Yanjun Bai , He Chen , Xueting Wu , Wenjing Yang , Fanhui Zhu , Kaiwei Chu , Yan Ba
{"title":"固体火箭发动机环境下大质量铝颗粒和团聚体燃烧的欧拉-拉格朗日模拟","authors":"Yanjun Bai , He Chen , Xueting Wu , Wenjing Yang , Fanhui Zhu , Kaiwei Chu , Yan Ba","doi":"10.1016/j.powtec.2025.121685","DOIUrl":null,"url":null,"abstract":"<div><div>In a solid rocket combustor, the aluminum particles often aggregate into larger agglomerates near the burning surface, which contributes to the distributed combustion of aluminum during the flow. This distributed manner influences the overall core flow and adds complexity to the combustion behavior. Therefore, it is crucial to account for the effects of this distributed combustion and agglomerate formation in computational modeling. In this work, based on the Euler-Lagrange model, the aluminum agglomerate combustion model is established with consideration for the smoke phase and alumina cap, which would provide a precise prediction of the particle distributed combustion. Using a typical motor setup, the multiphase reacting flow field is simulated and the particle distributed combustion is captured as the large agglomerates continue to combust in the whole flow field. With massive particle group, from 10<sup>8</sup> to 10<sup>12</sup>, the aluminum particle group combusting flow is numerically studied and reveals the non-neglected particle collective dynamics, as the reacting flow field shows obvious difference. Three typical agglomerate size distributions are investigated; the comparative results indicate the agglomerate has significant effects on combustion efficiency and motor performance, and the size distribution shows combined effects from the different size agglomerates, which indicates the importance of identifying the predominant sizes in each distribution. This work provides valuable insights into how agglomerate size and distribution influence combustion behavior in real motor conditions, emphasizing the importance of incorporating these factors into combustion modeling for more accurate predictions of motor performance.</div></div>","PeriodicalId":407,"journal":{"name":"Powder Technology","volume":"468 ","pages":"Article 121685"},"PeriodicalIF":4.6000,"publicationDate":"2025-09-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Euler-Lagrange simulation of massive aluminum particles and agglomerates combustion in a realistic solid rocket motor environment\",\"authors\":\"Yanjun Bai , He Chen , Xueting Wu , Wenjing Yang , Fanhui Zhu , Kaiwei Chu , Yan Ba\",\"doi\":\"10.1016/j.powtec.2025.121685\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>In a solid rocket combustor, the aluminum particles often aggregate into larger agglomerates near the burning surface, which contributes to the distributed combustion of aluminum during the flow. This distributed manner influences the overall core flow and adds complexity to the combustion behavior. Therefore, it is crucial to account for the effects of this distributed combustion and agglomerate formation in computational modeling. In this work, based on the Euler-Lagrange model, the aluminum agglomerate combustion model is established with consideration for the smoke phase and alumina cap, which would provide a precise prediction of the particle distributed combustion. Using a typical motor setup, the multiphase reacting flow field is simulated and the particle distributed combustion is captured as the large agglomerates continue to combust in the whole flow field. With massive particle group, from 10<sup>8</sup> to 10<sup>12</sup>, the aluminum particle group combusting flow is numerically studied and reveals the non-neglected particle collective dynamics, as the reacting flow field shows obvious difference. Three typical agglomerate size distributions are investigated; the comparative results indicate the agglomerate has significant effects on combustion efficiency and motor performance, and the size distribution shows combined effects from the different size agglomerates, which indicates the importance of identifying the predominant sizes in each distribution. This work provides valuable insights into how agglomerate size and distribution influence combustion behavior in real motor conditions, emphasizing the importance of incorporating these factors into combustion modeling for more accurate predictions of motor performance.</div></div>\",\"PeriodicalId\":407,\"journal\":{\"name\":\"Powder Technology\",\"volume\":\"468 \",\"pages\":\"Article 121685\"},\"PeriodicalIF\":4.6000,\"publicationDate\":\"2025-09-22\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Powder Technology\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0032591025010800\",\"RegionNum\":2,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"ENGINEERING, CHEMICAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Powder Technology","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0032591025010800","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENGINEERING, CHEMICAL","Score":null,"Total":0}
Euler-Lagrange simulation of massive aluminum particles and agglomerates combustion in a realistic solid rocket motor environment
In a solid rocket combustor, the aluminum particles often aggregate into larger agglomerates near the burning surface, which contributes to the distributed combustion of aluminum during the flow. This distributed manner influences the overall core flow and adds complexity to the combustion behavior. Therefore, it is crucial to account for the effects of this distributed combustion and agglomerate formation in computational modeling. In this work, based on the Euler-Lagrange model, the aluminum agglomerate combustion model is established with consideration for the smoke phase and alumina cap, which would provide a precise prediction of the particle distributed combustion. Using a typical motor setup, the multiphase reacting flow field is simulated and the particle distributed combustion is captured as the large agglomerates continue to combust in the whole flow field. With massive particle group, from 108 to 1012, the aluminum particle group combusting flow is numerically studied and reveals the non-neglected particle collective dynamics, as the reacting flow field shows obvious difference. Three typical agglomerate size distributions are investigated; the comparative results indicate the agglomerate has significant effects on combustion efficiency and motor performance, and the size distribution shows combined effects from the different size agglomerates, which indicates the importance of identifying the predominant sizes in each distribution. This work provides valuable insights into how agglomerate size and distribution influence combustion behavior in real motor conditions, emphasizing the importance of incorporating these factors into combustion modeling for more accurate predictions of motor performance.
期刊介绍:
Powder Technology is an International Journal on the Science and Technology of Wet and Dry Particulate Systems. Powder Technology publishes papers on all aspects of the formation of particles and their characterisation and on the study of systems containing particulate solids. No limitation is imposed on the size of the particles, which may range from nanometre scale, as in pigments or aerosols, to that of mined or quarried materials. The following list of topics is not intended to be comprehensive, but rather to indicate typical subjects which fall within the scope of the journal's interests:
Formation and synthesis of particles by precipitation and other methods.
Modification of particles by agglomeration, coating, comminution and attrition.
Characterisation of the size, shape, surface area, pore structure and strength of particles and agglomerates (including the origins and effects of inter particle forces).
Packing, failure, flow and permeability of assemblies of particles.
Particle-particle interactions and suspension rheology.
Handling and processing operations such as slurry flow, fluidization, pneumatic conveying.
Interactions between particles and their environment, including delivery of particulate products to the body.
Applications of particle technology in production of pharmaceuticals, chemicals, foods, pigments, structural, and functional materials and in environmental and energy related matters.
For materials-oriented contributions we are looking for articles revealing the effect of particle/powder characteristics (size, morphology and composition, in that order) on material performance or functionality and, ideally, comparison to any industrial standard.