FAQs

Please contact sales@onscale.com for this information. 

For information about accepted payment methods, see the FAQ page of the main website.

If you're using Analyst, make sure you define the variable you want to sweep with the symbx command (not the symb command).

If you're using Designer, make sure you select the Varying checkbox in the Parameter Table when defining the variable that you want to sweep.

If you're using Analyst, make sure you define the variable you want to sweep with the symbx command (not the symb command).

Create a comma-separated values (CSV) file with your favorite editor (for example, Excel or Notepad++). The first row should contain the parametric variable names separated by commas. Each subsequent row represents a simulation with the defined variable values. Parametric variables must be declared using the symbx command in Analyst.

1. Hold Shift or Ctrl on your keyboard and then left-click the results that you would like to download.
2. Click Download or else use the right-click context menu to download the results to a local directory.

Speed

Ultrasonic simulations require a fine mesh across the full model and therefore can reach tens of millions of elements very easily, especially with full 3D models. This in turn requires a large computational effort to solve the problem in a reasonable (useful) time frame.

Our solver has been optimized for these types of problems and is orders of magnitude faster than legacy software, allowing users to complete simulations faster, to run more parametric sweeps, and also allowing more realistic setups with less approximations.

Memory efficiency

Large models have large RAM requirements. Our solver efficiency, much like our computational speed, is close to 1000x greater than more general purpose packages. This, coupled with our speed, allows you to explore greater complexity and detail in your designs.

Time-domain capabilities

Fundamentally our solver technology is based in the time domain with all features built around this methodology. As a result we work with analog signals (waveforms varying over time) that directly correlate with real-world signals. This let you recreate experimental setups directly in the software to get like-for-like datasets out.

Coupling of domains

All physics are coupled seamlessly into the one simulation and do not require complex boundary setups or element types to handle multiple domains such as fluid and elastic materials. Simply enter the correct properties for your material and the solver will do the rest.

Parallelization

From day one a requirement of the core solver was for it to be deployable on HPC/distributed computer networks. The solver was written to work on the most challenging numerical problems facing the US government at the time, and these problems were very large in terms of simulation resource (RAM, number of elements). Problems such as progressive collapse of buildings and large-scale wave propagation (blast, impact) had to be solved on 1980s computer hardware.

As a result, with today's computer technology, we can solve realistic system configurations in the time domain that our competitors simply cannot (sensor, array, substrate, encapsulant, environment).

True multiphysics in the time domain

Multi-stage simulation setup to capture unique boundary conditions is a requirement for disparate solver types. For example, setting up a static electrostatic solution, to couple into a structural solution, to then couple into an acoustic solution. Our solver simplified this and handles this automatically.

Harmonic analysis

From a single time-domain simulation, you can extract frequency-domain responses for any frequency. The added advantage of this approach over an eigenfrequency approach is that we inherently capture damping and coupling effects. This gives a "true" modal response of the system, rather than an eigen solution that merely indicates where modes may exist but does not fully present their impact.

Real-world results

OnScale can be thought of as a virtual experiment. We generate the same metrics that engineers would gain from an experimental setup. Key performance indicators (KPIs) such as electrical impedance, bandwidth, directivity, sensitivity, pulse-echo response, and many more are available directly from a single simulation.