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Investigation into the Dehydration Process of Oily Sludge by Fry-Drying Method

机译:干燥法研究含油污泥的脱水过程

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摘要

This study investigated the oily sludge water loss and oil uptake phenomenon during the fry-drying process. A cylindrical sample of oily sludge was added to the preheated spent lubricating oil of vehicle. A diffusion model and a first-order kinetic model were proposed to predict the water and oil content, respectively, of the oily sludge sample. The drying rate and oil content of the sample increased with the increase in the temperature of the frying oil and the initial water content of the sample, as well as with the decrease in the sample diameter. When the initial water content of the sample decreased from 0.4093 to 0.3512 g/g and 0.3081 g/g, the final oil content decreased by 12.24 and 20.11%, respectively. The accuracy and universality of both models were evaluated by average relative deviation (ARD) and maximum relative deviation (MRD) under 10 experimental conditions. The ARD and MRD of the sample water content were 4.72 and 8.66%, respectively, whereas those of the oil content were 6.56 and 8.75%, respectively.
机译:这项研究调查了油炸干燥过程中油性污泥的水分流失和吸油现象。将圆柱形的油性污泥样品添加到车辆的预热废润滑油中。提出了扩散模型和一阶动力学模型分别预测含油污泥样品中的水和油含量。样品的干燥速率和油含量随着煎炸油温度的升高和样品的初始水含量的增加以及样品直径的减小而增加。当样品的初始含水量从0.4093降至0.3512 g / g和0.3081 g / g时,最终含油量分别降低了12.24%和20.11%。通过在10个实验条件下的平均相对偏差(ARD)和最大相对偏差(MRD)评估两个模型的准确性和通用性。样品水含量的ARD和MRD分别为4.72和8.66%,而油含量的ARD和MRD分别为6.56和8.75%。

著录项

  • 来源
    《Environmental progress & sustainable energy》 |2015年第3期|681-688|共8页
  • 作者单位

    College of chemical Engineering, China University of Petroleum, Beijing 102249, China;

    College of chemical Engineering, China University of Petroleum, Beijing 102249, China;

    College of chemical Engineering, China University of Petroleum, Beijing 102249, China;

    College of chemical Engineering, China University of Petroleum, Beijing 102249, China;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);美国《生物学医学文摘》(MEDLINE);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    oily sludge; fry-drying process; influence factor; model prediction;

    机译:油性污泥油炸干燥过程;影响因素模型预测;
  • 入库时间 2022-08-17 13:27:48

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