Finite Difference Modeling and Experimental Investigation of Cyclic Thermal Heating in the Fused Filament Fabrication Process

被引:2
作者
Luberto, Luca [1 ]
Boess, Volker [2 ]
de Payrebrune, Kristin M. [1 ]
机构
[1] Tech Univ Kaiserslautern, Inst Computat Phys Engn, Dept Mech & Proc Engn, Gottlieb Daimler Str 44,Bldg 44, D-67663 Kaiserslautern, Germany
[2] Leibniz Univ Hannover, Inst Prod Engn & Machine Tools, Fac Mech Engn, Hannover, Germany
关键词
additive manufacturing; fused filament fabrication; finite difference method; heat transfer; experimental investigation;
D O I
10.1089/3dp.2022.0282
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Fused filament fabrication (FFF) is one of the most popular additive manufacturing (AM) processes due to its simplicity and low initial and maintenance costs. However, good printing results such as high dimensionality, avoidance of cooling cracks, and warping are directly related to heat control in the process and require precise settings of printing parameters. Therefore, accurate prediction and understanding of temperature peaks and cooling behavior in a local area and in a larger part are important in FFF, as in other AM processes. To analyze the temperature peaks and cooling behavior, we simulated the heat distribution, including convective heat transfer, in a cuboid sample. The model uses the finite difference method (FDM), which is advantageous for parallel computing on graphics processing units and makes temperature simulations also of larger parts feasible. After the verification process, we validate the simulation with an in situ measurement during FFF printing. We conclude the process simulation with a parameter study in which we vary the function of the heat transfer coefficient and part size. For smaller parts, we found that the print bed temperature is crucial for the temperature gradient. The approximations of the heat transfer process play only a secondary role. For larger components, the opposite effect can be observed. The description of heat transfer plays a decisive role for the heat distribution in the component, whereas the bed temperature determines the temperature distribution only in the immediate vicinity of the bed. The developed FFF process model thus provides a good basis for further investigations and can be easily extended by additional effects or transferred to other AM processes.
引用
收藏
页码:e1064 / e1072
页数:9
相关论文
共 17 条
  • [1] [Anonymous], 2021, LEGAL INFORM
  • [2] Baehr H.D., 2019, Warme- und Stoffubertragung, P1, DOI [DOI 10.1007/978-3-662-58441-5, 10.1007/978-3-662-58441-5_1, DOI 10.1007/978-3-662-58441-5_1]
  • [3] Finite Element Analysis of Additive Manufacturing Based on Fused Deposition Modeling: Distortions Prediction and Comparison With Experimental Data
    Cattenone, Alberto
    Morganti, Simone
    Alaimo, Gianluca
    Auricchio, Ferdinando
    [J]. JOURNAL OF MANUFACTURING SCIENCE AND ENGINEERING-TRANSACTIONS OF THE ASME, 2019, 141 (01):
  • [4] The role of additive manufacturing in the era of Industry 4.0
    Dilberoglu, Ugur M.
    Gharehpapagh, Bahar
    Yaman, Ulas
    Dolen, Melik
    [J]. 27TH INTERNATIONAL CONFERENCE ON FLEXIBLE AUTOMATION AND INTELLIGENT MANUFACTURING, FAIM2017, 2017, 11 : 545 - 554
  • [5] Kosky P., 2021, EXPLORING ENG INTRO, V5th
  • [6] MathWorks Deutschland, 2022, PARTIAL DIFFERENTIAL
  • [7] Mazumder S., 2016, Numerical Methods for Partial Differential Equations. Finite Difference and Finite Volume Methods, V1st
  • [8] Review on design and structural optimisation in additive manufacturing: Towards next-generation lightweight structures
    Plocher, Janos
    Panesar, Ajit
    [J]. MATERIALS & DESIGN, 2019, 183
  • [9] Prusa Research, 2021, US
  • [10] Sd3d Printing, 2021, 3D PRINT PLA MAT DAT