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Inverse Determination of Johnson–Cook Parameters of Additively Produced Anisotropic Maraging Steel
by
Möhring, Hans-Christian
, Eisseler, Rocco
, Gutsche, Daniel
, Maucher, Clemens
in
Additive manufacturing
/ Chip formation
/ Cutting force
/ Cutting parameters
/ Influence
/ Machining
/ Maraging steels
/ Material properties
/ Mathematical models
/ Orientation
/ Parameter identification
/ Parameter modification
/ Powder beds
/ Process parameters
/ Simulation
/ Steel alloys
/ Strain hardening
/ Tensile strength
/ Titanium alloys
2021
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Inverse Determination of Johnson–Cook Parameters of Additively Produced Anisotropic Maraging Steel
by
Möhring, Hans-Christian
, Eisseler, Rocco
, Gutsche, Daniel
, Maucher, Clemens
in
Additive manufacturing
/ Chip formation
/ Cutting force
/ Cutting parameters
/ Influence
/ Machining
/ Maraging steels
/ Material properties
/ Mathematical models
/ Orientation
/ Parameter identification
/ Parameter modification
/ Powder beds
/ Process parameters
/ Simulation
/ Steel alloys
/ Strain hardening
/ Tensile strength
/ Titanium alloys
2021
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While trying to remove the title from your shelf something went wrong :( Kindly try again later!
Do you wish to request the book?
Inverse Determination of Johnson–Cook Parameters of Additively Produced Anisotropic Maraging Steel
by
Möhring, Hans-Christian
, Eisseler, Rocco
, Gutsche, Daniel
, Maucher, Clemens
in
Additive manufacturing
/ Chip formation
/ Cutting force
/ Cutting parameters
/ Influence
/ Machining
/ Maraging steels
/ Material properties
/ Mathematical models
/ Orientation
/ Parameter identification
/ Parameter modification
/ Powder beds
/ Process parameters
/ Simulation
/ Steel alloys
/ Strain hardening
/ Tensile strength
/ Titanium alloys
2021
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Inverse Determination of Johnson–Cook Parameters of Additively Produced Anisotropic Maraging Steel
Journal Article
Inverse Determination of Johnson–Cook Parameters of Additively Produced Anisotropic Maraging Steel
2021
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Overview
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.
Publisher
MDPI AG,MDPI
Subject
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