PARTICLE-BASED COMPUTER SIMULATIONS
Computer simulations are recognized tools that are well-established in most areas of engineering. Nonetheless, simulation-based analysis and optimization of machines, systems or individual components is far from old hat. The continued dynamic in the development of computer technology keeps requiring new software solutions to facilitate simulation scenarios of continually growing complexity. All of a sudden things are possible which, only a short time ago, seemed unreachable or far too complicated.
New approach as addition to well-established methods
Particle-based computer simulation is a relatively new approach, which has, in only a short time, made a name for itself in many areas of engineering. Particle-based approaches to simulation are a welcome addition to well-established methods and therefore fill a gap in the tool box of simulation engineers. They make it possible to virtually recreate events in which a large number of individual components, elements or particles are moving highly dynamically. Their areas of application extend from fundamental physics, using molecular dynamic methods, to very production oriented simulations of machining or conveying processes. With its software Pasimodo®, and its array of services, Inpartik offers a large spectrum of particle-based simulation approaches.
The term particle-based computer simulation requires some explanation because it doesn’t refer to one method, but instead to a general approach to modelling in which matter is represented by dots or small elements. So depending on the type of simulation method used the term particle can have very different meanings. Thus particles may represent real, existing components, like stamped metal parts, which are moved or processed in large quantities. Such situations are typically simulated using the Discrete Element Method (DEM).
n other applications the term particle may also refer to the virtual representation of small quanta of matter. For this type of approach, which is, for example, used for computational fluid dynamics, in the simulation model small parts of fluid or solid media are combined into artificial units of limited space, the particles. All particles together then make up the simulated medium fluid, gas, or also deformable solid bodies. Using Smoothed Particle Hydrodynamics Method (SPH) , such simulations can then, e.g., analyze the sloshing behavior of liquids when filled into containers, but also optimize machining processes of metal components.
In addition to the methods already described, the software Pasimodo® also provides a number of other approaches to particle simulations. Several of the described methods can be used together as part of the same simulation. This makes it possible to also model complicated processes. Thus it might be necessary to couple several methods to simulate solid particles moved by liquids. Moreover, in some cases it is even necessary to couple such simulations with other, external simulation tools like Multibody Dynamics (MBS), in order to solve even more complex problems.
DISCRETE ELEMENT METHOD (DEM)
DEM makes it possible to compute the moving behavior of a very large number of objects. These are called discrete elements or particles. Their uses range from modelling the ground conditions on other planets...read more
SMOOTHED PARTICLE HYDRODYNAMICS (SPH)
SPH method is a modern approach to simulating fluid or gas dynamics. In addition to fluid simulations it also makes it possible to virtually analyze complex deformation or seperation processes, like the ones occurring when metal components are machined. For such machining processes...read more
MULTIBODY SIMULATION (MBS)
Unlike the methods already described, Multibody Simulation is not a particle method, even though it has a lot in common with these methods...read more
HIGH PERFORMANCE COMPUTING (HPC)
Particle simulations make it possible to observe dynamic processes in great detail. In order to do that it is often necessary to divide the simulated medium very finely, into very many particles. There are several reasons for that which also depend on the type of simulation method used. For simulating granular media using the...read more