Filtern
Dokumenttyp
- Forschungsbericht (2) (entfernen)
Referierte Publikation
- nein (2)
Schlagworte
- Eigenspannungen (1)
- Inverse heat conduction problem (1)
- Mehrlagenschweißen (1)
- Multiple experiments (1)
- Neural networks (1)
- Schweißsimulation (1)
- Short calculation time (1)
- Sysweld (1)
- Temperature field generation (1)
- Validierung (1)
- Verzug (1)
- Welding simulation (1)
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.
Die Schweißsimulation dickwandiger Bauteile stellt aufgrund der erhöhten Komplexität der thermophysikalischen und thermomechanischen Vorgänge beim Mehrlagenschweißen hohe Anforderungen an kommerziell verfügbare Schweißsimulationssoftware. Das umfasst die während des Fügeprozesses induzierten Verzüge und Eigenspannungen in das gefertigte Bauteil, welche zur Beurteilung der Fertigungsqualität von großer Bedeutung sind. Gerade in dickwandigen Bauteilen ist der Spannungszustand sowohl bedingt durch die konstruktive Steifigkeit der einzelnen Bauteile sowie der gesamten Baugruppe als auch aufgrund zusätzlicher externer Einspannvorrichtungen bei der Fertigung überaus komplex. Hinzu kommen bei Werkstoffen mit Phasenumwandlung noch die metallurgisch verursachten Spannungszustände und bei mehrlagig ausgeführten Schweißverbindungen die wiederholte thermische und umwandlungsbedingte Spannungsausbildung, so dass eine überschlägige Abschätzung des gesamten Verformungs- und Spannungszustandes auch für Experten in der Regel nicht mehr möglich ist. Die vorherrschenden Verformungen und Spannungen bestimmen jedoch maßgeblich die Eigenbeanspruchung der Schweißkonstruktion und damit deren Belastbarkeit im Betrieb. Eine genaue Kenntnis dieser Daten würde wertvolle Informationen zur Qualitätsoptimierung des Endproduktes liefern.