Designing and optimization of ultrasound transduers – whether PMuts or CMUTS -scale accuracy is required.
Nevertheless, traditional simulation approaches are often forced to individual cells or limited structures, except for the effects of important array level until expensive and time-consuming tests begin.
This difference can lead to high risk of growth cycles and failed equipment.
In this webinar, we will introduce better approaches: Mut simulation on full array-pamana with a fully coupled multifligics.
By taking advantage of the cloud-country platform of the Quansusiant, the engineers can model the entire transducer arrays with all the relevant physical interactions (electrical, mechanical, acoustic and more) system-level behaviors such as beam patterns and cross-cell simulation to the cross-cell simulation.
Cloud scalability also enables extensive design exploration.
Through parallelization, users can run monte carlo analysis, parameter sweep and large -scale models in a fraction of time, which can enable rapid adaptation in the design process and high throwput.
This not only accelerates R&D, but also ensures more reliable design before construction.
The session will be examples of the real -world case with a detailed insight of the functioning and the major matrix.
The attendees will gain practical understanding of how array-scal simulation can improve the dependence on expensive prototypes, reduce risk and improve device performance.
Array-Scal Mute Simulation in Cloud should join us to know how the mat design can improve accuracy, efficiency and reliability.
Major learning for attendees:
- How full array-scales PMut and CMUT simulation system-level effects such as beam patterns and cross-tracks.
- Cloud scalability enables large -scale models with scalability Monte Carlo studies, parameter sweep and high throwput.
- Practical insights from the study of real -world case including functioning and major performance metrics.
- How array-scal simulation improves accuracy, efficiency and reliability by reducing dependence on expensive prototypes.
