Application of BP Neural Network on PP/POE-g-MAH/PP Toughening PA6

doi:10.19491/j.issn.1001-9278.2011.12.015

China Plastics ›› 2011, Vol. 25 ›› Issue (12): 55-58 .DOI: 10.19491/j.issn.1001-9278.2011.12.015

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Application of BP Neural Network on PP/POE-g-MAH/PP Toughening PA6

Kun CHEN Tihe ZHENG Kedong SONG Xiangru TIAN Yu ZHANG

Received:2011-07-29 Revised:2011-10-12 Online:2011-12-26 Published:2011-12-26

Abstract

Abstract: The research of POE-g-MAH/PP toughening PA6 was conducted by BP neural network and homogeneous design in this paper. On this basis，a 3-layer BP neural network prediction model for composite between impact strength and the composition was established. The prediction by the model agreed well with the experiments. The impact strength of the toughening nylon6 reached 92.12kJ/m2 when the content of POE-g-MAH was 14.00% and PP content was 9.00%.

Key words: neural network, polyamide 6, polypropylene, toughen, maleic anhydride

Kun CHEN Tihe ZHENG Kedong SONG Xiangru TIAN Yu ZHANG. Application of BP Neural Network on PP/POE-g-MAH/PP Toughening PA6[J]. China Plastics, 2011, 25(12): 55-58 .

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Application of BP Neural Network on PP/POE-g-MAH/PP Toughening PA6

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