

Although extensive research has been carried out on the understanding of the complex vulcanization process, the influence of reversion through exposure time and temperature on the vulcanization degree remains unclear. Therefore, the main aim of this study was a novel optimization approach that can help the industrial practitioners to select the optimal operating parameters, exposure time, and molding temperature, to achieve desired vulcanization degree of selected product. Spheres of four different diameters (2.5, 5, 10, and 20 cm) were selected as test geometry for simulation and optimization of rubber molding. Obtained vulcanization rheometer data for commercially available rubber blend (NR/SBR) were fitted by a new modeling approach, dividing vulcanization curve into two fitting sets: curing and reversion. The heat transfer equations for chosen geometry were coupled with proposed kinetic model. A new temperature-dependent kinetic parameter x, as the maximal reversion degree, was introduced, enabling determination of the lowest operating molding temperature (Tmin = 132.36 °C), preventing high reversion and overheating of the rubber product. The final optimization goal was assessment of the optimal temperature and vulcanization time dependence on the rubber products dimensions. Proposed models have precise prediction with R2 values greater than 0.8328 and MAPE less than 2.3099%. © 2021 Society of Plastics Engineers
| Engineering controlled terms: | Curve fittingHeat transferKinetic parametersKinetic theoryRubber moldingVulcanization |
|---|---|
| Engineering uncontrolled terms | Computer modelsExposure-timeKinetic (polym.)Kinetic modelsKinetics(polym.)Modeling and optimizationMolding temperatureNew approachesSimulationVulcanisation |
| Engineering main heading: | Rubber |
| Funding sponsor | Funding number | Acronym |
|---|---|---|
| Ministarstvo Prosvete, Nauke i Tehnološkog Razvoja | 451‐03‐68/2020‐14/ 200134 | MPNTR |
| Ministarstvo Prosvete, Nauke i Tehnološkog Razvoja | MPNTR |
The authors would like to acknowledge to the Ministry of Education, Science and Technological Development of the Republic of Serbia for their financial support, Project No. 451‐03‐68/2020‐14/ 200134.
Bera, O.; University of Novi Sad, Faculty of Technology Novi Sad, Bulevar cara Lazara 1, Novi Sad, Serbia;
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