Virág, Lilla and Egedy, Attila and Varga, Csilla and Erdős, Gergely and Berezvai, Szabolcs and Kovács, László and Ulbert, Zsolt (2024) Determination of the most significant rubber components influencing the hardness of natural rubber (NR) using various statistical methods. HELIYON, 10 (3). No.-e25170. ISSN 2405-8440
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Abstract
Manufacturers use a large number of components in the production of modern rubber products. The selection of the constituents of the rubber recipe is primarily determined by the purpose of use. The different fields of applications of rubbers require the presence of appropriate mechanical properties. In this respect, it can be useful to know which substances forming the rubber recipe have significant influence on the different mechanical properties. In this study, the statistical analysis of the influence of rubber components on the hardness of natural rubber (NR) is proposed based on literature review. Based on the literature data, various statistical analyses, like linear regression, constrained linear regression, Ridge regression, Ridge sparse regression and binary classification decision trees were performed to determine which rubber components have the most significant effect on the hardness. In the statistical analyses, the effect of a total of 42 constituents of rubber compound on hardness was investigated. Most of the applied statistical methods confirmed that the traditional frequently used rubber components, such as carbon black and sulfur, have a primary effect on the hardness. However, the substances forming the rubber compound that are not widely used in practice or newly developed components appear differently in the lists of significant additives obtained by the different statistical methods.
| Item Type: | Article |
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| Additional Information: | Department of MOL Hydrocarbon and Coal Processing, Research Centre for Biochemical, Environmental and Chemical Engineering, Faculty of Engineering, University of Pannonia, Egyetem Str. 10, Veszprém, H8200, Hungary Department of Process Engineering, Research Centre for Biochemical, Environmental and Chemical Engineering, Faculty of Engineering, University of Pannonia, Egyetem Str. 10, Veszprém, H8200, Hungary Sustainability Solutions Research Lab, Research Centre for Biochemical, Environmental and Chemical Engineering, Faculty of Engineering, University of Pannonia, Egyetem Str. 10, Veszprém, H8200, Hungary ECon Engineering Kft, Kondorosi út 3, Budapest, H1116, Hungary Department of Applied Mechanics, Faculty of Mechanical Engineering, Budapest University of Technology and Economics, Műegyetem rkp. 3., Budapest, H-1111, Hungary Export Date: 18 March 2024 Correspondence Address: Virág, L.; Department of MOL Hydrocarbon and Coal Processing, Egyetem Str. 10, Hungary; email: virag.lilla@mk.uni-pannon.hu |
| Uncontrolled Keywords: | Natural rubber, Shore a hardness statistical analysis, Linear regression t-test, Ridge regression, Binary decision tree |
| Subjects: | T Technology / alkalmazott, műszaki tudományok > T2 Technology (General) / műszaki tudományok általában T Technology / alkalmazott, műszaki tudományok > TP Chemical technology / vegyipar, vegyészeti technológia |
| SWORD Depositor: | MTMT SWORD |
| Depositing User: | MTMT SWORD |
| Date Deposited: | 20 Sep 2024 07:03 |
| Last Modified: | 20 Sep 2024 07:03 |
| URI: | https://real.mtak.hu/id/eprint/205307 |
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