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Measurement and Modelling of the Rubber Resilience based on Ultrasonic Nondestructive Testing in Tires | ||
| AUT Journal of Modeling and Simulation | ||
| مقاله 8، دوره 50، شماره 2، اسفند 2018، صفحه 165-170 اصل مقاله (668.29 K) | ||
| نوع مقاله: Research Article | ||
| شناسه دیجیتال (DOI): 10.22060/miscj.2018.14543.5109 | ||
| نویسندگان | ||
| A. Foorginejad* 1؛ M. Taheri2؛ Nader Mollayi3 | ||
| 1Department of Mechanical Engineering, Birjand University of Technology, Birjand, Iran | ||
| 2Department of Mechanical Engineering, University of Birjand, Birjand, Iran | ||
| 3Department of computer engineering, Birjand university of technology, Birjand, Iran | ||
| چکیده | ||
| In tire industry, it is very crucial to evaluate physical and mechanical properties of rubbers which are used for production of tires, to ensure the quality of the final product. Resilience is an important property of a rubber, which cannot be evaluated through direct measurement in production cycle in this industry. Therefore, non-destructive ultrasonic testing, which has been used in many applications for examination of various material properties, can be used as an alternative approach for this purposes. In this study, the non-destructive ultrasonic testing method has been employed to investigate the resilience of nanoclay reinforced rubber compounds. By changing physical and mechanical properties of materials, ultrasonic wave velocities are changed. For this purpose, sixteen different samples of nanoclay reinforced rubber compounds with different formulations were prepared and both their resilience and the longitudinal ultrasonic wave velocity through them were measured. In the next step, using the relevance vector machine regression analysis, a mathematical expression for the rubber resilience based on the longitudinal ultrasonic wave velocity was developed, which was proven to be qualified with acceptable accuracy and generalization capability. The results of this research can be used for online evaluation of the rubber resilience in tire production cycle. | ||
| کلیدواژه‌ها | ||
| Resilience؛ Non-destructive Ultrasonic Testing؛ Tire industry؛ Longitudinal Ultrasonic Waves’ Velocity؛ Relevance Vector Machine | ||
| مراجع | ||
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[1] H. ATASHI, M.K. SOBHAN, M. Shiva, Improvement of physical and mechanical properties of butadiene rubber with silica/shane reinforcement system, (2004). [2] M. Ahmadi, R.J.U.v.T.-i.P. Yazdani, Surveying the Influence of Reclaimed Rubber and Rubber Powder on Physical, Dynamical and Processing Properties of NR/ BR Compound, 21(3) (2008) 217-223. [3] T. Yılmaz, B. Ercikdi, K. Karaman, G.J.U. Külekçi, Assessment of strength properties of cemented paste backfill by ultrasonic pulse velocity test, 54(5) (2014) 1386-1394. [4] G. Vasconcelos, P.B. Lourenço, C. Alves, J.J.U. Pamplona, Ultrasonic evaluation of the physical and mechanical properties of granites, 48(5) (2008) 453-466. [5] H.A. Afifi, A.M.J.P.b. El Sayed, Ultrasonic properties of ENR-EPDM rubber blends, 50(1-2) (2003) 115-122. [6] M.A.J.M. El-Hadek, M.T. A, Fracture mechanics of rubber epoxy composites, 45(9) (2014) 4046-4054. [7] D. Hourston, I.J.P. Hughes, Dynamic mechanical and sonic velocity behaviour of polystyrene-poly (vinyl methyl ether) blends, 19(10) (1978) 1181-1185. [8] S. Varghese, J.J.P. Karger-Kocsis, Natural rubber-based nanocomposites by latex compounding with layered silicates, 44(17) (2003) 4921-4927. [9] N.A. Hocine, P. Médéric, T.J.P.T. Aubry, Mechanical properties of polyamide-12 layered silicate nanocomposites and their relations with structure, 27(3) (2008) 330-339. [10] H. Dennis, D. Hunter, D. Chang, S. Kim, J. White, J. Cho, D.J.P. Paul, Effect of melt processing conditions on the extent of exfoliation in organoclay-based nanocomposites, 42(23) (2001) 9513-9522. [11] M. Lopez‐Manchado, B. Herrero, M.J.P.I. Arroyo, Preparation and characterization of organoclay nanocomposites based on natural rubber, 52(7) (2003) 1070-1077. [12] J.-B. Donnet, E. Custodero, Reinforcement of elastomers by particulate fillers, in: Science and technology of rubber, Elsevier, 2005, pp. 367-400. [13] W. Hofman, M. Adams, Rubber technology handbook: Hanser Publishers, 1989, ISBN 3-446-14895-7, DM 86.00, in, Elsevier, 1994. [14] G.J.R.C. Kraus, Technology, Interactions of elastomers and reinforcing fillers, 38(5) (1965) 1070-1114. [15] B. Hull, V. John, Non-destructive testing, (1988). [16] C.M. Bishop, Pattern recognition and machine learning, springer, 2006. [17] C. Cortes, V.J.M.l. Vapnik, Support-vector networks, 20(3) (1995) 273-297. [18] D. Meyer, F. Leisch, K.J.N. Hornik, The support vector machine under test, 55(1-2) (2003) 169-186. [19] M.E. Tipping, The relevance vector machine, in: Advances in neural information processing systems, 2000, pp. 652-658. [20] M.E.J.J.o.m.l.r. Tipping, Sparse Bayesian learning and the relevance vector machine, 1(Jun) (2001) 211-244. [21] D.J.J.N.A.S.F.C. MacKay, S. Sciences, Introduction to Gaussian processes, 168 (1998) 133-166. [22] M.E. Tipping, Bayesian inference: An introduction to principles and practice in machine learning, in: Advanced lectures on machine Learning, Springer, 2004, pp. 41-62. [23] M.E. Tipping, SPARSEBAYES V1. 1: A baseline MATLAB implementation of sparse bayesian model estimation, in, 2009. | ||
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