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使用耦合介电和冲击传感器同时测量木屑流中的水分含量和质量流量。

Simultaneous Moisture Content and Mass Flow Measurements in Wood Chip Flows Using Coupled Dielectric and Impact Sensors.

作者信息

Pan Pengmin, McDonald Timothy, Fulton John, Via Brian, Hung John

机构信息

Biosystems Engineering Department, Auburn University, 200 Corley Building, Auburn University, Auburn, AL 36849, USA.

Department of Food, Agricultural and Biological Engineering, Ohio State University, 590 Woody Hayes Drive, Columbus, OH 43210-1057, USA.

出版信息

Sensors (Basel). 2016 Dec 23;17(1):20. doi: 10.3390/s17010020.

Abstract

An 8-electrode capacitance tomography (ECT) sensor was built and used to measure moisture content (MC) and mass flow of pine chip flows. The device was capable of directly measuring total water quantity in a sample but was sensitive to both dry matter and moisture, and therefore required a second measurement of mass flow to calculate MC. Two means of calculating the mass flow were used: the first being an impact sensor to measure total mass flow, and the second a volumetric approach based on measuring total area occupied by wood in images generated using the capacitance sensor's tomographic mode. Tests were made on 109 groups of wood chips ranging in moisture content from 14% to 120% (dry basis) and wet weight of 280 to 1100 g. Sixty groups were randomly selected as a calibration set, and the remaining were used for validation of the sensor's performance. For the combined capacitance/force transducer system, root mean square errors of prediction (RMSEP) for wet mass flow and moisture content were 13.42% and 16.61%, respectively. RMSEP using the combined volumetric mass flow/capacitance sensor for dry mass flow and moisture content were 22.89% and 24.16%, respectively. Either of the approaches was concluded to be feasible for prediction of moisture content in pine chip flows, but combining the impact and capacitance sensors was easier to implement. In situations where flows could not be impeded, however, the tomographic approach would likely be more useful.

摘要

构建了一个8电极电容层析成像(ECT)传感器,用于测量松片流的水分含量(MC)和质量流量。该设备能够直接测量样品中的总水量,但对干物质和水分都很敏感,因此需要第二次测量质量流量来计算MC。使用了两种计算质量流量的方法:第一种是使用冲击传感器测量总质量流量,第二种是基于测量电容传感器层析成像模式生成的图像中木材所占总面积的体积法。对109组木片进行了测试,其水分含量范围为14%至120%(干基),湿重为280至1100 g。随机选择60组作为校准集,其余用于验证传感器的性能。对于电容/力组合传感器系统,湿质量流量和水分含量的预测均方根误差(RMSEP)分别为13.42%和16.61%。使用体积质量流量/电容组合传感器时,干质量流量和水分含量的RMSEP分别为22.89%和24.16%。得出的结论是,这两种方法对于预测松片流中的水分含量都是可行的,但将冲击传感器和电容传感器结合起来更容易实现。然而,在流动无法受阻的情况下,层析成像方法可能会更有用。

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