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Monitoring Dynamic Moisture Gradients in Wood Using Inserted Relative Humidity and Temperature Sensors

机译:使用插入的相对湿度和温度传感器监测木材中的动态水分梯度

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To be able to combine the preservation of wooden objects of culturalsignificance with energy efficiency measures it is important to developour knowledge of the relation between the rate of change of relativehumidity and temperature, moisture content gradients and the resultingdimensional change of wood. The work presented here introduces andevaluates a method for monitoring dynamic moisture content gradients,mainly for research applications. Relative humidity and temperaturewere measured by miniature sensors, placed in drilled holes at differentdepths in wood samples to monitor the moisture transport. The data wasused to calculate moisture content and the results could hence be comparedwith the results from a commercial resistance moisture meter,monitored at the same depths. The results of the two methods did notcoincide. A Fickian model for moisture diffusion was chosen to verify themonitored results. It showed poor fit with the commercial resistancemethod and a reasonably good fit with the new method using relativehumidity and temperature sensors. We concluded that the new methodprovides reliable and consistent data suitable for monitoring moisturecontent at different depths under unsteady state conditions, while thedata generated by the resistance method in our set-up was inconsistentwith the model and with our understanding of the moisture transportprocess.
机译:为了能够将具有文化意义的木制物体的保存与节能措施相结合,重要的是要了解相对湿度和温度的变化速率,水分含量梯度以及由此产生的木材尺寸变化之间的关系。这里介绍的工作介绍并评估了一种用于监测动态水分含量梯度的方法,主要用于研究应用。相对湿度和温度通过微型传感器测量,并放置在木材样品中不同深度的钻孔中,以监测水分的传输。该数据用于计算水分含量,因此可以将结果与在相同深度下监测的商用电阻水分仪的结果进行比较。两种方法的结果不一致。选择Fickian水分扩散模型来验证监测结果。它显示出与商业电阻方法的拟合度较差,而使用相对湿度和温度传感器的新方法显示出的拟合度较合理。我们得出的结论是,新方法提供了可靠且一致的数据,适用于在非稳态条件下监测不同深度的水分含量,而我们设置中的阻力法生成的数据与模型以及我们对水分传输过程的理解不一致。

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