An adaptive Finite Element strategy for the numerical simulation of additive manufacturing processes

被引:62
作者
Baiges, Joan [1 ]
Chiumenti, Michele [1 ,2 ]
Moreira, Carlos A. [1 ,2 ]
Cervera, Miguel [1 ,2 ]
Codina, Ramon [1 ,2 ]
机构
[1] Univ Politecn Cataluna, Jordi Girona 1-3,Edif C1, Barcelona 08034, Spain
[2] Ctr Int Metodes Numer Engn CIMNE, Edif C1,Campus Nord UPC C Gran Capita S-N, Barcelona 08034, Spain
关键词
Finite Element; adaptive refinement; additive manufacturing; numerical simulation;
D O I
10.1016/j.addma.2020.101650
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
In this work an adaptive Finite Element strategy to deal with the numerical simulation of Additive Manufacturing (AM) processes is presented. The Selective Laser Melting (SLM) is chosen as the reference technology because of its great diffusion in the industrial manufacturing chain, although the proposed methodology can be applied to the numerical simulation of all types of AM. An octree-based mesh adaptivity approach is adopted allowing for the use of much finer meshes within the processing zone, the so called Thermo-Mechanically Affected Zone (TMAZ), if compared to the rest of the computational domain. Although the adaptive meshing is vital to keep controlled the computational resources through the entire simulation of the fabrication process, the accuracy of the results can be compromised by the coarsening strategy, and particularly when simulating the SLM process, where the mesh size can vary from microns (TMAZ) to centimetres (close to the build-plate). This loss of accuracy can spoil the original efforts in refining the mesh in the process zone. Therefore a strategy to compensate for information loss in the adaptive refinement simulation of additive manufacturing processes is developed. The main idea is to add two correction terms which compensate for the loss of accuracy in the coarsening process of the mesh in the already manufactured regions. The proposed correction terms can be interpreted as a Variational Multiscale enhancement on the adaptive mesh. This allows one to successfully simulate the additive manufacturing process by using an adaptively coarsened mesh, with results which have an accuracy very similar to the one of a uniformly refined mesh simulation, at a fraction of the computational cost. Numerical examples illustrate the performance of the proposed strategy.
引用
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页数:13
相关论文
共 51 条
[1]  
Ahrens J, 2005, VIS HDB, P717, DOI [10.1016/B978-012387582-2/50038-1, DOI 10.1016/B978-012387582-2/50038-1]
[2]   A NEW UNCONDITIONALLY STABLE FRACTIONAL STEP METHOD FOR NONLINEAR COUPLED THERMOMECHANICAL PROBLEMS [J].
ARMERO, F ;
SIMO, JC .
INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN ENGINEERING, 1992, 35 (04) :737-766
[3]   A finite element reduced-order model based on adaptive mesh refinement and artificial neural networks [J].
Baiges, Joan ;
Codina, Ramon ;
Castanar, Inocencio ;
Castillo, Ernesto .
INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN ENGINEERING, 2020, 121 (04) :588-601
[4]   Large-scale stochastic topology optimization using adaptive mesh refinement and coarsening through a two-level parallelization scheme [J].
Baiges, Joan ;
Martinez-Frutos, Jesus ;
Herrero-Perez, David ;
Otero, Fermin ;
Ferrer, Alex .
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING, 2019, 343 :186-206
[5]   Variational Multiscale error estimators for solid mechanics adaptive simulations: An Orthogonal Subgrid Scale approach [J].
Baiges, Joan ;
Codina, Ramon .
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING, 2017, 325 :37-55
[6]   REFFICIENTLIB: AN EFFICIENT LOAD-REBALANCED ADAPTIVE MESH REFINEMENT ALGORITHM FOR HIGH-PERFORMANCE COMPUTATIONAL PHYSICS MESHES [J].
Baiges, Joan ;
Bayona, Camilo .
SIAM JOURNAL ON SCIENTIFIC COMPUTING, 2017, 39 (02) :C65-C95
[7]   Reduced-order subscales for POD models [J].
Baiges, Joan ;
Codina, Ramon ;
Idelsohn, Sergio .
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING, 2015, 291 :173-196
[8]   An overview of residual stresses in metal powder bed fusion [J].
Bartlett, Jamison L. ;
Li, Xiaodong .
ADDITIVE MANUFACTURING, 2019, 27 :131-149
[9]   Limitations of the inherent strain method in simulating powder bed fusion processes [J].
Bugatti, Matteo ;
Semeraro, Quirico .
ADDITIVE MANUFACTURING, 2018, 23 :329-346
[10]  
Cervera M, 1999, INT J NUMER METH ENG, V46, P1575, DOI 10.1002/(SICI)1097-0207(19991130)46:9<1575::AID-NME713>3.0.CO