A graphical user interface software called GURU suitable to fit rheometer curves in Natural Rubber (NR) sulphur vulcanization is proposed. Experimental data are loaded using Excel (experimental output comes from a moving die rheometer registration), normalized and fitted with a numerical model that follows the general scheme proposed by Han. Han,s chemical model translates into mathematics by means of a first order ODE system, admitting a closed form solution for the crosslinking density. Three kinetic constants characterize the model and they must be found in such a way to minimize the absolute error between normalized experimental data and numerical predictions. GURU works to minimize the error by means of a trial and error procedure handled interactively by means of sliders, assigning a value for each kinetic constant and a visual comparison between numerical and experimental curves. An experimental case of technical relevance is shown as benchmark.

Interactive GUI software for natural rubber vulcanization degree numerical prediction

MILANI, GABRIELE;
2016-01-01

Abstract

A graphical user interface software called GURU suitable to fit rheometer curves in Natural Rubber (NR) sulphur vulcanization is proposed. Experimental data are loaded using Excel (experimental output comes from a moving die rheometer registration), normalized and fitted with a numerical model that follows the general scheme proposed by Han. Han,s chemical model translates into mathematics by means of a first order ODE system, admitting a closed form solution for the crosslinking density. Three kinetic constants characterize the model and they must be found in such a way to minimize the absolute error between normalized experimental data and numerical predictions. GURU works to minimize the error by means of a trial and error procedure handled interactively by means of sliders, assigning a value for each kinetic constant and a visual comparison between numerical and experimental curves. An experimental case of technical relevance is shown as benchmark.
2016
SIMULTECH 2016 - Proceedings of the 6th International Conference on Simulation and Modeling Methodologies, Technologies and Applications
9789897581991
9789897581991
Experimental Data Fitting; GUI Optimization Software; Kinetic Numerical Model; Natural Rubber (NR) Vulcanization; Modeling and Simulation; Computational Theory and Mathematics; Computer Science Applications1707 Computer Vision and Pattern Recognition; Information Systems
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11311/1001463
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