Application of Response Surface Methodology to Optimize the Preparation of Rubber Foam Composite as Sound-Absorbing Material Using Scrap Rubber Powder
来源期刊：Journal Of Wuhan University Of Technology Materials Science Edition2019年第6期
论文作者：张相锋 ZHANG Jia CHENG Ziqiao
文章页码：1376 - 1383
摘 要：In this paper, scrap rubber powder（SRP）, azodicarbonamide（ADC） as foaming agent and double-component epoxy resins（ER） as binder were used to prepare porous sound-absorbing material of rubber foam composite（RFC） by hot-pressing process. Response surface methodology（RSM） was employed to evaluate three process variables, i e, specimen thickness（A）, ADC dosage（B） and foaming temperature（C）, and to establish two polynomial function model equation between sound absorption coefficient（α） and three process factors（A, B, C） at middle and low frequency 250 Hz, 500 Hz, 800 Hz, 1 000 Hz to determine the optimal preparation condition of RFC. The statistical analysis of results demonstrated that specimen thickness（A） exerted significant impact on sound absorption properties of RFC. And the optimum prepared condition of RFC was 10 mm specimen thickness, 3.00 g ADC dosage, and approximately 196 ℃ foaming temperature. Under optimal condition, sound absorption coefficient of RFC could reach 5.68%（250 Hz）, 7.67%（500 Hz）, 20.73%（800 Hz）, 18.71%（1 000 Hz）, coinciding with the predicted values 5.70%（250 Hz）, 7.69%（500 Hz）, 20.77%（800 Hz）, 18.74%（1 000 Hz） from the predicted polynomial function model, which exhibited that RSM could be used to optimize the preparation process of sound-absorbing materials.
张相锋1，ZHANG Jia2,3,4，CHENG Ziqiao5
1. School of Environment, Beijing Normal University5. Power China Road Bridge Group Co., Ltd
摘 要：In this paper, scrap rubber powder（SRP）, azodicarbonamide（ADC） as foaming agent and double-component epoxy resins（ER） as binder were used to prepare porous sound-absorbing material of rubber foam composite（RFC） by hot-pressing process. Response surface methodology（RSM） was employed to evaluate three process variables, i e, specimen thickness（A）, ADC dosage（B） and foaming temperature（C）, and to establish two polynomial function model equation between sound absorption coefficient（α） and three process factors（A, B, C） at middle and low frequency 250 Hz, 500 Hz, 800 Hz, 1 000 Hz to determine the optimal preparation condition of RFC. The statistical analysis of results demonstrated that specimen thickness（A） exerted significant impact on sound absorption properties of RFC. And the optimum prepared condition of RFC was 10 mm specimen thickness, 3.00 g ADC dosage, and approximately 196 ℃ foaming temperature. Under optimal condition, sound absorption coefficient of RFC could reach 5.68%（250 Hz）, 7.67%（500 Hz）, 20.73%（800 Hz）, 18.71%（1 000 Hz）, coinciding with the predicted values 5.70%（250 Hz）, 7.69%（500 Hz）, 20.77%（800 Hz）, 18.74%（1 000 Hz） from the predicted polynomial function model, which exhibited that RSM could be used to optimize the preparation process of sound-absorbing materials.
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