Haiwei Shi, Changcai Zhao, Bing Du, Guoyi Shen, Hengkai Ren
{"title":"固体颗粒介质拉深成形离散单元参数标定及FEM-DEM耦合分析","authors":"Haiwei Shi, Changcai Zhao, Bing Du, Guoyi Shen, Hengkai Ren","doi":"10.1016/j.powtec.2025.121129","DOIUrl":null,"url":null,"abstract":"<div><div>To analyze the internal interactions of solid granules medium (SGM) and their interactions with sheet metal during the SGM deep drawing forming process, the discrete element method (DEM) is used for the SGM, and the finite element method (FEM) is employed for the sheet metal. A new FEM-DEM coupling method is developed based on the force conservation principle. To address the issues of circularity and deformation under high pressure present in the SGM, the rolling resistance linear (RRL) model is applied. A high-precision inversion method utilizing the back propagation neural network-particle swarm optimization (BP-PSO) algorithm is proposed to enhance the efficiency of DEM parameter calibration. The SGM deep drawing forming process is conducted and compared with the simulation results of the FEM-DEM coupling model, which confirms the accuracy of the coupling model. This model analyzes force transmission and flow of the granules, efficiently visualizing interactions during the forming process.</div></div>","PeriodicalId":407,"journal":{"name":"Powder Technology","volume":"463 ","pages":"Article 121129"},"PeriodicalIF":4.5000,"publicationDate":"2025-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Calibration of discrete element parameters and FEM-DEM coupling analysis for solid granules medium deep drawing forming\",\"authors\":\"Haiwei Shi, Changcai Zhao, Bing Du, Guoyi Shen, Hengkai Ren\",\"doi\":\"10.1016/j.powtec.2025.121129\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>To analyze the internal interactions of solid granules medium (SGM) and their interactions with sheet metal during the SGM deep drawing forming process, the discrete element method (DEM) is used for the SGM, and the finite element method (FEM) is employed for the sheet metal. A new FEM-DEM coupling method is developed based on the force conservation principle. To address the issues of circularity and deformation under high pressure present in the SGM, the rolling resistance linear (RRL) model is applied. A high-precision inversion method utilizing the back propagation neural network-particle swarm optimization (BP-PSO) algorithm is proposed to enhance the efficiency of DEM parameter calibration. The SGM deep drawing forming process is conducted and compared with the simulation results of the FEM-DEM coupling model, which confirms the accuracy of the coupling model. This model analyzes force transmission and flow of the granules, efficiently visualizing interactions during the forming process.</div></div>\",\"PeriodicalId\":407,\"journal\":{\"name\":\"Powder Technology\",\"volume\":\"463 \",\"pages\":\"Article 121129\"},\"PeriodicalIF\":4.5000,\"publicationDate\":\"2025-05-19\",\"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/S0032591025005248\",\"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/S0032591025005248","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}
Calibration of discrete element parameters and FEM-DEM coupling analysis for solid granules medium deep drawing forming
To analyze the internal interactions of solid granules medium (SGM) and their interactions with sheet metal during the SGM deep drawing forming process, the discrete element method (DEM) is used for the SGM, and the finite element method (FEM) is employed for the sheet metal. A new FEM-DEM coupling method is developed based on the force conservation principle. To address the issues of circularity and deformation under high pressure present in the SGM, the rolling resistance linear (RRL) model is applied. A high-precision inversion method utilizing the back propagation neural network-particle swarm optimization (BP-PSO) algorithm is proposed to enhance the efficiency of DEM parameter calibration. The SGM deep drawing forming process is conducted and compared with the simulation results of the FEM-DEM coupling model, which confirms the accuracy of the coupling model. This model analyzes force transmission and flow of the granules, efficiently visualizing interactions during the forming process.
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.