TY - CONF A1 - Pittner, Andreas A1 - Weiss, D. A1 - Schwenk, Christopher A1 - Rethmeier, Michael ED - V.I. Makhnenko, T1 - Fast generation and prediction of welding temperature fields for multiple experiments N2 - 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. T2 - 4th International Conference - Mathematical modelling and information technologies in welding and related processes CY - Katsiveli, Crimea, Ukraine DA - 2008-05-27 KW - Welding simulation KW - GMA-laser hybrid welding KW - Laser beam welding KW - Neural networks KW - Global optimisation KW - Stochastic search method KW - Inverse heat conduction problem KW - Model prediction PY - 2008 SP - 134 EP - 140 CY - Kiev, Ukraine AN - OPUS4-19639 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - RPRT A1 - Pittner, Andreas A1 - Weiss, D. A1 - Schwenk, Christopher A1 - Rethmeier, Michael T1 - Fast temperature field generation for welding simulation and reduction of experimental effort N2 - 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. KW - Welding simulation KW - Temperature field generation KW - Short calculation time KW - Multiple experiments KW - Inverse heat conduction problem KW - Neural networks PY - 2009 IS - SC-Auto-32-09 SP - 1 EP - 11 PB - International Institute of Welding CY - Paris AN - OPUS4-19744 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - JOUR A1 - Pittner, Andreas A1 - Karkhin, Victor A1 - Rethmeier, Michael T1 - Reconstruction of 3D transient temperature field for fusion welding processes on basis of discrete experimental data N2 - This paper presents an approach to reconstruct the three-dimensional transient temperature field for fusion welding processes as input data for computational weld mechanics. The methodology to solve this inverse heat conduction problem fast and automatically focuses on analytical temperature field models for volumetric heat sources and application of global optimisation. The important issue addressed here is the question which experimental data is needed to guarantee a unique reconstruction of the experimental temperature field. Different computational-experimental test cases are executed to determine the influence of various sets of discrete experimental data on the solvability of the optimisation problem. The application of energy distributions utilised for laser beam welding allows reconstructing the temperature field efficiently. Furthermore, the heat input into the workpiece determined by the simulation contributes to the evaluation of the thermal efficiency of the welding process. KW - Welding KW - Temperature KW - Analysis techniques KW - Optimisation KW - Laser beams KW - Hybrid laser arc welding PY - 2015 DO - https://doi.org/10.1007/s40194-015-0225-4 SN - 0043-2288 SN - 1878-6669 VL - 59 IS - 4 SP - 497 EP - 512 PB - Springer CY - Oxford AN - OPUS4-33730 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - JOUR A1 - Heinze, Christoph A1 - Pittner, Andreas A1 - Rethmeier, Michael A1 - Babu, S. S. T1 - Dependency of martensite start temperature on prior austenite grain size and its influence on welding-induced residual stresses N2 - Austenite grain growth during welding is a critical factor for controlling weld microstructure in addition to nominal composition and thermal cycles. Recently, experimental data suggesting a decrease in martensite start temperature with a decrease in prior austenite grain size has been published. However, the actual sensitivity of this phenomenon on residual stresses evolution in the heat-affected zone has not been investigated, yet. Therefore, a numerical model was modified to consider this phenomenon. Numerical simulations were performed for welding of a low-alloy structural steel with minimum yield strength of 355 MPa (S355J2+N) and a heat-resistant steel P91 or 9Cr–1Mo, respectively. The results clarify the influence of prior austenite grain size on the residual stress development and show the importance martensite transformation temperatures and final martensite fraction. Consequently, the residual stress evolution of P91, which completely transforms to martensite while cooling, based on the enhanced model leads to maximum stress differences of 200 MPa in the heat-affected zone. KW - Prior austenite grain size KW - Martensite start temperature KW - Welding-induced residual stress KW - Numerical simulation KW - Gas metal arc welding PY - 2013 DO - https://doi.org/10.1016/j.commatsci.2012.11.058 SN - 0927-0256 VL - 69 SP - 251 EP - 260 PB - Elsevier CY - Amsterdam AN - OPUS4-27633 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - JOUR A1 - Chang, Y.