Empirical methodology to determine inherent strains in additive manufacturing

被引:133
作者
Setien, Inaki [1 ]
Chiumenti, Michele [3 ,4 ]
van der Veen, Sjoerd [2 ]
San Sebastian, Maria [1 ]
Garciandia, Fermin [1 ]
Echeverria, Alberto [1 ]
机构
[1] IK4 LORTEK Technol Ctr, Arranomendia Kalea 4A, Ordizia 20240, Spain
[2] ESIRNM, AIRBUS Struct Res & Integrat, 18 Rue Marius Terce, F-31300 Toulouse, France
[3] CIMNE, Bldg C1,Campus Nord UPC,Gran Capitan S-N, E-08034 Barcelona, Spain
[4] Univ Politecn Cataluna, Jordi Girona 1-3,Edifici C1, E-08034 Barcelona, Spain
基金
欧盟地平线“2020”;
关键词
Additive manufacturing; Inherent strain; Finite element modelling; EXPERIMENTAL VALIDATION; PART DISTORTION; RESIDUAL-STRESS; LASER; SIMULATION; MODEL;
D O I
10.1016/j.camwa.2018.05.015
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
Part distortion is a critical issue during Additive Manufacturing (AM) of metallic parts since it prevents this technology from being implemented at industrial level. To this regard, distortion prediction even from design stage has become crucial. Actually, numerical modelling methodologies play an important role here. Different modelling approaches have been developed but one of the most computationally efficient methodology to predict distortion is the so called inherent strain method. In this work an empirical methodology to determine inherent strains is presented. This is the input data in simplified Finite Element (FE) models in order to predict distortion and residual stress fields. These inherent strains are calculated considering layer lumping strategies that might be adopted in the numerical model as well. The procedure has been developed and validated using the well-known twin-cantilever beam structure. Ti-6Al-4V beams have been manufactured by LPBF technology following different scanning strategies. Distortion after support removal has been measured in order to be compared against numerical results. The methodology has been applied at coupon level giving accurate results and providing a preliminary validation. (C) 2018 Elsevier Ltd. All rights reserved.
引用
收藏
页码:2282 / 2295
页数:14
相关论文
共 32 条
[1]  
Alvarez P., 2016, INT J ENG RES SCI IJ, V2
[2]  
[Anonymous], 2006, COMPUTATIONAL WELDIN
[3]  
Barbero E.J., 2010, Introduction to Composite Materials Design, V2nd
[4]   Numerical modeling of the electron beam welding and its experimental validation [J].
Chiumenti, M. ;
Cervera, M. ;
Dialami, N. ;
Wu, B. ;
Jinwei, L. ;
Agelet de Saracibar, C. .
FINITE ELEMENTS IN ANALYSIS AND DESIGN, 2016, 121 :118-133
[5]   Numerical modelling and experimental validation in Selective Laser Melting [J].
Chiumenti, Michele ;
Neiva, Eric ;
Salsi, Emilio ;
Cervera, Miguel ;
Badia, Santiago ;
Moya, Joan ;
Chen, Zhuoer ;
Lee, Caroline ;
Davies, Christopher .
ADDITIVE MANUFACTURING, 2017, 18 :171-185
[6]   Numerical simulation and experimental calibration of additive manufacturing by blown powder technology. Part I: thermal analysis [J].
Chiumenti, Michele ;
Lin, Xin ;
Cervera, Miguel ;
Lei, Wei ;
Zheng, Yuxiang ;
Huang, Weidong .
RAPID PROTOTYPING JOURNAL, 2017, 23 (02) :448-463
[7]   Finite element modeling of multi-pass welding and shaped metal deposition processes [J].
Chiumenti, Michele ;
Cervera, Miguel ;
Salmi, Alessandro ;
Agelet de Saracibar, Carlos ;
Dialami, Narges ;
Matsui, Kazumi .
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING, 2010, 199 (37-40) :2343-2359
[8]   Additive manufacturing of metallic components - Process, structure and properties [J].
DebRoy, T. ;
Wei, H. L. ;
Zuback, J. S. ;
Mukherjee, T. ;
Elmer, J. W. ;
Milewski, J. O. ;
Beese, A. M. ;
Wilson-Heid, A. ;
De, A. ;
Zhang, W. .
PROGRESS IN MATERIALS SCIENCE, 2018, 92 :112-224
[9]  
Denlinger E.R., 2015, Thesis
[10]   Thermomechanical model development and in situ experimental validation of the Laser Powder-Bed Fusion process [J].
Denlinger, Erik R. ;
Gouge, Michael ;
Irwin, Jeff ;
Michaleris, Pan .
ADDITIVE MANUFACTURING, 2017, 16 :73-80