STUDY OF ABRASION OF RUBBER MATERIALS BY EXPERIMENTAL DESIGN, RESPONSE SURFACE AND ARTIFICIAL NEURAL NETWORK MODELING

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SHIVA MEHDI; HADADI AMIR HOSHANG; NAKHAEI ALIREZA; VARASTEH HOSSEIN

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Journal: Iranian Journal of Polymer Science and Technology Year:2015 | Volume:28 | Issue:3 Page(s): 197-209

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Information Journal Paper

Title

STUDY OF ABRASION OF RUBBER MATERIALS BY EXPERIMENTAL DESIGN, RESPONSE SURFACE AND ARTIFICIAL NEURAL NETWORK MODELING

Author(s)

SHIVA MEHDI | HADADI AMIR HOSHANG | NAKHAEI ALIREZA | VARASTEH HOSSEIN | Issue Writer Certificate

Keywords

RUBBERQ2

EXPERIMENTAL DESIGNQ2

STATISTICAL MODELSQ2

ARTIFICIAL NEURAL NETWORKQ2

ABRASION MECHANISMQ2

CRACK GROWTHQ2

Abstract

Effect of different formulation ingredients on the abrasion behavior, CRACK GROWTH and modulus of tire tread formulation was studied using two different case studies. In the first case study, the effect of the partial substitution of natural RUBBER by cis-butadiene and the content variation of oil and sulfur in the presence of modified clay was studied on the basis of central composite design experiment in a NR/SBR-based truck tire tread formulation. In the second case study, the effect of oil, sulfur and highly dispersible silica level was investigated via Box-Benken design experiment in a SBR/BR-based passenger tire tread formulation. In each study a suitable response surface model was developed on the basis of the data obtained using the EXPERIMENTAL DESIGN. ARTIFICIAL NEURAL NETWORK models with forwarding multi-layers were also developed to investigate the potential of the current approach in modeling of fracture behavior of RUBBER materials. It was observed that the complex dependency of the fracture/abrasion behavior of RUBBERy materials on formulation variations could be modeled with high accuracy through response surface and artificial neural models. The response surface profiles were developed to explain the abrasion behavior better. The observed behaviors for the abrasion of RUBBER formulations were also investigated with the aid of the modulus statistical analysis, deMattia CRACK GROWTH model and also the Fukahori and mechano-chemical abrasion theories. In the presence of high levels of cis-butadiene, the abrasion with the mechano-chemical mechanism is dominant. However, according to the Fukahori model, the mean amplitude strain has a key effect on the abrasion of RUBBERy materials.

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APA: Copy

SHIVA, MEHDI, HADADI, AMIR HOSHANG, NAKHAEI, ALIREZA, & VARASTEH, HOSSEIN. (2015). STUDY OF ABRASION OF RUBBER MATERIALS BY EXPERIMENTAL DESIGN, RESPONSE SURFACE AND ARTIFICIAL NEURAL NETWORK MODELING. IRANIAN JOURNAL OF POLYMER SCIENCE AND TECHNOLOGY (PERSIAN), 28(3), 197-209. SID. https://sid.ir/paper/6700/en

Vancouver: Copy

SHIVA MEHDI, HADADI AMIR HOSHANG, NAKHAEI ALIREZA, VARASTEH HOSSEIN. STUDY OF ABRASION OF RUBBER MATERIALS BY EXPERIMENTAL DESIGN, RESPONSE SURFACE AND ARTIFICIAL NEURAL NETWORK MODELING. IRANIAN JOURNAL OF POLYMER SCIENCE AND TECHNOLOGY (PERSIAN)[Internet]. 2015;28(3):197-209. Available from: https://sid.ir/paper/6700/en

IEEE: Copy

MEHDI SHIVA, AMIR HOSHANG HADADI, ALIREZA NAKHAEI, and HOSSEIN VARASTEH, “STUDY OF ABRASION OF RUBBER MATERIALS BY EXPERIMENTAL DESIGN, RESPONSE SURFACE AND ARTIFICIAL NEURAL NETWORK MODELING,” IRANIAN JOURNAL OF POLYMER SCIENCE AND TECHNOLOGY (PERSIAN), vol. 28, no. 3, pp. 197–209, 2015, [Online]. Available: https://sid.ir/paper/6700/en

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