Comparison of dynamic shear properties of styrene-butadiene vulcanizates filled with carbon black or polymeric fillers

• Published in: Journal of applied polymer science Vol. 73; no. 4; pp. 495 - 503
• Main Authors: Vieweg, S., Unger, R., Heinrich, G., Donth, E.
• Format: Journal Article
• Language: English
• Published: New York John Wiley & Sons, Inc 25.07.1999; Wiley
• Subjects: Applied sciences; carbon black; Composites; Exact sciences and technology; filled rubber; filler networking; Forms of application and semi-finished materials; Payne effect; Polymer industry, paints, wood; polymeric fillers; Technology of polymers; Particle size; SBR; Carbon black; Dynamic mechanical properties; Vulcanizate; Filled polymers; Butadiene polymer; Concentration effect; Size effect; Dispersion reinforced material; Experimental study
• ISSN: 0021-8995; 1097-4628
• DOI: 10.1002/(SICI)1097-4628(19990725)73:4<495::AID-APP5>3.0.CO;2-I

The dynamic shear behavior of SBR 1500 vulcanizates filled with polymeric fillers of 24.6, 40.2, and 74.7 nm diameter and various filler loading up to 100 phr (parts per 100 parts of rubber), and its dependence of strain amplitude up to 14%, have been investigated. The results are compared with carbon‐black‐filled vulcanizates. The reinforcement ability of polymeric fillers is comparable to that of carbon black, depending on filler particle diameter. As expected, the smaller particles have a higher reinforcement effect than larger particles. The Payne effect, that is, the decrease of storage shear modulus G′ with increasing strain amplitude and the appearance of a loss modulus G″ maximum at strains of a few percent, has also been observed in vulcanizates with polymeric fillers. The loss modulus maximum of vulcanizates filled with polymeric fillers is at higher strain amplitudes and is less pronounced than for carbon‐black‐filled vulcanizates. The results are discussed shortly in terms of recent models based on the idea of filler networking within the rubbery matrix. The experimental G′ data are adjusted with the deagglomeration–reagglomeration Kraus model (1984). © 1999 John Wiley & Sons, Inc. J Appl Polym Sci 73: 495–503, 1999