With OnScale, full 3D Piezoelectric Micromachined Ultrasonic Transducer (PMUT) array simulations can be carried out. While single cell results are useful, the ideal workflow would go much further. OnScale’s ability to solve large problems allows engineers to move beyond an initial single cell model and help to consider the effect of full array configurations. Using PMUT’s as an example, designers are now using OnScale to simulate PMUT arrays with the full display stack up, allowing them to assess the impact of manufacturing tolerances on imaging arrays.

In this article, we will discuss the different Key Performance Indicators for devices and how these can be extracted in OnScale using Review.

Acoustic measurements based on guided sonic and ultrasonic wave propagation in multilayered structures are used for several different applications in the Oil and Gas (O&G) industry. One of these applications is borehole sonic logging where the propagation characteristics of these waves are recorded and analyzed as function of well bore depth. Petrophysicists can then develop methods to use these real-time measurements to estimate porosity, permeability, formation mechanical properties, fracture & lithology identification, stresses in thin layers, and borehole integrity. These inversion methods for analyzing sonic measurements are based on high fidelity, physics-based models and signal process algorithms to provide engineers reliable information so that they can make informed decision on the availability and safe production of hydrocarbons in an optimal time frame. The physics-based models that are required to generate the necessary synthetic data sets in real-time are computationally intensive, both in time and memory (RAM) This limits their integration into an integrated workflow that will help an engineer make informed decisions in real-time based on these sonic measurements. OnScale have developed fast time domain multiphysics FEA solvers and seamlessly integrated them with cloud high performance compute (HPC) capabilities that addresses these constraints. Further, OnScale can execute massively parallel simulations with an almost linear scalability, allowing users to consider problems far in excess of anything previously attainable from legacy FEA packages

Geometry is the basic building block of any simulation, and while you can create models natively in OnScale, you may also decide to use an external geometry source. CAD tools provide focused and streamlined workflows for creating complex geometry and if you've already designed a model in another tool it can be quicker to use this geometry instead of recreating it in OnScale.

Let us provide you with a very simple definition first to get things clear. Certain materials tend to accumulate electric charges when a mechanical stress is applied to it. The piezoelectric effect is an effect that simply describes the fact that a pressure applied to a piezoelectric material will generate a voltage.

In this article we discuss how to pole piezoelectric materials in OnScale and walk through an example of how to rotate the material properties of Lithium Tantalate for the Y-cut angle in an LT-SAW.

In 1880 brothers Pierre Curie and Jacques Curie were working as laboratory assistants at the Faculty of Sciences of Paris. They discovered that applying pressure to crystals such as quartz, tourmaline and Rochelle salt generates electrical charges on the surface of these materials. This conversion of mechanical energy into electrical energy is called the direct piezoelectric effect. “Piezo” is derived from the Greek for “to press”.

In Part 1 of this Blog Tutorial we provided a more theoretical example of piezoelectric equations and the important coefficients to know.

Obtaining the correct piezoelectric material properties from a manufacturer datasheet and transforming those properties into the correct format for simulation can be a hassle.

In this article we discuss Genetic Algorithm (GA) optimization for a Solid Mounted Resonator (SMR) design using OnScale Command Line Interface (CLI) and MATLAB Optimization Toolbox.