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Eingeladener Vortrag
- nein (64)
Through experimental observation and auxiliary numerical simulation, this investigation studies the different types of grain refinement of 5754 aluminum alloy laser beam welding by applying a transverse oscillating magnetic field. Scanning electron microscope results have proved that the application of a magnetic field can reduce the average crystal branch width and increase its number. The interaction between the induced eddy current generated by the Seebeck effect and the applied external magnetic field produces a Lorentz force, which is important for the increase of the number of crystal branches. Based on the theory of dendrite fragmentation and the magnetic field-induced branches increment, the grain size reduction caused by the magnetic field is studied. Furthermore, the effects of the magnetic field are analyzed by combining a phase field method model and simulations of nucleation and grain growth. The grain distribution and average grain size after welding verifies the reliability of the model. In addition, the introduction of a magnetic field can increase the number of periodic three-dimensional solidification patterns. In the intersection of two periods of solidification patterns, the metal can be re-melted and then re-solidified, which prevents the grains that have been solidified and formed previously from further growth and generates some small cellular grains in the new fusion line. The magnetic field increases the building frequency of these solidification structures and thus promotes this kind of grain refinement.
Experimental investigation of the laser-plume interaction during high power fiber laser welding
(2011)
The effect of the well-known plasma absorption and refraction in CO2-laser metal welding plumes is in case of high power solid state laser welding negligibly small. By contrast, the diffraction effects of shorter wavelength laser radiation are considerable. According
to the results of preliminary studies, the fine condensed metal particles in the welding plume can lead to essential worsening of the laser beam quality.
This work is devoted to the investigation of the lasermatter interaction during up to 20 kW ytterbium fiber laser welding of thick mild steel plates. The plume attenuation of a probe 1.3 µm wavelength diode laser beam as well as of continuous radiation in 250-600 nm
wavelength range was measured during welding with and without Ar shielding gas supply. The measured results allow it to calculate average size and concentration of fine condensed metal particles in
different plume areas using the multi-wavelength method and the Mie scattering theory. The plume temperature, which determines the condensation conditions, was measured by means of Fe I atom
spectral line emission registration.
The obtained results can be also of interest for remote metal treatment with high-power fiber or disc lasers.
Experimental study and numerical simulation of hot crack formation for novel laser weldability test
(2015)
Experimental study and numerical simulation of hot crack formation for novel laser weldability test
(2015)
Hot cracking susceptibility in laser beam welding was assessed for several stainless steels by means of the CTW test
The strain rate has a significant influence on the formation of the hot crack
It was possible to determine the critical strain and strain rate that led to shot crack formation
A material ranking of hot cracking resistance could be made.A three-dimensional FEM using the contact element technique to simulate hot cracking during LBW under external load conditions was developed.
Good agreement between the strain field measured using the DIC technique and the simulation results
Susceptibility to hot cracking can be predicted by using FEM with the correct mechanical and thermo-physical material properties
Experimental study and numerical simulation of hot crack formation for novel laser weldability test.
(2015)
Laser beam welding is a widely established manufacturing process in several industries. The solidification cracking seriously effecting the safety of welded joints could arise during the beam welding of stainless steels caused by high solidification rates. In this study the controlled tensile weldability test (CTW) was used to investigate the solidification cracking susceptibility the fully austenitic stainless steels CrMnNi (1.4376), CrNi (1.4301), CrNiMo (1.4404) and CrNiSi (1.4828) during laser beam welding. The test facility allows welding of specimens with simultaneous application of tensile load along or cross to the welding direction while the speed of tensile force application is either constant or increases linearly. The tensile force increment and/or the displacement are set by means of a CNC controller. Trials were conducted by varying the ultimate tensile strain and cross-head speed while keeping the welding parameters constant. By observing the crack-no crack behaviour and estimating the generated crack length for each trail using a new optimized experimental procedure the influence of the two important conditions (the strain and the strain rate) for the formation of solidification cracks can be investigated, the critical values of strain and strain rate that are responsible for solidification cracking formation have been determined. In the present study a three-dimensional FEM using the contact element technique was developed to simulate the solidification cracking during laser full penetration welding under external load conditions for the steel 1.4376 in order to get a better understanding of the mechanisms of hot crack initiation and the theoretical results were compared to the experimental ones. By comparing the resulting solidification crack with simulated crack, it is possible to determine the critical condition of solidification crack formation in the region where the strains and the strain rates cannot be measured due to the high temperature. The results show a good agreement between numerical calculation and experiment. It is proposed that the solidification cracking susceptibility may be predicted by FEM analysis by using the correct mechanical and thermo-physical constants of the materials.
Die in dieser Studie vorgestellte einfache Probengeometrie zeigt sich in Verbindung mit der
angewandten Versuchs- und Auswertemethodik geeignet, um den umwandlungsplastischen (TRIP)-Parameter K unter Verwendung des thermomechanischen Simulators Gleeble® 3500 experimentell zu bestimmen.
Der TRIP-Parameter K wurde für die Grundwerkstoffe S355J2+N und S960QL, sowie für den hochlegierten Zusatzwerkstoff CN13-4 -IG bestimmt.
Die numerische Einflussanalyse zeigt, dass bei der Berechnung von (Oberflächen-)Schweißeigen-spannungen die Vernachlässigung des TRIP-Effektes kaum einen Einfluss auf die Längseigenspannungen hat. Im Gegensatz da zu resultieren gegenüber dem Referenzfall signifikante Abweichungen der
Quereigenspannungen im und um den Schweißnahtbereich.
