Investigations on Additive Manufacturing of WCCo Hard Metals by Laser Beam Melting

2017 ◽  
Vol 54 (9) ◽  
pp. 577-595 ◽  
Author(s):  
T. Schubert ◽  
A. Breninek ◽  
T. Bernthaler ◽  
D. Sellmer ◽  
M. Schneider ◽  
...  
Keyword(s):  
Additive Manufacturing ◽  
Laser Beam ◽  
Laser Beam Melting ◽  
Hard Metals

scholarly journals FUNCTIONAL MODELING IN THE DESIGN OF ADDITIVELY MANUFACTURED COMPONENTS

2020 ◽  
Vol 1 ◽  
pp. 877-886
Author(s):  
E. Garrelts ◽  
D. Roth ◽  
H. Binz
Keyword(s):  
Additive Manufacturing ◽  
Laser Beam ◽  
Functional Modeling ◽  
Modeling Methods ◽  
Laser Beam Melting

AbstractThis contribution investigates how methods for functional modeling support designers with additive manufacturing. Therefore, two methods for functional modeling are examined. In this contribution a study with 32 participants is presented. The participants solved two consecutive design tasks, in which some participants were supported by functional modeling methods in the second task. The study shows that students have the most difficulties in dealing with the geometric restrictions of Laser Beam Melting (LBM). Furthermore, the support value of functional modeling was not able to be assessed.

Mechanical Testing of Additive Manufactured Metal Parts

2015 ◽  
Vol 651-653 ◽  
pp. 713-718 ◽  
Author(s):  
Marion Merklein ◽  
Raoul Plettke ◽  
Daniel Junker ◽  
Adam Schaub ◽  
Bhrigu Ahuja
Keyword(s):  
Mechanical Properties ◽  
Surface Roughness ◽  
Stainless Steel ◽  
Additive Manufacturing ◽  
Laser Beam ◽  
Round Robin Test ◽  
Metal Parts ◽  
Laser Beam Melting ◽  
Made In

The quality of additive manufactured parts however depends pretty much on the workers experience to control porosity, layer linkage and surface roughness. To analyze the robustness of the Laser Beam Melting (LBM) process a Round Robin test was made in which specimens from four institutes from different countries were tested and compared. For the tests each institute built a set of specimens out of stainless steel 1.4540. The aim of this work is to analyze the influence of the process parameters on the mechanical properties. The results show that there is a high potential for additive manufacturing but also a lot of further research is necessary to optimize this technology.

Assessment of geometrical defects caused by thermal distortions in laser-beam-melting additive manufacturing: a simulation approach

2019 ◽  
Vol 25 (5) ◽  
pp. 939-950
Author(s):  
Corentin Douellou ◽  
Xavier Balandraud ◽  
Emmanuel Duc
Keyword(s):  
Additive Manufacturing ◽  
Laser Beam ◽  
Computer Aided Design ◽  
Complex Geometry ◽  
Initial Step ◽  
Numerical Approach ◽  
Content Type ◽  
Laser Beam Melting ◽  
Flatness Defect ◽  
Geometrical Defects

Purpose The purpose of this paper is to develop a numerical approach inspired by Geometrical Product Specifications (GPS) standards for the assessment of geometrical defects appearing during Additive Manufacturing (AM) by Laser Beam Melting (LBM). Design/methodology/approach The study is based on finite element (FE) simulations of thermal distortions, then an assessment of flatness defects (warping induced by the high-residual stresses appearing during the manufacturing) from the deformed surfaces provided by simulation, and finally the correction of the calculated flatness defects from preliminary comparison between simulated and experimental data. Findings For an elementary geometrical feature (a wall), it was possible to identify the variation in the flatness defect as a function of the dimensions. For a complex geometry exhibiting a significant flatness defect, it was possible to improve the geometric quality using the numerical tool. Research limitations/implications To the best of the author’s knowledge, this work is the first attempt using a numerical approach inspired by GPS standards to identify variations in thermal distortions caused by LBM, which is an initial step toward optimization. This paper is mainly focused on flatness defect assessment, even though the approach is potentially applicable for all types of geometrical defects (shape, orientation or position defects). Practical implications The study opens prospects for the optimization of complex parts elaborated using LBM, based on the minimization of the geometric defects caused by thermal distortions. Social implications The prospects in terms of shape optimization will extend the potential to benefit from the new possibilities offered by LBM additive manufacturing. Originality/value Unlike the usual approach, the proposed methodology does not require any artifacts or comparisons with the computer-aided-design (CAD) model for geometrical distortion assessment. The present approach opens up the possibility of performing metrology from FE simulation results, which is particularly promising in the AM field.

Kostenmodell für das Laserstrahlschmelzen*/Cost modell for laser beam melting - Determination and analysis of cost and performance characteristics for additive manufacturing

2017 ◽  
Vol 107 (06) ◽  
pp. 432-438
Author(s):  
J. Prof. Schleifenbaum ◽  
T. Pichler ◽  
B. Hoppe
Keyword(s):  
Additive Manufacturing ◽  
Laser Beam ◽  
Operating Conditions ◽  
Performance Characteristics ◽  
Specific Component ◽  
Processing Strategies ◽  
Laser Beam Melting ◽  
Input Variables ◽  
And Performance ◽  
Application Specific

Der Fachartikel stellt ein Modell zur Berechnung von Kosten- und Leistungskennwerten für Anlagen für das Laserstrahlschmelzen vor. Die Besonderheiten des Modells liegen dabei in der realitätsnahen Berücksichtigung anwendungsspezifischer Bauteilgeometrien sowie Prozessführungsstrategien von Anlagentechnik und Betriebsbedingungen. Mit Beispielen wird der Einfluss dieser Eingangsgrößen aufgezeigt und die Bedeutung einer möglichst genauen Modellierung herausgestellt.   In this paper, a model for the calculation of cost and performance characteristics for laser beam melting systems is presented. The specific features of the model are the realistic consideration of application-specific component geometries, processing strategies, machines and operating conditions. The influence of these input variables is demonstrated by means of examples.

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