Binhu Xia , Sijing Lai , Qing Xia , Xiang Liu , Yibao Li , Junseok Kim
{"title":"Phase-field modeling of fiber-based thermal diffusion and phase transitions in the fused deposition modeling process","authors":"Binhu Xia , Sijing Lai , Qing Xia , Xiang Liu , Yibao Li , Junseok Kim","doi":"10.1016/j.cnsns.2025.109071","DOIUrl":null,"url":null,"abstract":"<div><div>This paper introduces an advanced phase-field equation designed to accurately simulate solid–liquid phase transitions and thermal transport during the fused deposition modeling procedure. The model incorporates bidirectional coupling between phase transitions and thermal diffusion, which allows for precise predictions of temperature distribution and detailed tracking of phase evolution influenced by temperature changes. Additionally, it dynamically accounts for the moving heat source in fused deposition modeling by integrating a temperature field that evolves with nozzle movement. To further enhance heat transfer accuracy, a heat convection term combined with the nozzle velocity field is introduced. The proposed algorithm ensures consistency between the digital simulation environment and real-world physical quantities. This consistency provides a highly realistic representation of the fused deposition modeling process. This approach enables effective simulation of temperature distribution and the resulting changes in the geometry and structure of printed parts. It also supports the prediction and optimization of part quality and output in additive manufacturing.</div></div>","PeriodicalId":50658,"journal":{"name":"Communications in Nonlinear Science and Numerical Simulation","volume":"151 ","pages":"Article 109071"},"PeriodicalIF":3.4000,"publicationDate":"2025-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Communications in Nonlinear Science and Numerical Simulation","FirstCategoryId":"100","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1007570425004824","RegionNum":2,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MATHEMATICS, APPLIED","Score":null,"Total":0}
引用次数: 0
Abstract
This paper introduces an advanced phase-field equation designed to accurately simulate solid–liquid phase transitions and thermal transport during the fused deposition modeling procedure. The model incorporates bidirectional coupling between phase transitions and thermal diffusion, which allows for precise predictions of temperature distribution and detailed tracking of phase evolution influenced by temperature changes. Additionally, it dynamically accounts for the moving heat source in fused deposition modeling by integrating a temperature field that evolves with nozzle movement. To further enhance heat transfer accuracy, a heat convection term combined with the nozzle velocity field is introduced. The proposed algorithm ensures consistency between the digital simulation environment and real-world physical quantities. This consistency provides a highly realistic representation of the fused deposition modeling process. This approach enables effective simulation of temperature distribution and the resulting changes in the geometry and structure of printed parts. It also supports the prediction and optimization of part quality and output in additive manufacturing.
期刊介绍:
The journal publishes original research findings on experimental observation, mathematical modeling, theoretical analysis and numerical simulation, for more accurate description, better prediction or novel application, of nonlinear phenomena in science and engineering. It offers a venue for researchers to make rapid exchange of ideas and techniques in nonlinear science and complexity.
The submission of manuscripts with cross-disciplinary approaches in nonlinear science and complexity is particularly encouraged.
Topics of interest:
Nonlinear differential or delay equations, Lie group analysis and asymptotic methods, Discontinuous systems, Fractals, Fractional calculus and dynamics, Nonlinear effects in quantum mechanics, Nonlinear stochastic processes, Experimental nonlinear science, Time-series and signal analysis, Computational methods and simulations in nonlinear science and engineering, Control of dynamical systems, Synchronization, Lyapunov analysis, High-dimensional chaos and turbulence, Chaos in Hamiltonian systems, Integrable systems and solitons, Collective behavior in many-body systems, Biological physics and networks, Nonlinear mechanical systems, Complex systems and complexity.
No length limitation for contributions is set, but only concisely written manuscripts are published. Brief papers are published on the basis of Rapid Communications. Discussions of previously published papers are welcome.