Tumble dryers offer a fast and convenient way of drying textiles independent of weather conditions and therefore are frequently used in ordinary households. However, artificial drying of textiles consumes considerable amounts of energy, approximately 8.2 percent of the residential electricity consumption is for drying of textiles in northern European countries (Cranston et al., 2019). Several authors have investigated the aspects of the clothes drying cycle with experimental and numerical methods to understand and improve the process. The first turning point study on understanding the physics of evaporation for tumble dryers was presented by Lambert et al. (1991) in the early 90s. With the aid of Chilton_Colburn analogy, they introduced the concept of area-mass transfer coefficient to address evaporation rate. Afterwards, several experimental or numerical studies were published based on this concept, and furthermore, the model was then developed into 0-dimensional (Deans, 2001) and 1-dimensional (Wei et al., 2017) to gain more accuracy. The evaporation rate is considered to be the main system parameter for dryers with which other performance parameters including drying time, effectiveness, moisture content and efficiency can be estimated. More recent literature focused on utilizing dimensional analysis or image processing techniques to correlate drying indices with system parameters. However, the validity of these regressed models is machine-specific, and hence, cannot be generalized yet. All the previous models for estimating the evaporation rate in tumble dryers are discussed. The review of the related literature showed that all of the previous models for the prediction of the evaporation rate in the clothes dryers have some limitations in terms of accuracy and applicability.

翻译：滚筒烘干机提供了一种快速便捷的纺织品烘干方式，不受天气条件影响，因此常用于普通家庭。然而，纺织品的人工烘干消耗大量能源，在北欧国家，约8.2%的家庭用电用于纺织品烘干（Cranston等，2019）。多位研究者通过实验和数值方法研究了衣物烘干周期的各个方面，以理解并改进这一过程。Lambert等人（1991）在20世纪90年代初首次提出了理解滚筒烘干机蒸发物理学的转折性研究。借助Chilton-Colburn类比，他们引入了面积-传质系数的概念来描述蒸发速率。此后，基于这一概念发表了多项实验或数值研究，并且该模型进一步发展为零维（Deans，2001）和一维（Wei等，2017）以提高精度。蒸发速率被认为是烘干机的主要系统参数，通过它可以估算其他性能参数，包括烘干时间、效率、含水率及效能。最近的文献侧重于利用量纲分析或图像处理技术将烘干指标与系统参数相关联。然而，这些回归模型的有效性具有机器特异性，因此尚不能推广。本文讨论了所有以往用于估算滚筒烘干机蒸发速率的模型。相关文献综述表明，以往所有用于预测衣物烘干机蒸发速率的模型在准确性和适用性方面均存在一定局限性。