Simcenter Flomaster you can effectively size gas, liquid, and two-phase systems and components to achieve maximum efficiency or evaluate the effect of transient scenarios such as the water hammer effect.
Simcenter Flomaster enables any engineer to make informed system design decisions earlier in the design process, by creating a Digital Twin of the system that can also be reused during operation for virtual sensing and online monitoring to improve efficiency and ensure safety.
Why choose Simcenter Flomaster for Analysis of complex Piping Systems?
30 years leader in the market
Flomaster provides the most extended library of components, that contains more than 400, ready-to-use items, based on repeatable and validated experimental measures of pressure losses, taken by Don Miller and his group.
Fastest transient solver in the market
The demonstrated accuracy of the Flomaster transient solver, allows engineers to calculate parameters such as water hammer pressure in order to reduce risks associated to the project, and to ensure compliance with regulations, and the overall safety of the system.
Easy to use and focused on the efficiency
The intuitive, engineer-oriented interface guides the user through the modeling and analysis process. Focused on the efficiency of the design process, Flomaster includes quick automated parametric analyses and pipe import models from CAD solutions.
1D-3D modeling for more accurate simulations
Exporting a Flomaster model as a Functional Mockup Unit allows performing co-simulations, capable of accounting for interactions between the thermo-fluid system and other systems, such as with Simcenter FLOEFD for 1D-3D modeling.
The Digital Twin of the System made easy
Creating the Digital Twin of a thermo-fluid system is a typical task that goes very well with Flomaster, at all dimensional scales. In this first example, a 3D CAD representation of the system is available, so it is possible to automatically create the Digital Twin, thanks to the connectivity to a 3D CAD. The automatic abstraction of the 3D geometry reduces the time for creating the Digital Twin by up to 95%.
In a second example, we can see the Digital Twin of the water system of an airport, analyzed and designed with Simcenter Flomaster. Water systems are not like cars or planes for which you can build prototypes or iron-birds. There is no room for prototypes, the system must be right from the beginning. This is where the Digital Twin creates real value. The hydraulic dynamic model created in the ideation phase is connected to the control and automation model. Both these models can be run simultaneously by means of an operator dashboard. This is called “Virtual Commissioning”. This allows you to operate the system in a completely virtual environment. Allowing you to explore its response to different conditions before it is even built. This technology also allows to create an effective operator training tool which improves the knowledge transfer between engineers and operators.
From scientific research to software: the outcome of Miller’s “Internal Flow Systems”
Flomaster – previously called Flowmaster – was originally based on extensive experimental validation data from D. S. Miller’s internationally respected scientific textbook, ‘Internal Flow Systems’, first published in 1978. As Research Director at the British Hydromechanics Research Association (BHRA), Donald Stuart (‘Don’) Miller carried out numerous important studies with the objective of improving the design of fluid systems. His fields of research included topics such as interactions between fluid system components and fluid transients in pipeline systems. In analyzing pressure loss coefficient data from hundreds of sources Miller determined that in order to maximize the value of the published data it was necessary to classify it according to its reliability and suitability for engineering design. The result of his work was the classification system he used in Part Two of ‘Internal Flow Systems’. Loss coefficient data included in his book were verified, as far as possible, against experiments at BHRA and/or the work of a number of groups around the world that had contributed experimental results over an extended period.
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