
Research on Multi-Objective Formulation Optimization of High-Performance EPDM Rubber Based on Grey Correlation Analysis
ZHAN You-ji, ZHANG Meng-meng, ZHENG Tian-qing, XU Yong-chao, XIA Yong-feng
Research on Multi-Objective Formulation Optimization of High-Performance EPDM Rubber Based on Grey Correlation Analysis
Ethylene propylene diene monomer (EPDM) rubber has good weather resistance, ozone resistance, water resistance, and chemical corrosion resistance. In order to increase the tensile strength of EPDM rubber to>10 MPa and the compressive strain (100 ℃× 22 HR)≤30%, volume change rate<10% to meet industrial needs, the article takes EPDM rubber as the research object, selects raw rubber Mooney viscosity, operating oil viscosity, filler type and filler dosage as process parameters for orthogonal test, prepares vulcanized rubber under different formulations through experimental methods, and measures its physical properties. On this basis, the range analysis method is used to determine the primary and secondary effects of process parameters on performance indicators. Subsequently, the experimental data is simplified using multiple indicators based on grey correlation theory. The results show that when using Langsheng 6950 as raw rubber, P600 as operating oil, and 30 phr of N774 as filler, the tensile strength of EPDM rubber is 13 MPa, the compressive strain is 30.26%, and the volume change rate is 2.8%.
EPDM rubber / Grey correlation theory / Multi-objective optimization
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