Mass loss (ML) of wood caused by thermal degradation is one of the most important features of the thermal treatments and referred to as an indicator of intensity and quality of the process. The ML is proportional to the quantity of the effective heat power exchanged during the treatment process, represented by the area of the temperature profile versus time during the process. In this paper a model for the ML prediction based on the relative area was discussed. The model proposed an analytical solution to take into account the non-linear trend of ML when plotted versus temperature and time as observed in isothermal experiments. The model was validated comparing calculated and measured final ML of samples treated during thermal modification tests with different temperature profiles. The results showed that the relative area calculated in a transformed time-temperature space improves the correlation with the measured ML.

中文翻译：

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预测热真空改性过程中木材质量损失动力学的模型

由热降解引起的木材质量损失（ML）是热处理的最重要特征之一，被称为工艺强度和质量的指标。ML与处理过程中交换的有效热量的数量成正比，表示为温度曲线的面积与过程中的时间之间的关系。本文讨论了基于相对面积的机器学习预测模型。该模型提出了一种分析解决方案，考虑了等温实验中观察到的ML相对于温度和时间的非线性趋势。通过比较在不同温度曲线下进行的热改性测试期间处理过的样品的计算和测量的最终ML来验证模型。