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Ultrasonic vibration-assisted pelleting of wheat straw: a predictive model for energy consumption using response surface methodology

机译:小麦秸秆超声振动辅助制粒:使用响应面法的能耗预测模型

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摘要

Cellulosic biomass can be used as a feedstock for biofuel manufacturing. Pelleting of cellulosic biomass can increase its bulk density and thus improve its storability and reduce the feedstock transportation costs. Ultrasonic vibration-assisted (UV-A) pelleting can produce biomass pellets whose density is comparable to that processed by traditional pelleting methods (e.g. extruding, briquetting, and rolling). This study applied response surface methodology to the development of a predictive model for the energy consumption in UV-A pelleting of wheat straw. Effects of pelleting pressure, ultrasonic power, sieve size, and pellet weight were investigated. This study also optimized the process parameters to minimize the energy consumption in UV-A pelleting using response surface methodology. Optimal conditions to minimize the energy consumption were the following: ultrasonic power at 20%, sieve size at 4 mm, and pellet weight at 1 g, and the minimum energy consumption was 2.54 Wh.
机译:纤维素生物质可以用作生物燃料生产的原料。纤维素生物质的制粒可以增加其堆积密度,从而提高其存储能力并降低原料运输成本。超声振动辅助(UV-A)造粒可以生产密度可与传统造粒方法(例如挤压,压块和轧制)相比的生物质颗粒。这项研究将响应面方法应用于小麦秸秆UV-A制粒能耗的预测模型的开发。研究了造粒压力,超声功率,筛尺寸和粒重的影响。这项研究还优化了工艺参数,以使用响应表面方法将UV-A制粒的能耗降至最低。最小化能耗的最佳条件如下:超声功率为20%,筛孔尺寸为4 mm,颗粒重量为1 g,最小能耗为2.54 Wh。

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