Magment has launched a new web application MAGMATH, which for the first time ever, allows users to design cost-optimized Magment inductors.
Magment is an innovative, cost-efficient material: recycled magnetic particles are embedded in a cement matrix, yielding a flowable material with a high dc-bias capability, low losses, and mechanical robustness.
This allows for the design of rugged inductive components of any size and shape with a distributed air gap for minimized eddy current losses.
MAGMATH brings the inductor design experience straight to the user: he inputs electrical, dimensional and loss or temperature data straight into the intuitive user interface, and in a matter of minutes, receives an inductor tailored to his specifications, and optimized for cost.
The many available inputs allow the user to specify his design to a high degree, but the algorithm can generate a solution with just three pieces of information: nominal inductance and current LN and IN, and switching frequency, f.
MAGMATH implements a complex genetic global optimization routine that runs in the backend, which dynamically generates dimensions and other electrical specifications, while striving to keep losses and operating temperature low.