In this blog post I will describe how to get started choosing your solver, tolerance and output interval in Dymola. We also published another blog post on the subject of tolerance should you wish to learn more detail in this area: A closer look at solver tolerance Figure 1....
A few weeks back, I was pondering what to write this blog post about. I’m often drawn to thinking about how we define simulation models in terms of building them, in terms of overall philosophy and approach. Unsurprisingly as an engineer, I played with Lego a lot when growing...
A month ago I saw a news article about the re-discovered remains of an experimental aircraft catapult that was unearthed just outside oxford. As I read I thought it would be an interesting combination of realms of simulation that we could easily model and set myself a challenge to...
You may have been lucky and your IT department wants to update your PC, or you may have been unlucky and your PC has died; either way this means you will need to move Dymola to your new PC. In this blog post I’m going to go through what...
Setting up software licensing mechanisms sometimes feels like the biggest source of frustration in my life. (I’m only halfway joking…) With that said, we at Claytex attempt to minimize this pain. As you likely realize, software licensing is one of the necessary evils in the life of a commercial...
Previously on the Claytex Tech blog, we introduced the MultiRun tool, and ran through how to get the tool set up and running. Based on a similar concept to the Regression Tool, MultiRun supports the automated parallelised running of Dymola models on a machine. What this means is that...
This post is a quick guide for installing our Claytex application libraries on a Windows machine. If you have been provided with a link for an installer for our libraries please download the installer onto your computer. Please remember that any download link we send you will only be...
With the exponential introduction of autonomy, especially in vehicles, comes the increased need to test controllers under edge case scenarios. AVSandbox deals with edge cases in the environment around a vehicle; but there also needs to be consideration of edge cases within the vehicle; particularly to test and train...
I was recently asked to build out a set of drag racing simulation models in Dymola, utilizing the VeSyMA suite of Modelica libraries, that could be used as a demo to show prospective drag racing customers. After all, we haven’t seen much penetration of simulation into this market, and...
This blog post will discuss the effectiveness of some Machine Learning (ML) models in the context of training Autonomous Vehicles (AVs) as well as how to overcome some of their drawbacks. For a long time, ML has been used to detect and extract meaningful patterns from data sets, with...
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