Inverse Determination of Johnson–Cook Parameters of Additively Produced Anisotropic Maraging Steel

In powder bed-based additive manufacturing (AM), complex geometries can be produced in a layer-wise approach. Results of material science experiments regarding material property identification, e.g., tensile strength, show interdependencies between the test load direction and the layer orientation....

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Main Authors: Rocco Eisseler, Daniel Gutsche, Clemens Maucher, Hans-Christian Möhring
Format: Article
Language:English
Published: MDPI AG 2021-12-01
Series:Materials
Subjects:
Online Access:https://www.mdpi.com/1996-1944/15/1/26
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author Rocco Eisseler
Daniel Gutsche
Clemens Maucher
Hans-Christian Möhring
author_facet Rocco Eisseler
Daniel Gutsche
Clemens Maucher
Hans-Christian Möhring
author_sort Rocco Eisseler
collection DOAJ
description In powder bed-based additive manufacturing (AM), complex geometries can be produced in a layer-wise approach. Results of material science experiments regarding material property identification, e.g., tensile strength, show interdependencies between the test load direction and the layer orientation. This goes hand-in-hand with the measured cutting force, changing with the relative angle between cutting direction and layer orientation in orthogonal cutting tests. However, due to the specific process characteristics, the layer orientation results in anisotropic material properties. Therefore, during machining, the material behaves depending on the buildup direction, which influences the cutting process. To predict this behavior, a simplified inverse approach is developed to determine the buildup direction-dependent parameters of a modified Johnson–Cook model for cutting simulation. To qualify these cutting models, mainly the cutting force and additionally the chip formation examined during orthogonal cuts are used. In the present paper, the influence of the laser-powder-bed-fusion (LPBF) process parameters on subtractive post-processing are shown. A good agreement between verification experiments and simulations is achieved.
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spelling doaj.art-6cae0a899236404eafdd8ba23bc085492023-11-23T11:46:51ZengMDPI AGMaterials1996-19442021-12-011512610.3390/ma15010026Inverse Determination of Johnson–Cook Parameters of Additively Produced Anisotropic Maraging SteelRocco Eisseler0Daniel Gutsche1Clemens Maucher2Hans-Christian Möhring3Institute for Machine Tools, University of Stuttgart, Holzgartenstrasse 17, 70174 Stuttgart, GermanyInstitute for Machine Tools, University of Stuttgart, Holzgartenstrasse 17, 70174 Stuttgart, GermanyInstitute for Machine Tools, University of Stuttgart, Holzgartenstrasse 17, 70174 Stuttgart, GermanyInstitute for Machine Tools, University of Stuttgart, Holzgartenstrasse 17, 70174 Stuttgart, GermanyIn powder bed-based additive manufacturing (AM), complex geometries can be produced in a layer-wise approach. Results of material science experiments regarding material property identification, e.g., tensile strength, show interdependencies between the test load direction and the layer orientation. This goes hand-in-hand with the measured cutting force, changing with the relative angle between cutting direction and layer orientation in orthogonal cutting tests. However, due to the specific process characteristics, the layer orientation results in anisotropic material properties. Therefore, during machining, the material behaves depending on the buildup direction, which influences the cutting process. To predict this behavior, a simplified inverse approach is developed to determine the buildup direction-dependent parameters of a modified Johnson–Cook model for cutting simulation. To qualify these cutting models, mainly the cutting force and additionally the chip formation examined during orthogonal cuts are used. In the present paper, the influence of the laser-powder-bed-fusion (LPBF) process parameters on subtractive post-processing are shown. A good agreement between verification experiments and simulations is achieved.https://www.mdpi.com/1996-1944/15/1/26additive manufacturingmachining simulationinverse parameter identificationmaterial propertymaraging steel
spellingShingle Rocco Eisseler
Daniel Gutsche
Clemens Maucher
Hans-Christian Möhring
Inverse Determination of Johnson–Cook Parameters of Additively Produced Anisotropic Maraging Steel
Materials
additive manufacturing
machining simulation
inverse parameter identification
material property
maraging steel
title Inverse Determination of Johnson–Cook Parameters of Additively Produced Anisotropic Maraging Steel
title_full Inverse Determination of Johnson–Cook Parameters of Additively Produced Anisotropic Maraging Steel
title_fullStr Inverse Determination of Johnson–Cook Parameters of Additively Produced Anisotropic Maraging Steel
title_full_unstemmed Inverse Determination of Johnson–Cook Parameters of Additively Produced Anisotropic Maraging Steel
title_short Inverse Determination of Johnson–Cook Parameters of Additively Produced Anisotropic Maraging Steel
title_sort inverse determination of johnson cook parameters of additively produced anisotropic maraging steel
topic additive manufacturing
machining simulation
inverse parameter identification
material property
maraging steel
url https://www.mdpi.com/1996-1944/15/1/26
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