• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Chemometrics and Intelligent Laboratory Systems >Modeling and optimization of ultrasonic devulcanization using the response surface methodology based on central composite face-centered design
【24h】

Modeling and optimization of ultrasonic devulcanization using the response surface methodology based on central composite face-centered design

机译：基于中心复合面心设计的响应面方法对超声波脱硫的建模和优化

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

The ultrasonic devulcanization of a ground tire rubber in a co-rotating twin-screw extruder was studied and optimized using the response surface methodology based on an experimental design. This approach allowed evaluating the influence on the process of four variables (ultrasonic amplitude, temperature, screw speed and flow rate). The devulcanization process was investigated using several responses, including crosslink density, gel fraction, complex viscosity of the devulcanizates and tensile strength, modulus and elongation at break of the revulcanizates. Regression models and response surfaces were obtained for each response. The results predicted by these models showed good agreement with experimental values. The ultrasonic amplitude was found to be the most effective variable influencing the devulcanization process and mechanical properties. In addition, an optimization was carried out through a desirability function approach, in order to define the combination of process parameters that maximizes the mechanical properties and minimizes the degradation of the tire rubber. (C) 2015 Elsevier B.V. All rights reserved.
机译：在同向双螺杆挤出机中研究了地面轮胎橡胶的超声脱硫过程，并根据实验设计，使用响应表面方法对其进行了优化。这种方法可以评估对四个变量（超声波振幅，温度，螺杆速度和流速）的影响。脱硫过程使用几种响应进行了研究，包括交联密度，凝胶分数，脱硫酚酸酯的复数粘度以及抗硫化剂的拉伸强度，模量和断裂伸长率。获得每个响应的回归模型和响应面。这些模型预测的结果与实验值显示出良好的一致性。发现超声振幅是影响脱硫过程和机械性能的最有效变量。另外，通过合意函数方法进行了优化，以便定义使机械性能最大化并使轮胎橡胶的降解最小化的工艺参数的组合。 （C）2015 Elsevier B.V.保留所有权利。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号