Optimizing the physical parameters to achieve maximum products from co-liquefaction using response surface methodology
Optimizing the physical parameters to achieve maximum products from co-liquefaction using response surface methodology
复制标题
DOI：
10.1016/j.fuel.2017.06.077
复制
发表时间：
2017-11-01
期刊：
影响因子：
7.4
通讯作者：
Ismail, Khudzir
中科院分区：
文献类型：
--
作者：
Hassan, Siti Nur Ain Mohd;Ishak, Mohd Azlan Mohd;Ismail, Khudzir
在这项研究中，橡胶籽仁（RSK）的Mukah Balingian（MB）煤的影响进行了调查。在管式反应器中，以四氢萘为溶剂，在不同的物理参数下进行共液化。研究了RSK配比、反应温度和反应时间对转化率和产物分布的影响。本文旨在发展一种有效的方法，以找到最佳的条件，最大限度地提高共液化转化率和产品的响应面法（RSM）。根据Box-Behnken设计实验计划实验。以RSK配比、反应温度和反应时间为工艺参数，采用响应面法建立了共液化产物的数学模型。所开发的RSM模型是为了确定影响每个结果的最佳工艺条件。本研究的结果表明，所提出的响应面技术设法找到最佳的物理条件，这导致转换性能的最大值。(C)2017爱思唯尔有限公司版权所有
In this study, the influence of rubber seed kernel (RSK) on Mukah Balingian (MB) coal was investigated. Co-liquefaction was performed in a tubing reactor with tetralin as the solvent at various physical parameters. The study focused on the effects of RSK weight ratio, temperature and reaction time on conversion and products distribution. This paper aims at developing an effective methodology to find the optimum conditions that maximize the co-liquefaction conversion and products by using response surface methodology (RSM). Experiments were planned as per Box-Behnken design experiments. The mathematical model for the co-liquefaction products was developed using RSM with blending the ratio of RSK, temperature, and reaction time as process parameters. The developed RSM model is to determine the optimal process conditions that affect each of the outcomes. The results of this study revealed that the proposed RSM technique managed to find the optimum physical condition, which leads to the maximum value of conversion performance. (C) 2017 Elsevier Ltd. All rights reserved.