Array-scale MUT simulations powered by the cloud

Design and optimize ultrasonic transducers – whether PMUT or CMUT – required large -scale precision.

However, traditional simulation approaches are often limited to individual cells or limited structures, leaving significant effects in the uncomfortable table until expensive and long tests begin.

This difference can cause longer development cycles and a higher risk of failing devices.

In this webinar, we will present the improved approach: silenced simulations on the scale of the full table with a fully coupled multiphysics.

By taking advantage of the native cloud platform of the cloud, engineers can model whole transduce networks with all relevant physical interactions (electricity, mechanical, acoustic and more) capturing behavior at the system such as beam models and diligence diapaces that cell simulations are not lacking.

The evolution of the cloud also allows an exploration of in -depth design.

Thanks to parallelization, users can perform Monte Carlo analyzes, parameter sweeping and large -scale models in a time fraction, allowing rapid optimization and higher speed in the design process.

This accelerates not only R&D, but provides more reliable conceptions before manufacturing.

The session will include examples of real world cases with detailed information from the methodology and key measures.

Participants will have a practical understanding of the way in which the table -scale simulation can considerably improve Mut design work flows, reducing dependence on expensive prototypes, minimizing risks and providing better device performance.

Join us to find out how mutual-scale simulations in the cloud can improve the precision of Mut’s design, efficiency and reliability.

Key learning for participants:

• How the complete simulations of PMUT and CMUT on the scale of the table capture the effects at the level of the system such as beam models and the diaphony.
• The ways of evolving clouds allow Monte Carlo studies, parameter scales and large -scale models with higher flow.
• Practical case studies in the real world, including key methodology and performance measures.
• The way in which simulation on the scale of the table improves accuracy, efficiency and reliability while reducing dependence on expensive prototypes.