Identification of the heat source and thermal material model parameters for the laser engineered net shaping

Identification of the heat source and thermal material model parameters for the laser engineered net shaping

Lucyna Hajder1, Tao Zhang2, Vu Nguyen3

1AGH University of Science and Technology, al. Mickiewicza 30, 30-059 Krakow, Poland.

2Institute for Frontier Materials, Deakin University, 75 Pigdons Road, Waurn Ponds VIC 3216, Australia.

3Commonwealth Scientific and Industrial Research Organisation (CSIRO), Manufacturing, Clayton, VIC 3168, Australia.

DOI:

https://doi.org/10.7494/cmms.2022.1.0765

Abstract:

The research’s primary goal is to identify the heat source and thermal material model parameters for the numerical simulation of the laser engineered net shaping (LENS). Inconel 718 was selected as a case study for the current investigation. The LENS process’s numerical model was developed within commercial finite element software and was used as a direct problem model during the parameter identification stage. Experimental data were obtained based on a rectangular-shaped sample with thermocouples located under the based material surface. The recorded thermal profiles were used to establish a goal function for the parameter identification stage. As a result, parameters describing the melt pool geometry during the additive manufacturing, as well as thermal coefficients describing interactions between the sample material and surrounding/base material, were determined.

Cite as:

Hajder, L., Zhang, T., & Nguyen, V. (2021). Identification of the heat source and thermal material model parameters for the laser engineered net shaping. Computer Methods in Materials Science, 22(1), pages 43-54. https://doi.org/10.7494/cmms.2022.1.0765

Article (PDF):

Keywords:

Additive manufacturing, Finite element analysis, Heat source model, Thermal analysis

References:

Bajaj, P., Hariharan, A., Kini, A., Kürnsteiner, P., Raabe, D., & Jägle, E.A. (2020). Steels in additive manufacturing: A review of their microstructure and properties. Materials Science and Engineering A, 772, 138633. https://doi.org/10.1016/j.msea.2019.138633.

Bergman, T., Lavine, A., Incropera, F., & DeWitt, D. (2011). Introduction to Heat Transfer (6 ed.). John Wiley & Sons.

Bhandari, S., & Lopez-Anido, R.A. (2020). Discrete-event simulation thermal model for extrusion-based additive manufacturing of PLA and ABS. Materials, 13(21), 4985. https://doi.org/10.3390/ma13214985.

Boley, C.D., Khairallah, S.A., & Rubenchik, A.M. (2015). Calculation of laser absorption by metal powdersin additive manufacturing. Applied Optics, 54(9), 2477–2482. https://doi.org/10.1364/AO.54.002477.

Brennan, M., Keist, J., & Palmer, T. (2020). Defects in Metal Additive Manufacturing Processes. In Additive Manufacturing Processes (vol. 24, pp. 277–286). ASM International. https://doi.org/10.31399/asm.hb.v24.a0006557.

Calandri, M., Yin, S., Aldwell, B., Calignano, F., Lupoi, R., & Ugues, D. (2019). Texture and Microstructural Features at Different Length Scales in Inconel 718 Produced by Selective Laser Melting. Materials, 12(8), 1293. https://doi.org/10.3390/ma12081293.

Chen, W.-L., Yang, Y.-C., & Lee, H.-L. (2007). Estimating the absorptivity in laser processingby inverse methodology. Applied Mathematics and Computation, 190(1), 712–721. https://doi.org/10.1016/j.amc.2007.01.077.

Chiumenti, M., Cervera, M., Salmi, A., Agelet de Saracibar, C., Dialami, N., & Matsui, K. (2010). Finite element modeling of multi-pass welding and shaped metal deposition processes. Computer Methods in Applied Mechanics and Engineering, 199(37–40), 2343–2359. https://doi.org/10.1016/J.CMA.2010.02.018.

Chua, B.L., Lee, H.J., Ahn, D.-G., & Wang, Y. (2019). A study on activation algorithm of finite elements for three-dimensional transient heat transfer analysis of directed energy deposition process. International Journal of Precision Engineering and Manufacturing, 20, 863–869. https://doi.org/10.1007/s12541-019-00118-9.

