Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Identify the Mathematical Models Generated by the Table Curve 3 D Program

Version 1 : Received: 10 February 2022 / Approved: 11 February 2022 / Online: 11 February 2022 (08:35:16 CET)

How to cite: Mosnegutu, E.; Panainte-Lehadus, M.; Nedeff, V.; Tomozei, C.; Barsan, N.; Chitimus, D.; Jasinski, M. Identify the Mathematical Models Generated by the Table Curve 3 D Program. Preprints 2022, 2022020157 (doi: 10.20944/preprints202202.0157.v1). Mosnegutu, E.; Panainte-Lehadus, M.; Nedeff, V.; Tomozei, C.; Barsan, N.; Chitimus, D.; Jasinski, M. Identify the Mathematical Models Generated by the Table Curve 3 D Program. Preprints 2022, 2022020157 (doi: 10.20944/preprints202202.0157.v1).

Abstract

This article describes the methodology used to identify the mathematical model that describes the correlations between the input parameters of an experiment and the parameters being followed. As a technological process, the aerodynamic separation was chosen, respectively, the behavior of a solid particle within an ascending vertical airflow. The experimental data obtained were used to identify two parameters, the average linear velocity, and the angular velocity, and through the Table Curve 3D program was developed a mathematical model which describes the dependence between the input parameters (the shape and size of the solid particle and the velocity of the airflow) and the monitored parameters. In order to determine a single mathematical equation that describes as accurately as possible the correlation between the input variables and those obtained, a pyramid-type analysis was designed. The determination of the mathematical equation started from the number of equations generated by the Table Curve 3D program, then the equations with a correlation coefficient greater than 0.85 were chosen, and finally, the common equations were identified. Respecting the working methodology was identified one equation which has for the average linear velocity a correlation coefficient r2 between 0.88-0.99 and 0.86-0.99 for the angular velocity.

Keywords

mathematical models; Table Curve 3D; correlation coefficient

Subject

MATHEMATICS & COMPUTER SCIENCE, Numerical Analysis & Optimization

Comments (0)

We encourage comments and feedback from a broad range of readers. See criteria for comments and our diversity statement.

Leave a public comment
Send a private comment to the author(s)
Views 0
Downloads 0
Comments 0
Metrics 0


×
Alerts
Notify me about updates to this article or when a peer-reviewed version is published.
We use cookies on our website to ensure you get the best experience.
Read more about our cookies here.