-J. A1 - Sproesser, G. A1 - Neugebauer, S. A1 - Wolf, K. A1 - Scheumann, R. A1 - Pittner, Andreas A1 - Rethmeier, Michael A1 - Finkbeiner, M. T1 - Environmental and social life cycle assessment of welding technologies N2 - Life Cycle Assessment (LCA) and Social Life Cycle Assessment (SLCA) are applied in evaluating possible social and environmental impacts of the state-of-art welding technologies, such as Manual Metal Arc Welding (MMAW), Manual Gas Metal Arc Welding (GMAW), Automatic GMAW and Automatic Laser-Arc Hybrid Welding (LAHW). The LCA results indicate that for 1 meter weld seam, MMAW consumes the largest amount of resources (like filler material and coating on electrodes) and energy, which contributes to comparatively higher environmental impacts in global warming potential, acidification, photochemical ozone creation potential and eutrophication than other chosen processes. With regard to social aspects, the health issues and fair salary are under survey to compare the relative potential risk on human health caused by fumes in different welding technologies, and to indicate the sufficiency of current salary of welders in Germany. The results reflect that the wage status of welders is still fair and sufficient. The manual processes bring much higher potential risk of welders’ health than the automatic processes, especially MMAW. KW - Fair salary KW - Human health KW - Life Cycle Assessment (LCA) KW - Social Life Cycle Assessment (SLCA) KW - Welding PY - 2015 DO - https://doi.org/10.1016/j.procir.2014.07.084 SN - 2212-8271 VL - 26 SP - 293 EP - 298 PB - Elsevier CY - Amsterdam [u.a.] AN - OPUS4-33036 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - JOUR A1 - Stegemann, Robert A1 - Cabeza, Sandra A1 - Lyamkin, V. A1 - Bruno, Giovanni A1 - Pittner, Andreas A1 - Wimpory, Robert A1 - Boin, M. A1 - Kreutzbruck, Marc T1 - Residual stress characterization of steel TIG welds by neutron diffraction and by residual magnetic stray field mappings N2 - The residual stress distribution of tungsten inert gas welded S235JRC+C plates was determined by means of neutron diffraction(ND). Large longitudinal residual stresses with maxima around 600 MPa were found. With these results as reference, the evaluation of residual stress with high spatial resolution GMR (giant magneto resistance) sensors was discussed. The experiments performed indicate a correlation between changes in residual stresses (ND) and the normal component of local residual magnetic stray fields (GMR). Spatial variations in the magnetic field strength perpendicular to the welds are in the order of the magnetic field of the earth. KW - GMR KW - Magnetic stray field KW - Neutron diffraction KW - Residual stress KW - TIG-welding PY - 2017 DO - https://doi.org/10.1016/j.jmmm.2016.11.102 SN - 0304-8853 SN - 1873-4766 VL - 426 SP - 580 EP - 587 PB - Elsevier CY - Amsterdam AN - OPUS4-38678 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - RPRT A1 - Pittner, Andreas A1 - Fabry, Çağtay T1 - Abschlussbericht IGF 17.923 N: "Sensorgestütztes MSG-Engspaltschweißen von Feinkornstählen mit modifizierter Prozessführung im Dickblechbereich" N2 - Die im Forschungsvorhaben erzielten Ergebnisse zeigen konkrete technische Lösungen für die automatisierte Anwendung des MSG Engspaltschweißen, sowohl mittels optischer als auch prozessorientierter Sensorik, und sprechen damit ein breites Spektrum möglicher Anwender, insbesondere KMU, an. Die Seitenführung des Brenners auf Basis der optischen Messgrößen stellt eine robuste und einfach zu implementierende Möglichkeit zur Nahtverfolgung dar. Für die Höhenführung über der Schweißnaht wurde neben der Lösung mittels optischer Messverfahren zusätzlich eine direkt darauf aufbauende Möglichkeit zur Implementierung eines Lichtbogensensors abgeleitet. Das Vorgehen konnte sowohl für Sprühlichtbogenprozesse als auch bei Verwendung von Impulslichtbogenprozessen erfolgreich angewendet werden. Die zur Sicherstellung eines gleichmäßigen Flankeneinbrandes entwickelte Pendelregelung ist ebenfalls für unterschiedliche Lichtbogenarten einsetzbar und muss vom Anwender auch beim Einsatz einer großen Bandbreite unterschiedlicher Prozessparameter nahezu nicht konfiguriert werden. Neben der im Rahmen der Verfahrensprüfung untersuchten Pendelraupentechnik konnte die Übertragbarkeit des Vorgehens auch auf die Strichraupentechnik anhand von gezielten Schweißversuchen aufgezeigt werden. Die zunächst auf Basis der optischen Messwerte ausgelegte Füllgradregelung konnte die vorgesehenen Spaltvariationen von 18 bis 24 mm im Rahmen der durchgeführten Verfahrensprüfung ausgleichen. Die Ableitung eines äquivalenten Lichtbogensensors durch Kopplung beider Messprinzipien wurde am Laufzeitende des Vorhabens aufgezeigt, konnte jedoch durch zeitliche Beschränkung nicht für die Verfahrensprüfung berücksichtigt werden. In Absprache mit dem projektbegleitenden Ausschuss wurde die Entwicklung der Prozessregelung für das Vorhaben auf Schweißungen in Wannenlage und Grundwerkstoffe der Güte S355J2 beschränkt. Die Qualifizierung des Verfahrens unter Einsatz der