Deng, D., Liang, W., & Murakawa, H. (2007). Determination of welding deformation in fillet-welded joint by means. Journal of Materials Processing Technology, 183(2–3), 219–225. https://doi.org/10.1016/j.jmatprotec.2006.10.013.

Foteinopoulos, P., Papacharalampopoulos, A., & Stavropoulos, P. (2018). On thermal modeling of Additive Manufacturing processes. CIRP Journal of Manufacturing Science and Technology, 20, 66–83. https://doi.org/10.1016/j.cirpj.2017.09.007.

Fu, G., Gu, J., Lourenco, M.I., Duan, M., & Estefen, S.F. (2015). Parameter determination of double-ellipsoidal heat source model and its application in the multi-pass welding process. Ships and Offshore Structures, 10(2), 204–217. https://doi.org/10.1080/17445302.2014.937059.

Goldak, J., Chakravarti, A., & Bibby, M. (1984). A new finite element model for welding heat sources. Metallurgical Transactions B, 15, 299–305. https://doi.org/10.1007/BF02667333.

Hochmann, E.A., & Salehinia, I. (2018). How convection on the substrate affects the thermal history of the build in direct laser deposition – finite element analysis. The International Journal of Advanced Manufacturing Technology, 96, 3471–3480. https://doi.org/10.1007/s00170-018-1696-4.

Izadi, M., Farzaneh, A., Mohammed, M., Gibson, I., & Rolfe, B. (2020). A review of laser engineered net shaping (LENS)
build and process parameters of metallic parts. Rapid Prototyping Journal, 26(6), 1059–1078. https://doi.org/10.1108/RPJ-04-2018-0088.

Jiménez, M., Romero, L., Domínguez, I.A., Espinosa, M.D., & Domínguez, M. (2019). Additive manufacturing technologies: An overview about 3D printing methods and future prospects. Complexity, special iss. vol. 2019, https://doi.org/10.1155/2019/9656938.

Kik, T. (2020). Computational techniques in numerical simulations of arc and laser welding processes. Materials, 13(3), 608. https://doi.org/10.3390/ma13030608.

Kodama, H. (1981). Automatic method for fabricating a three‐dimensional plastic model with photo‐hardening polymer. Review of Scientific Instruments, 52(11), 1770. https://doi.org/10.1063/1.1136492.

Malmelöv, A. (2016). Modeling of additive manufacturing with reduced computational effort [master’s thesis]. Luleå University of Technology.

Pereira, J.C., Aranzabe, J., Taboada, M.C., Ruiz, N., & Rodriguez, P.P. (2021). Analysis of microstructure and mechanical properties in as-built/as-cast and heat-treated conditions for IN718 alloy obtained by selective laser melting and investment casting processes. Crystals, 11, 1196. https://doi.org/10.3390/cryst11101196.

Petrovic, V., Gonzalez, J.V.H., Ferrando, O.J., Gordillo, J.D., Puchades, J.R.B., & Grinan, L.P. (2011). Additive layered manufacturing: Sectors of industrial application shown through case studies. International Journal of Production Research, 49(4), 1061–1079. https://doi.org/10.1080/00207540903479786.

Stender, M.E., Beghini, L.L., Sugar, J.D., Veilleux, M.G., Subia, S.R., Smith, T.R., San Marchi, Ch.W., Brown, A.A., Dagel, D.J. (2018). A thermal-mechanical finite element workflow for directed energy deposition additive manufacturing process modeling. Additive Manufacturing, 21, 556–566. https://doi.org/10.1016/j.addma.2018.04.012.

Wang, L., & Felicelli, S. (2006). Study of heat transfer mechanisms during the LENS™ process. AMPT. Advances in Materials and Processing Technologies. July 30 – August 3, Las Vegas Nevada. https://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.522.6208&rep=rep1&type=pdf.

Wohlers, T.T., Campbell I., Diegel O., Huff R., & Kowen, J. (2020). 3D Printing and Additive Manufacturing Global State of the Industry. Wohlers Associates.

Ye, R., Smugeresky, J.E., Zheng, B., Zhou, Y., & Lavernia, E.J. (2006). Numerical modeling of the thermal behavior during the LENS process. Materials Science and Engineering A, 428(1–2), 47–53. https://doi.org/10.1016/j.msea.2006.04.079.