SAMG in Practice

MAGMA accelerates the simulation of die-cast parts

Discretizing a Formula One race car by a non-structured mesh. The image shows a single slice of the 3D grid.
© Sauber-Petronas / Fluent
Discretizing a Formula One race car by a non-structured mesh. The image shows a single slice of the 3D grid.

MAGMA GmbH is a specialist in computer simulations of casting processes which become increasingly important in the design of die-cast parts in engines and chassis, for instance. Because casting materials in vehicles are subject to large loads, casting processes must naturally satisfy high standards of reliability and reproducibility. Simulations help deliver detailed information about the behavior of die-cast parts in vehicles – such as possible consequences of residual stress.

MAGMA GmbH uses SAMG to accelerate their simulations. SAMG enables reductions in computing time by factors between two and ten. Thanks to this enormous acceleration, the customers of MAGMA GmbH can simulate more variations in the same amount of time, this way improving the process of optimizing the quality of their cast products.

ELSYCA: shorter simulation times for electrochemical processes

Simulation of electrochemical chroming of rims: Highly efficient numeric solution processes ­considerably accelerate industrial simulations.
© Elsyca
Simulation of electrochemical chroming of rims: Highly efficient numeric solution processes ­considerably accelerate industrial simulations.

ELSYCA is a company that specializes in the modelling, simulation and optimization of electrochemical processes, particularly etching and coating processes. In the automotive industry, simulation is done for coatings on wheel rims or combustion cylinders (metallization), and for the etching of direct-injection systems in diesel engines, among other things. SAMG is used in ELSYCA’s simulation code to solve linear equation systems, where it has replaced the PCG solver previously in use.

For metallization of wheel rims, for example, SAMG drastically accelerates the calculation time required: used to simulate a rack of eight rims and some 1.4 million unknowns, SAMG reduces the overall computation time by a factor of five.

In addition to accelerating simulations, SAMG has also enabled calculations for certain objects based on complex FE grid structures. Thanks to SAMG, ELSYCA now also simulates direct-injection systems for diesel engines – a feat that was out of reach with the earlier code and the PCG method.