With the "Function Finder" tool, you generate practical approximation functions based on two-dimensional value tables.
The typical applications are in the engineering-scientific area, e.g. when creating temperature-dependent material values. However, the tool is quite handy in all areas where parameter-dependent
functions are needed - in most cases it is much faster and easier than you think and the result is automatically documented.
For the development of the software "Heat Transfer Fluids - Properties and Comparisons" (formerly available from Vogel Communications Group/Vogel Fachbuch) all approximate functions that were not available from the literature or from manufacturers were generated with the Function Finder.
In addition to simple functional equations that are available practically at the push of a button, you can also carry out more
complicated approximations that require more calculation time and effort.
The goal is to always find an approximation function which deviations are minimal over the entire area of application so that it can be used for your requirements.
In the current version, the approximation function can be divided into up to 5 sections, so that significantly higher levels of accuracy can be achieved than would be possible with just one function.
The latest version of the program including the manual is in English and German language.
The following screenshots and video tutorials
give an idea of the program's handling. The screenshots are from the English version as well as the videos that are in English
language.
If you are interested in the program, please contact me (contact
form). I would be happy to provide you with non-binding approximation curves based on test data so that you see what you can expect.
Alternatively, I offer the generation of approximation functions as a service. Depending on the scope, I will send you the diagrams with original and approximate functions, including tabular
deviations, without obligation. If it meets your expectations, I will send you an offer to purchase the approximation functions.