Jie Sun,Siru Liu,Guoqing Liao,Shuai Wang,Yingda Lu,Cheng Wu,Yijing He,Nana Sun,Weidong Li
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引用次数: 0
Abstract
Oil-water emulsions are prevalent in petroleum, chemical, and materials industries, where their rheological properties significantly impact processing efficiency. This review systematically examines the key factors influencing the apparent viscosity of oil-water emulsions, including oil composition, water characteristics, temperature, shear conditions, and emulsifier properties. It traces the evolution of viscosity prediction methodologies, encompassing conventional, complex, and Pickering emulsions, and assesses modeling approaches ranging from early theoretical frameworks to contemporary machine learning techniques. The reliability and applicability of these models are critically evaluated across various industrial contexts. Furthermore, the review identifies key challenges, research gaps, and prospective directions, emphasizing potential advancements in experimental strategies and modeling methodologies. While focusing on petrochemical emulsions, the insights and analytical approaches discussed are applicable to biological, medical, and other industrial systems, offering guidance for future research and practical implementation.
期刊介绍:
Published on behalf of the New York Academy of Sciences, Annals of the New York Academy of Sciences provides multidisciplinary perspectives on research of current scientific interest with far-reaching implications for the wider scientific community and society at large. Each special issue assembles the best thinking of key contributors to a field of investigation at a time when emerging developments offer the promise of new insight. Individually themed, Annals special issues stimulate new ways to think about science by providing a neutral forum for discourse—within and across many institutions and fields.