beschriebenen Regelalgorithmen nach DIN EN ISO 15614-1 konnte für alle betrachteten Spaltbreiten zwischen 18 und 24 mm anhand einer 50 mm dicken Demonstratorprobe nachgewiesen werden. KW - Schutzgasschweißen KW - MSG-Engspaltschweißen KW - Prozesssteuerung KW - Lichtbogensensorik KW - Prozessregelung KW - GMAW KW - Narrow gap GMAW KW - GMAW control KW - Arc-sensing PY - 2017 UR - https://nbn-resolving.org/urn:nbn:de:kobv:b43-390934 SP - 1 EP - 38 AN - OPUS4-39093 LA - deu AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Neubert, S. A1 - Pittner, Andreas A1 - Rethmeier, Michael T1 - Numerical Sensitivity Analysis of TRIP-Parameter K on Weld Residual Stresses and Weld Distortion N2 - A combined experimental numerical approach is applied for a sensitivity analysis of the transformation induced plasticity (TRIP)-parameter K on welding residual stresses and welding distortion for the welding of the low-alloyed high-strength S960QOL with the high-alloyed hig-strength filler material CN13-4-IG. A thermo-mechanical FE model of a real GMA welding process was experimentally validated against termperature field, X-Ray stress measurments and optical distortion measurement. Within the sensititvity analysis K was varied and the influence on the calculated welding residual stresses and welding distortion is evaluated by performing corresponding FEA. The correct order of K magnitude is necessary in order to reproduce the residual stresses qualitatively and quantitatively. For the sufficient reproducing of the welding distortion the transformation induced plasticity can be neglected. T2 - 11th International Seminar - Numerical Analysis of Weldability CY - Graz, Austria DA - 27.09.2015 KW - TRIP PY - 2016 SN - 978-3-85125-490-7 SN - 2410-0544 SP - 361 EP - 383 PB - Verlag der Technischen Universität Graz CY - Graz AN - OPUS4-38904 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Neubert, S. A1 - Pittner, Andreas A1 - Rethmeier, Michael T1 - Experimentelle Bestimmung der umwandlungsplastischen Konstante K und deren Einfluss auf Schweißeigenspannungen N2 - 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. T2 - 35. Assistentenseminar Füge- und Schweißtechnik CY - Institut für Werkstoff- und Fügetechnik der Otto-von­ Guericke-Universität Magdeburg DA - 01.12.2014 KW - Umwandlungsplastischen Konstante K KW - Einfluss auf Schweißeigenspannungen PY - 2016 SN - 978-3-945023-55-6 VL - 2016/314 SP - 15 EP - 21 PB - DVS Media Düsseldorf CY - Düsseldorf AN - OPUS4-38057 LA - deu AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - JOUR A1 - Ward, H. A1 - Burger, M. A1 - Chang, Y.-J. A1 - Fürstmann, P. A1 - Neugebauer, S. A1 - Radebach, A. A1 - Sproesser, G. A1 - Pittner, Andreas A1 - Rethmeier, Michael A1 - Uhlmann, E. A1 - Steckel, J. Ch. T1 - Assessing carbon dioxide emission reduction potentials of improved manufacturing processes using multiregional input output frameworks N2 - Evaluating innovative process technologies has become highly important within the last decades. As standard tools different Life Cycle Assessment methods have been established, which are continuously improved. While those are designed for evaluating single processes they run into difficulties when it comes to assessing environmental impacts of process innovations at macroeconomic level. In this paper we develop a multi-step evaluation framework building on multi regional inputeoutput data that allows estimating macroeconomic impacts of new process technologies, considering the network characteristics of the global economy. Our procedure is as follows: i) we measure differences in material usage of process alternatives, ii) we identify where the standard processes are located within economic networks and virtually replace those by innovative process technologies, iii) we account for changes within economic systems and evaluate impacts on emissions. Within this paper we exemplarily apply the methodology to two recently developed innovative technologies: longitudinal large diameter steel pipe welding and turning of high-temperature resistant materials. While we find the macroeconomic impacts of very specific process innovations to be small, its conclusions can significantly differ from traditional process based approaches. Furthermore, information gained from the methodology provides relevant additional insights for decision makers extending the picture gained from traditional process life cycle assessment. KW - Economic wide technology replacement KW - Sustainability assessment KW - Multi-regional inputeoutput data KW - Life-cycle assessment KW - Greenhouse gas mitigation KW - Process innovations PY - 2017 DO - https://doi.org/10.1016/j.jclepro.2016.02.062 SN - 0959-6526 SN - 1879-1786 VL - 163 SP - 154 EP - 165 PB - Elsevier Ltd. AN - OPUS4-41356 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER -