基于BP神经网络优化制备化学改性脱硫灰/丁苯橡胶复合材料

doi:10.12034/j.issn.1009-606X.217431

过程工程学报 ›› 2018, Vol. 18 ›› Issue (5): 1088-1092.DOI: 10.12034/j.issn.1009-606X.217431

基于BP神经网络优化制备化学改性脱硫灰/丁苯橡胶复合材料

张浩^1,2,3*，高青¹，刘秀玉¹，刘影¹

1. 安徽工业大学建筑工程学院，安徽马鞍山 243032 2. 冶金减排与资源综合利用教育部重点实验室(安徽工业大学)，安徽马鞍山 243002 3. 安徽工业大学冶金工程学院，安徽马鞍山 243032

收稿日期:2017-12-21 修回日期:2018-01-29 出版日期:2018-10-22 发布日期:2018-10-12
通讯作者: 张浩 fengxu19821018@163.com
基金资助:
中国博士后科学基金资助项目;冶金减排与资源综合利用教育部重点实验室(安徽工业大学)资助项目

Optimizing preparation of chemical modified desulfurization ash/styrene butadiene rubber composite materials based on BP neural network

Hao ZHANG^1,2,3*, Qing GAO¹, Xiuyu LIU¹, Ying LIU¹

1. School of Civil Engineering and Architecture, Anhui University of Technology, Ma?anshan, Anhui 243032, China
2. Key Laboratory of Metallurgical Emission Reduction & Resources Recycling (Anhui University of Technology), Ministry of Education, Ma?anshan, Anhui 243002, China
3. School of Metallurgical Engineering, Anhui University of Technology, Ma?anshan, Anhui 243032, China

Received:2017-12-21 Revised:2018-01-29 Online:2018-10-22 Published:2018-10-12
Contact: ZHANG Hao fengxu19821018@163.com

摘要/Abstract

摘要： 以化学改性脱硫灰取代部分炭黑与丁苯橡胶复合制备化学改性脱硫灰/丁苯橡胶复合材料，运用均匀设计结合BP神经网络建立制备工艺参数与力学性能的BP神经网络优化模型，获得制备最优化学改性脱硫灰/丁苯橡胶复合材料的工艺参数，对最优复合材料进行了表征. 结果表明，最优化学改性脱硫灰/丁苯橡胶复合材料的制备参数为促进剂N-叔丁基-2-苯并噻唑次磺酰胺用量1.2 g、硫磺用量1.3 g、硬脂酸用量1.1 g、氧化锌用量2.4 g、硫化时间27 min，该条件下所制复合材料的拉伸强度为20.31 MPa、撕裂强度为45.68 kN/m、邵氏A硬度为66，最优实测值与最优模型预测值吻合较好，相对误差为3.03%~3.22%.

关键词: 化学改性脱硫灰, 丁苯橡胶, BP神经网络, 复合材料, 优化制备

Abstract: Chemical modified desulfurization ash/styrene butadiene rubber composite materials were prepared using chemical modified desulfurization ash replacing partial carbon black，BP neural network optimization model of preparation process parameters (amounts of accelerator, sulfur, amount of stearic acid, and zinc oxide and curing time) and mechanical properties were established by uniform design in a combination with BP neural network to acquire parameter of optimal chemical modified desulfurization ash/styrene butadiene rubber composite materials. Tensile properties of chemical modified desulfurization ash/styrene butadiene rubber composite materials were tested by referring to rubber, vulcanized or thermoplastic-determination of tensile stress-strain properties, tear strength of chemical modified desulfurization ash/styrene butadiene rubber composite materials were tested by referring to rubber, vulcanized or thermoplastic-determination of tear strength, hardness of chemical modified desulfurization ash/styrene butadiene rubber composite materials was tested by referring to rubber, vulcanized or thermoplastic-determination of indentation hardness, Duromerer method (Shore hardness) (trouser, angle and crecent test pieces). Microstructure of optimal chemical modified desulfurization ash/styrene butadiene rubber composite materials were observed by SEM, mineral composition of optimal chemical modified desulfurization ash/styrene butadiene rubber composite materials were analyzed by XRD. The results showed that the parameters of optimal chemical modified desulfurization ash/styrene butadiene rubber composite materials were amount of accelerator 1.2 g, amount of sulfur 1.3 g, amount of stearic acid 1.1 g, amount of zinc oxide 2.4 g and curing time 27 min. Mechanical properties of optimal chemical modified desulfurization ash/styrene butadiene rubber composite materials were tensile strength 20.31 MPa, tear strength 45.68 kN/m and Shore A hardness 66. The optimal measured values and the model optimal predictive values were in good agreement, the relative error was 3.03%?3.22%. The above research provides technical support and theoretical basis for the development of cheap inorganic filler which can replace partial carbon black.

Key words: chemical modified desulfurization ash, styrene butadiene rubber, BP neural network, composite materials, optimizing preparation

张浩高青刘秀玉刘影. 基于BP神经网络优化制备化学改性脱硫灰/丁苯橡胶复合材料[J]. 过程工程学报, 2018, 18(5): 1088-1092.

Hao ZHANG Qing GAO Xiuyu LIU Ying LIU. Optimizing preparation of chemical modified desulfurization ash/styrene butadiene rubber composite materials based on BP neural network[J]. Chin. J. Process Eng., 2018, 18(5): 1088-1092.

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基于BP神经网络优化制备化学改性脱硫灰/丁苯橡胶复合材料

Optimizing preparation of chemical modified desulfurization ash/styrene butadiene rubber composite materials based on BP neural network

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