PDF(Pubmed)
Abstract：
The use of deicers in urban areas, on runways and aircrafts has raised concerns about their environmental impact. Understanding the ice-melting mechanism is crucial for developing environmentally friendly deicers, yet it remains challenging. This study employs machine learning to investigate the ice penetration capacity (IPC) of 21 salts and 16 organic solvents as deicers. Relationships between their IPC and various physical properties were analysed using extreme gradient boosting (XGBoost) and Shapley additive explanation (SHAP). Three key ice-melting mechanisms were identified: (1) freezing-point depression, (2) interactions between deicers and H2O molecules and (3) infiltration of ions into ice crystals. SHAP analysis revealed different ice-melting factors and mechanisms for salts and organic solvents, suggesting a potential advantage in combining the two. A mixture of propylene glycol (PG) and sodium formate demonstrated superior environmental impact and IPC. The PG and sodium formate mixture exhibited higher IPC when compared to six commercially available deicers, offering promise for sustainable deicing applications. This study provides valuable insights into the ice-melting process and proposes an effective, environmentally friendly deicer that combines the strengths of organic solvents and salts, paving the way for more sustainable practices in deicing.
摘要：
在城市地区使用除冰器，在跑道和飞机上引起了人们对其环境影响的担忧。了解融冰机制对于开发环保除冰剂至关重要，但它仍然具有挑战性。这项研究采用机器学习来研究21盐和16有机溶剂作为除冰剂的冰渗透能力（IPC）。使用极端梯度增强（XGBoost）和Shapley添加剂解释（SHAP）分析了其IPC与各种物理性质之间的关系。确定了三个关键的融冰机制：（1）冰点降低，（2）除冰剂与H2O分子之间的相互作用；（3）离子渗入冰晶。SHAP分析揭示了盐和有机溶剂的不同融冰因素和机理，表明两者结合的潜在优势。丙二醇(PG)和甲酸钠的混合物表现出优异的环境影响和IPC。与六种市售除冰剂相比，PG和甲酸钠混合物表现出更高的IPC，为可持续除冰应用提供承诺。这项研究为融冰过程提供了有价值的见解，并提出了一种有效的，结合了有机溶剂和盐的优点的环保除冰器，为更可持续的除冰实践铺平道路。
