{"title":"Implementation of a three-dimensional numerical model for the filling process in Liquid Composite Molding on polyhedral meshes","authors":"Junchun Ding , Hao Luo , Yibo Wu , Wuyang Yue , Xianyang Li , Helezi Zhou , Zhigao Huang , Huamin Zhou","doi":"10.1016/j.advengsoft.2024.103859","DOIUrl":null,"url":null,"abstract":"<div><div>In this paper, a three-dimensional, two-phase numerical model based on polyhedral meshes was developed to simulate the resin-filling process in Liquid Composite Molding (LCM). The Algebraic Volume of Fluid (VOF) method tracked the resin flow and the finite volume method (FVM) was applied for stable numerical discretization and solution. The numerical model was validated by unidirectional flow experiments, with the maximum error observed at the flow front being within 5.00 %. Subsequently, the performance of polyhedral meshes in LCM simulations was compared with that of hexahedral and tetrahedral meshes, following the mesh-independence analysis. The results show that the accuracy of the model using polyhedral cells is close to hexahedral cells and higher than tetrahedral cells. The cell number of polyhedral cases is about half that of hexahedral cases and a quarter to a third of tetrahedral cases, assuming similar computational accuracy and mesh size. Polyhedral meshes consume the least computational resources, slightly less than hexahedral meshes and approximately one-third of tetrahedral meshes. Furthermore, polyhedral meshes have a similar level of mesh generation to that of the tetrahedra and are better adapted to complex geometries. Numerical modeling utilizing polyhedral meshes is advantageous for large-scale and complex-shaped parts.</div></div>","PeriodicalId":50866,"journal":{"name":"Advances in Engineering Software","volume":"201 ","pages":"Article 103859"},"PeriodicalIF":4.0000,"publicationDate":"2024-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Advances in Engineering Software","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0965997824002667","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS","Score":null,"Total":0}
引用次数: 0
Abstract
In this paper, a three-dimensional, two-phase numerical model based on polyhedral meshes was developed to simulate the resin-filling process in Liquid Composite Molding (LCM). The Algebraic Volume of Fluid (VOF) method tracked the resin flow and the finite volume method (FVM) was applied for stable numerical discretization and solution. The numerical model was validated by unidirectional flow experiments, with the maximum error observed at the flow front being within 5.00 %. Subsequently, the performance of polyhedral meshes in LCM simulations was compared with that of hexahedral and tetrahedral meshes, following the mesh-independence analysis. The results show that the accuracy of the model using polyhedral cells is close to hexahedral cells and higher than tetrahedral cells. The cell number of polyhedral cases is about half that of hexahedral cases and a quarter to a third of tetrahedral cases, assuming similar computational accuracy and mesh size. Polyhedral meshes consume the least computational resources, slightly less than hexahedral meshes and approximately one-third of tetrahedral meshes. Furthermore, polyhedral meshes have a similar level of mesh generation to that of the tetrahedra and are better adapted to complex geometries. Numerical modeling utilizing polyhedral meshes is advantageous for large-scale and complex-shaped parts.
期刊介绍:
The objective of this journal is to communicate recent and projected advances in computer-based engineering techniques. The fields covered include mechanical, aerospace, civil and environmental engineering, with an emphasis on research and development leading to practical problem-solving.
The scope of the journal includes:
• Innovative computational strategies and numerical algorithms for large-scale engineering problems
• Analysis and simulation techniques and systems
• Model and mesh generation
• Control of the accuracy, stability and efficiency of computational process
• Exploitation of new computing environments (eg distributed hetergeneous and collaborative computing)
• Advanced visualization techniques, virtual environments and prototyping
• Applications of AI, knowledge-based systems, computational intelligence, including fuzzy logic, neural networks and evolutionary computations
• Application of object-oriented technology to engineering problems
• Intelligent human computer interfaces
• Design automation, multidisciplinary design and optimization
• CAD, CAE and integrated process and product development systems
• Quality and reliability.