使用响应表面方法学,优化从使用过的布中提取化物的工艺参数和动力学
Perseverance Dzikunu1, Emmanuel Kwesi Arthur2, Emmanuel Gikunoo2
1Department of Materials Engineering, College of Engineering, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana; Department of Mechanical Engineering, Aalto University, Finland.
Journal of environmental management
|July 27, 2024
概括
这项研究利用统计建模优化了使用过的线 (SPL) 中的化物提取. 响应表面方法实现了87.49%的化物提取,确定了有效处理SPL的关键因素.
科学领域:
- 环境化学环境化学
- 化学工程是化学工程的重要组成部分.
- 材料科学 材料科学 材料科学
背景情况:
- 历史上,SPL处理的重点是提取危险化合物,特别是化物和化物.
- 在现有的文献中,从SPL中提取化物的优化和动力学研究没有得到充分的解决.
- 有效,经济有效和可持续的SPL治疗需要详细了解化物提取因子.
研究的目的:
- 在酸性环境中从SPL中进行化物提取的统计模型和优化.
- 通过收缩核心模型 (SCM) 研究化物提取的动力学.
- 确定影响化物提取效率的关键因素,并确定最佳处理参数.
主要方法:
- 响应表面方法 (RSM) 与中央复合设计 (CCD) 结合用于统计建模.
- 收缩核心模型 (SCM) 用于研究化物提取动力学.
- 阿雷尼乌斯图谱分析以确定激活能量和反应控制机制.
主要成果:
- 开发了一种具有高精度 (R2=0.986,Adj R2=0.973) 的二次方程模型.
- 在48.43°C,0.752毫米颗粒大小,1.2M酸度和10分钟时,达到87.49%的最佳化物提取率.
- 液膜扩散机制控制着化物提取动力学,其激活能量为36.26kJ/mol.
结论:
- 该研究提供了一种优化,统计验证的方法,用于从SPL中提取化物.
- 优化的参数确保了SPL的高效,可持续和具有成本效益的工业处理.
- 动力框架的集成为SPL治疗分析和优化提供了一种新的方法.
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