Now showing 1 - 5 of 5
  • Publication
    Relative density prognosis for directed energy deposition with the help of artificial neural networks
    ( 2021)
    Marko, A.
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    Schafner, A.
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    Raute, J.
    ;
    Rethmeier, M.
    Additive manufacturing, and therefore directed energy deposition, is gaining more and more interest from industrial users. However, quality assurance for the components produced is still a challenge. Machine learning, especially using artificial neuronal networks, is a potential method for ensuring a high-quality standard. Based on process parameters and monitoring data, part quality can be predicted. A further advantage is the ability to constantly learn and adopt to slight process changes. First tests using artificial neural networks focus on the prediction of track geometry. The results show that even a small data set is enough to provide high accuracy in the predictions. In this work, an artificial neural network for the predictive analysis of relative density in laser powder cladding has been developed. A central composite experimental design is used to generate 19 data sets. Input variables are laser power, feed rate and powder mass flow. Cubes are built up where density is considered as a target value. Several neural networks are trained and evaluated with these data sets. Different topologies and initial weights are considered. The best network reaches a confidence level of around 90 % for the prediction of relative density based on the process parameters. Finally, the optimization of the generalization performance is investigated. To this purpose, methods of variation in error limit as well as cross-validation are applied. In this way, density is predictable by an artificial neural network with an accuracy of about 95 %.
  • Publication
    Influence of electron beam welding parameters on the weld seam geometry of Inconel 718 at low feed rates
    ( 2020)
    Raute, Julius
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    Jokisch, Torsten
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    Marko, Angelina
    ;
    ;
    Ni-based superalloys are well established in various industrial applications, because of their excellent mechanical properties and corrosion resistance at high temperatures. Despite the high development stage and a common industrial use of these alloys, hot cracking remains a major challenge limiting the weldability of the materials. As commonly known, the hot cracking susceptibility during welding increases with the amount of precipitation phases. Hence, a large amount of highstrength Ni-Alloys is rated as non-weldable. A new approach based on electron beam welding at low feed rates shows great potential for reducing the hot cracking tendency of precipitation-hardened alloys. However, geometry and properties of the weld seam differ significantly in comparison to the common process range for practical uses. The aim of this study is to investigate the influence of welding parameters on the seam geometry at low feed rates between 1 mm/s and 10 mm/s. For this purpose, 25 bead on plate welds on a 12 mm thick sheet made of Inconel 718 are carried out. First, the relevant parameters are identified by performing a screening. Then the effects discovered are further studied by using a central composite design. The results show a significant difference between the analyzed weld seam geometry in comparison to the well-known appearance of electron beam welded seams.
  • Publication
    Mechanical properties characterization of resistance spot welded DP1000 steel under uniaxial tensile tests
    ( 2019)
    Javaheri, E.
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    Pittner, A.
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    Graf, B.
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    Rethmeier, M.
    Resistance spot welding (RSW) is widely used in the automotive industry as the main joining method. Generally, an automotive body contains around 2000 to 5000 spot welds. Therefore, it is of decisive importance to characterize the mechanical properties of these areas for the further optimization and improvement of an automotive body structure. The present paper aims to introduce a novel method to investigate the mechanical properties and microstructure of the resistance spot weldment of DP1000 sheet steel. In this method, the microstructure of RSW of two sheets was reproduced on one sheet and on a bigger area by changing of the welding parameters, e. g. welding current, welding time, electrode force and type. Then, tensile tests in combination with digital image correlation (DIC) measurement were performed on the notched tensile specimens to determine the mechanical properties of the weld metal. The notch must be made on the welded tensile specimen to force the fracture and elongation on the weld metal, enabling the characterization of its properties. Additionally, the parameters of a nonlinear isotropic material model can be obtained and verified by the simulation of the tensile specimens. The parameters obtained show that the strength of DP1000 steel and the velocity of dislocations for reaching the maximum value of strain hardening, are significantly increased after RSW. The effect of sample geometry and microstructural inhomogeneity of the welded joint on the constitutive property of the weld metal are presented and discussed.
  • Publication
    Porosity of LMD manufactured parts analyzed by Archmimedes method and CT
    ( 2018)
    Marko, Angelina
    ;
    Raute, Julius
    ;
    Linaschke, Dorit
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    Graf, Benjamin
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    Pores in additive manufactured metal parts occur due to different reasons and affect the part quality negatively. Few investigations on the origins of porosity are available, especially for Ni-based super alloys. This paper presents a new study to examine the influence of common processing parameters on the formation of pores in parts built by laser metal deposition using Inconel 718 powder. Further, a comparison between the computed tomography (CT) and the Archimedes method was made. The investigation shows that CT is able to identify different kinds of pores and to give further information about their distribution. The identification of some pores as well as their shape can be dependent on the parameter setting of the analysis tool. Due to limited measurement resolution, CT is not able to identify correctly pores with diameters smaller than 0.1 mm, which leads to a false decrease in overall porosity. The applied Archimedes method is unable to differentiate between gas porosity and other kinds of holes like internal cracks or lack of fusion, but it delivered a proper value for overall porosity. The method was able to provide suitable data for the statistical evaluation with design of experiments, which revealed significant parameters on the formation of pores in LMD.
  • Publication
    Statistische Analyse der Schweißraupengeometrie von Ti6Al4V beim Laserbeschichten
    ( 2017)
    Marko, Angelina
    ;
    Graf, Benjamin
    ;
    Die Bedeutung des Laser-Pulver-Auftragsschweiß-Prozesses hat in den letzten Jahren enorm zugenommen, da er vielfältig eingesetzt werden kann. Ein Beispiel hierfür ist die Reparatur von Turbinenschaufeln. Um eine hohe Qualität und Zuverlässigkeit hierbei zu gewährleisten, ist eine Anpassung der Schweißraupengeometrie an die jeweilige Reparaturaufgabe notwendig. Die Schweißraupengeometrie beeinflusst die metallurgische Verbindung und den Grad der Aufmischung sowie eventuelle Anbindungsfehler. Aus diesem Grund ist es wichtig, die Effekte der unterschiedlichen Parameter auf die Spurgeometrie zu kennen. Ein bewährtes Werkzeug hierfür ist die statistische Versuchsplanung (DoE). Hierbei kann der Nutzer jedoch zwischen einer Vielzahl von Versuchsplänen wählen. Es wird davon ausgegangen, dass bei größeren Versuchsräumen ein höherer Informationsgewinn erfolgt. Aus diesem Grund wird in dieser Arbeit ein vollfaktorieller Versuchsplan, der in fünf Stufen variiert wird, mit einem zentral zusammengesetzten Versuchsplan (CCD) verglichen. Außerdem werden Grenzen des Prozesses aufgezeigt und der Versuchsraum entsprechend durch Eingrenzungen angepasst. Die Ergbnisse zeigen, dass sowohl der vollfaktorielle Versuchsplan als auch der zentral zusammengesetzte Versuchsplan die wichtigsten Effekte aufzeigt. Lediglich die Effektstärke kann durch den CCD-Versuchsplan nicht eindeutig bestimmt werden. Für den industriellen Einsatz wird daher unter Berücksichtigung der Kosteneffizienz der Einsatz eines CCD-Versuchsplanes empfohlen.