利用响应面法研究了机械变量对大豆生物柴油生产的影响

Wedja Timóteo Vieira, Rafaela Gabriel, Karla Raphaela Braga de Melo, Lívia Maria de Oliveira Ribeiro, João Inácio Soletti, Sandra Helena Vieira de Carvalho
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引用次数: 0

摘要

生物柴油是一种从可再生资源如植物油、动物脂肪或残油中提取的燃料。虽然它是一种潜在的能源,但这种燃料的生产效率取决于几个因素,包括与反应的搅拌和混合过程有关的变量。这些变量的合理选择可以避免涡流的形成,有利于流动方向和混合物的均匀性,从而有助于提高生物柴油的产量。在此背景下,本研究通过对叶轮(叶片-涡轮)、搅拌速度(150 - 300转/分)和挡板(带-不带)等参数的分析,研究了搅拌和混合对大豆生物柴油生产的影响。为此,对甲基和乙基路线进行了2³析因实验设计。在反应中,油醇摩尔比、催化剂用量、反应时间和反应温度是固定的。实验结果表明,通过甲基途径的反应收率较高(大于93%)。通过统计分析,也验证了挡板的存在和涡轮叶轮的使用是分别对甲基路线和乙基路线具有较大统计意义的变量。这些结果表明,尽管反应条件保持不变,但所考虑的变量对反应的产率有显著影响,这进一步表明只有控制搅拌和混合参数才能促进反应的最佳产率,减少试剂、操作时间或温度控制的成本。
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An experimental investigation of the mechanical variables influence on soybean biodiesel production using the response surface methodology
Biodiesel is a fuel derived from renewable sources such as vegetable oils, animal fats, or residual oils. Although it is a potential source of energy, the efficiency of the production of this fuel depends on several factors, including variables associated with the stirring and mixing process of the reactions. The proper choice of these variables can avoid the formation of vortices, favor the flow direction and the homogeneity of the mixture, and, consequently, contribute to a higher yield of biodiesel. In this context, the present work investigated the effect of agitation and mixing on the production of soybean biodiesel from the analysis of parameters: impeller (blade - turbine), stirring speed (150 rpm – 300 rpm), and baffle (with-without). For this, a 2³ factorial experimental design was carried out for the methylic and ethylic routes. In the reactions, the oil: alcohol molar ratio, amount of catalyst, time, and temperature were fixed. Experimental results indicated higher yields for reactions via the methylic route (more than 93%). Through the statistical analysis, it was also verified that the presence of a baffle and the use of a turbine impeller were the variables of greater statistical significance for the methylic and ethylic routes, respectively. These results showed that the variables considered had a significant impact on the yield of the reactions, although the reaction conditions remained constant, which reinforces that only the control of stirring and mixing parameters can promote optimal yields of the reactions, reducing costs with reagents, operating time, or temperature control.
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