Cheng Chi , Zhisong Ou , Chunkan Yu , Wang Han , Dominique Thévenin
{"title":"非定常事件引起的流体/火焰动力学中的广义记忆效应","authors":"Cheng Chi , Zhisong Ou , Chunkan Yu , Wang Han , Dominique Thévenin","doi":"10.1016/j.partic.2025.05.021","DOIUrl":null,"url":null,"abstract":"<div><div>Though being an important mechanism in systems involving unsteady fluid flows (e.g., fluids interacting with moving structures, particles in turbulent flows, turbulent flame propagation), the memory effect is usually not considered and has not attracted much attention. The present study tries to highlight the importance of this memory effect based on a variety of examples. In this manner, the three key components characterizing the memory effect can be identified in a general manner. The central mechanism controlling the memory effect is then investigated by studying the flow over a shrinking particle. It is found that the Damköhler number comparing the timescales of the unsteady (trigger) event and of the feedback on the flow directly determines the intensity of the memory effect; a smaller Damköhler number results in a more intense effect. Finally, the flow induced by a flapping wing is considered to demonstrate that the memory effect could be also beneficial for practical applications, for instance for biomimetic locomotion.</div></div>","PeriodicalId":401,"journal":{"name":"Particuology","volume":"103 ","pages":"Pages 232-241"},"PeriodicalIF":4.1000,"publicationDate":"2025-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A generalized memory effect in fluid/flame dynamics due to unsteady events\",\"authors\":\"Cheng Chi , Zhisong Ou , Chunkan Yu , Wang Han , Dominique Thévenin\",\"doi\":\"10.1016/j.partic.2025.05.021\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Though being an important mechanism in systems involving unsteady fluid flows (e.g., fluids interacting with moving structures, particles in turbulent flows, turbulent flame propagation), the memory effect is usually not considered and has not attracted much attention. The present study tries to highlight the importance of this memory effect based on a variety of examples. In this manner, the three key components characterizing the memory effect can be identified in a general manner. The central mechanism controlling the memory effect is then investigated by studying the flow over a shrinking particle. It is found that the Damköhler number comparing the timescales of the unsteady (trigger) event and of the feedback on the flow directly determines the intensity of the memory effect; a smaller Damköhler number results in a more intense effect. Finally, the flow induced by a flapping wing is considered to demonstrate that the memory effect could be also beneficial for practical applications, for instance for biomimetic locomotion.</div></div>\",\"PeriodicalId\":401,\"journal\":{\"name\":\"Particuology\",\"volume\":\"103 \",\"pages\":\"Pages 232-241\"},\"PeriodicalIF\":4.1000,\"publicationDate\":\"2025-06-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Particuology\",\"FirstCategoryId\":\"88\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S1674200125001543\",\"RegionNum\":2,\"RegionCategory\":\"材料科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"ENGINEERING, CHEMICAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Particuology","FirstCategoryId":"88","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1674200125001543","RegionNum":2,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENGINEERING, CHEMICAL","Score":null,"Total":0}
A generalized memory effect in fluid/flame dynamics due to unsteady events
Though being an important mechanism in systems involving unsteady fluid flows (e.g., fluids interacting with moving structures, particles in turbulent flows, turbulent flame propagation), the memory effect is usually not considered and has not attracted much attention. The present study tries to highlight the importance of this memory effect based on a variety of examples. In this manner, the three key components characterizing the memory effect can be identified in a general manner. The central mechanism controlling the memory effect is then investigated by studying the flow over a shrinking particle. It is found that the Damköhler number comparing the timescales of the unsteady (trigger) event and of the feedback on the flow directly determines the intensity of the memory effect; a smaller Damköhler number results in a more intense effect. Finally, the flow induced by a flapping wing is considered to demonstrate that the memory effect could be also beneficial for practical applications, for instance for biomimetic locomotion.
期刊介绍:
The word ‘particuology’ was coined to parallel the discipline for the science and technology of particles.
Particuology is an interdisciplinary journal that publishes frontier research articles and critical reviews on the discovery, formulation and engineering of particulate materials, processes and systems. It especially welcomes contributions utilising advanced theoretical, modelling and measurement methods to enable the discovery and creation of new particulate materials, and the manufacturing of functional particulate-based products, such as sensors.
Papers are handled by Thematic Editors who oversee contributions from specific subject fields. These fields are classified into: Particle Synthesis and Modification; Particle Characterization and Measurement; Granular Systems and Bulk Solids Technology; Fluidization and Particle-Fluid Systems; Aerosols; and Applications of Particle Technology.
Key topics concerning the creation and processing of particulates include:
-Modelling and simulation of particle formation, collective behaviour of particles and systems for particle production over a broad spectrum of length scales
-Mining of experimental data for particle synthesis and surface properties to facilitate the creation of new materials and processes
-Particle design and preparation including controlled response and sensing functionalities in formation, delivery systems and biological systems, etc.
-Experimental and computational methods for visualization and analysis of particulate system.
These topics are broadly relevant to the production of materials, pharmaceuticals and food, and to the conversion of energy resources to fuels and protection of the environment.