Die Verdopplung des TRIP-Parameters K gegenüber dem Referenzfall hat nur einen vernachlässigbaren Einfluss auf die Längs- sowie Quereigenspannungen auf der Oberfläche.
Für eine qualitative und quantitative numerische Nachbildung der experimentell bestimmten Längs- und Quereigenspannungen ist die Berücksichtigung der Größenordnung des material-abhängigen TRIP-Parameters K notwendig.
Experimentelle und numerische Analyse des Geometrieeinflusses auf den Schweißeigenspannungszustand
(2009)
Die vorliegende Arbeit stellt Untersuchungen im Rahmen eines Forschungsprojektes mit Schwerpunkt in der experimentellen und numerischen Analyse schweißbedingter Eigenspannungen und Verzüge beim Mehrlagenschweißen dar. Das Auftreten von kritischen Eigenspannungszuständen und untolerierbaren Verzügen während des Fertigungsprozesses verursacht durch erforderliche Nacharbeiten, wie z.B. Richten oder Wärmenachbehandlungen, zusätzliche Kosten. Diese Nacharbeiten können vermieden werden, wenn die numerische Schweißsimulation auf der Grundlage von zuverlässigen Berechnungsergebnissen zur Optimierung angewandt wird.
Die Analyse des Eigenspannungszustandes erfolgt an 5 mm dicken Blechen des unlegierten Baustahls S355J2, wobei Stumpfnaht-Verbindungen mittels Metall-Aktiv-Gas-(MAG)-Schweißen ausgeführt worden sind. Im Zusammenhang mit den Experimenten werden sowohl Temperaturzyklen und Eigenspannungen gemessen als auch Schmelzbadgeometrie und Mikrostruktur ermittelt.
Auf der Basis eines experimentell validierten Temperaturfeldes und umfangreichen röntgenografischen Eigenspannungsuntersuchungen erfolgen numerische Strukturberechnungen. Die auftretenden Phasenumwandlungen werden in der Simulation berücksichtigt.
Die Betrachtung verschiedener Blechkonfigurationen gibt den Einfluss der Blechlänge auf das Niveau der entstehenden Eigenspannungen wieder. Es stellt sich heraus, dass sich die Quereigenspannungen in den nahtnahen Bereich mit zunehmender Blechlänge in den Druckbereich verschieben. Dieses Verhalten kann durch die experimentell validierte Struktursimulation des vorliegenden Prozesses numerisch abgebildet werden und schafft somit den Ausgangspunkt für die spätere Berechnung von mehrlagigen Schweißnähten.
Extended weldability lobes in resistance spot welding of advanced high strength steels (AHSS)
(2009)
The objective of this paper is to demonstrate a new simulation technique which allows the fast and automatic generation to temperature fields based on a combination of empirical and phenomenological modelling techniques. The automatic calibration of the phenomenological model is performed by a multi-variable global optimisation routine which yields the optimal fit between simulated and experimental weld charcteristics without the need for initial model parameters. For exemplary welding processes it is shown that linear 3D heat conduction models can approximate measured temperature fields with a high accuracy. The modelling approach presented comprises the automatic calibration against multiple experiments which permits simulating the temperature field for unknown process parameters. The validation of this composite simulation model is performed for exemplary welding processes and includes the prediction of the fusion line in the cross section and the corresponding thermal cycles.
Fast temperature field generation for welding simulation and reduction of experimental effort
(2009)
The quality of welding processes is governed by the occurring induced distortions yielding an
increase in production costs due to necessary reworking. Especially for more complex specimens
it is difficult to evaluate the optimal configuration of welding sequences in order to
minimise the distortion. Even experienced welding operators can solve this task only by trial
and error which is time and cost consuming.
In modern engineering the application of welding simulation is already known to be able to
analyse the heat effects of welding virtually. However, the welding process is governed by
complex physical interactions. Thus, recent weld thermal models are based on many simplifications.
The state of the art is to apply numerical methods in order to solve the transient heat
conduction equation. Therefore, it is not possible to use the real process parameters as input
for the mathematical model. The model parameters which allow calculating a temperature
field that is in best agreement with the experiments cannot be defined directly but inversely by
multiple simulations runs. In case of numerical simulation software based on finite discretisation
schemes this approach is very time consuming and requires expert users. The weld
thermal model contains an initial weakness which has to be adapted by finding an optimal set
of model parameters. This process of calibration is often done against few experiments. The
range of model validity is limited. An extension can be obtained by performing a calibration
against multiple experiments.
The focus of the paper is to show a combined modelling technique which provides an efficient
solution of the inverse heat conduction problem mentioned above. On the one hand the inverse
problem is solved by application of fast weld thermal models which are closed form
solutions of the heat conduction equation. In addition, a global optimisation algorithm allows
an automated calibration of the weld thermal model. This technique is able to provide a temperature
field automatically that fits the experimental one with high accuracy within minutes
on ordinary office computers. This fast paradigm permits confirming the application of welding
simulation in an industrial environment as automotive industry.
On the other hand, the initial model weakness is compensated by calibrating the model
against multiple experiments. The unknown relationship between model and process parameters
is approximated by a neural network. The validity of the model is increased successively
and enables to decrease experimental effort. For a test case it is shown, that this approach
yields accurate temperature fields within very short amount of time for unknown process parameters
as input data to the model contributing to the requirement to construct a substitute
system of the real welding process.