A model for predicting the temperature field during selective laser melting

被引:75
作者
Du, Yang [1 ]
You, Xinyu [2 ]
Qiao, Fengbin [1 ]
Guo, Lijie [1 ]
Liu, Zhengwu [1 ]
机构
[1] Shanghai Aerosp Equipments Mfg Co Ltd, Shanghai 200245, Peoples R China
[2] Univ Shanghai Sci & Technol, Sch Mech Engn, Shanghai 200093, Peoples R China
关键词
SLM; Finite element; Temperature field; Molten pool; Process parameters; RESIDUAL-STRESS; ABSORPTION; SIMULATION; DISTORTION;
D O I
10.1016/j.rinp.2018.11.031
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
To solve the problem that the thermal behavior of powder bed during SLM process is difficult to be analyzed by direct test measurement, a model for predicting the temperature field of AlSi10Mg molten pool in SLM process was established based on the finite element method. In the prediction model, the thermal properties of the material and the variation of laser power absorptivity with temperature were taken into account; the laser heat source was regarded as a 3D Gaussian body heat source, and successfully implemented that the element properties of the material were transformed from powder state to solid state in real time. Through the simulation, the influence of laser power and scanning speed on the thermal behavior of powder bed was investigated, and the validity of the model was verified by experiments. The experimental results were in eminent agreement with the predicted results, and the prediction error was lower than 7%. Based on this model, the process parameters can be optimized according to the obtained law of variation of the thermal behavior of the molten pool, reducing the number of intensive tests and improving the process stability of SLM.
引用
收藏
页码:52 / 60
页数:9
相关论文
共 21 条
[1]   Effect of carbon black on temperature field and weld profile during laser transmission welding of polymers: A FEM study [J].
Acherjee, Bappa ;
Kuar, Arunanshu S. ;
Mitra, Souren ;
Misra, Dipten .
OPTICS AND LASER TECHNOLOGY, 2012, 44 (03) :514-521
[2]  
Ahmadi A, 2016, PROCEEDINGS OF THE ASME 11TH INTERNATIONAL MANUFACTURING SCIENCE AND ENGINEERING CONFERENCE, 2016, VOL 2
[3]   Analysis of laser absorption on a rough metal surface [J].
Ang, LK ;
Lau, YY ;
Gilgenbach, RM ;
Spindler, HL .
APPLIED PHYSICS LETTERS, 1997, 70 (06) :696-698
[4]  
ANSYS I, 2005, APDL PROGR GUID, P312
[5]   COMPARISON OF FINITE-ELEMENT TECHNIQUES FOR SOLIDIFICATION PROBLEMS [J].
DALHUIJSEN, AJ ;
SEGAL, A .
INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN ENGINEERING, 1986, 23 (10) :1807-1829
[6]   Analytical modelling of residual stress in additive manufacturing [J].
Fergani, O. ;
Berto, F. ;
Welo, T. ;
Liang, S. Y. .
FATIGUE & FRACTURE OF ENGINEERING MATERIALS & STRUCTURES, 2017, 40 (06) :971-978
[7]   Melt pool simulation for the evaluation of process parameters in selective laser melting [J].
Heeling, Thorsten ;
Cloots, Michael ;
Wegener, Konrad .
ADDITIVE MANUFACTURING, 2017, 14 :116-125
[8]   Computer aided optimisation of the thermal management during laser beam melting process [J].
Ilin, Alexander ;
Logvinov, Ruslan ;
Kulikov, Alexander ;
Prihodovsky, Andrey ;
Xu, Hongxiao ;
Ploshikhin, Vasily ;
Guenther, Benjamin ;
Bechmann, Florian .
8TH INTERNATIONAL CONFERENCE ON LASER ASSISTED NET SHAPE ENGINEERING (LANE 2014), 2014, 56 :390-399
[9]  
Jie Yin, 2014, INVESTIGATION NUMERI
[10]   A multiscale modeling approach for fast prediction of part distortion in selective laser melting [J].
Li, C. ;
Fu, C. H. ;
Guo, Y. B. ;
Fang, F. Z. .
JOURNAL OF MATERIALS PROCESSING TECHNOLOGY, 2016, 229 :703-712