Ingenieurwissenschaften und zugeordnete Tätigkeiten
Filtern
Dokumenttyp
- Vortrag (14)
- Beitrag zu einem Tagungsband (1)
- Dissertation (1)
Sprache
- Englisch (16) (entfernen)
Schlagworte
- Additive Fertigung (16) (entfernen)
Organisationseinheit der BAM
- 9 Komponentensicherheit (9)
- 8 Zerstörungsfreie Prüfung (5)
- 8.0 Abteilungsleitung und andere (5)
- 5 Werkstofftechnik (4)
- 9.2 Versuchsanlagen und Prüftechnik (4)
- 9.4 Integrität von Schweißverbindungen (4)
- 9.6 Additive Fertigung metallischer Komponenten (3)
- 5.0 Abteilungsleitung und andere (2)
- 5.2 Metallische Hochtemperaturwerkstoffe (2)
- 8.4 Akustische und elektromagnetische Verfahren (2)
Eingeladener Vortrag
- nein (14)
This contribution presents the results of an experimental study on the LCF behavior of an austenitic 316L stainless steel produced by laser powder bed fusion featuring a low defect population, which allows for an improved understanding of the role of other typical aspects of a PBF‑LB microstructure. The LCF tests were performed between room temperature and 600 °C. A hot‑rolled 316L variant was tested as a reference. The mechanical response is characterized by strain-life curves, a Coffin‑Manson‑Basquin fitting, and cyclic deformation curves. The damage and deformation mechanisms are studied with X-ray computed tomography, optical and electron microscopy. The PBF‑LB/M/316L exhibits lower fatigue lives at lower strain amplitudes. The crack propagation is mainly transgranular. The solidification cellular structure seems to be the most relevant underlying microstructural feature determining the cyclic deformation behavior.
Additive manufacturing (AM) offers significantly greater freedom of design compared to conventional manufacturing processes since the final parts are built layer by layer. This enables metal AM, also known as metal 3D printing, to be utilized for improving efficiency and functionality, for the production of parts with very complex geometries, and rapid prototyping. However, despite many technological advancements made in recent years, several challenges hinder the mass adoption of metal AM. One of these challenges is mechanical anisotropy which describes the dependency of material properties on the material orientation. Therefore, in this work, stainless steel 316L parts produced by laser-based powder bed fusion are used to isolate and understand the root cause of anisotropy in AM parts. Furthermore, an efficient and accurate multiscale numerical framework is presented for predicting the deformation behavior of actual AM parts on the macroscale undergoing large plastic deformations. Finally, a novel constitutive model for the plastic spin is formulated to capture the influence of the microstructure evolution on the material behavior on the macroscale.
Additive manufacturing (AM) processes enable the efficient production of advanced constructions. New developments in topology optimization are leading to weight-optimized designs of increasing complexity. Direct energy deposition processes (DED) such as wire and arc-based additive manufacturing are an important method of additive manufacturing. The wire filler metals enable a wide range of materials, while the arc process provides a high deposition rate compared to laser and powder-based processes. Combined with the use of high-strength steels, the thickness of walls or components can be significantly reduced in the context of lightweight construction, which results in significant savings in energy, costs, time and resources. Suitable high-strength steel filler metals are commercially available for DED-arc AM processes. However, guidelines and quantitative knowledge about welding stresses and cold cracking issues during component production and service are lacking. This limits the industrial application considerably. In a joint project of BAM and Chemnitz University of Technology, the main influences and complex interactions of material, production process, design and processing steps on the residual stress level are investigated. The aim is to develop processing recommendations and a cold cracking test for economical processing and stress-related design of high-strength steels with DED-arc. This study focuses on residual stress analysis by neutron diffraction (ND) and X-ray diffraction (XRD) on defined test specimens. The ND analysis were performed at the Paul Scherrer Institute- Villigen, Switzerland (PSI) and the XRD analysis at BAM. The study shows a quantitative and qualitative comparison of the residual stress magnitudes and distribution between the component bulk (ND) and surface (XRD) analyses. The ND analysis reveals that in DED-arc AM walls the residual stresses dominate in the direction of welding and are negligibly small in each case transverse to the direction of welding. The topology of the analyzed residual stresses shows almost identical residual stress maps compared to XRD. In addition, the residual stresses are significantly influenced by the solid phase transformation of the material due to low cooling times and less post heat treatment cycles of following AM layers in the area of the top layer.
Defects are still common in metal components built with Additive Manufacturing (AM). Process monitoring methods for laser powder bed fusion (PBF-LB/M) are used in industry, but relationships between monitoring data and defect formation are not fully understood yet. Additionally, defects and deformations may develop with a time delay to the laser energy input. Thus, currently, the component quality is only determinable after the finished process.
Here, active laser thermography, a non-destructive testing method, is adapted to PBF-LB/M, using the defocused process laser as heat source. The testing can be performed layer by layer throughout the manufacturing process. The results of the defect detection using infrared cameras are presented for a custom research PBF-LB/M machine. Our work enables a shift from post-process testing of components towards in-situ testing during the AM process. The actual component quality is evaluated in the process chamber and defects can be detected between layers.
High-strength fine-grained structural steels have great potential for modern weight optimized steel construc-tions. Efficient manufacturing and further weight savings are achievable due to Wire Arc Additive Manu-facturing (WAAM). First commercial high-strength welding consumables for WAAM are already available. However, the application is still severely limited due to a lack of knowledge and guidelines for the industry regarding welding residual stresses and component safety in manufacturing and operation. Residual stresses may be critical regarding the special microstructure of high-strength steels in context with the risk of cold cracking and component performance in service. Therefore, process- and material-related influences, as well as the design effects on residual stress formation and cold cracking, are being investi-gated in a research project (IGF 21162 BG) focusing a high-strength WAAM welding consumable with yield strength of over 800 MPa. Objectives are the establish-ment of special WAAM cold cracking tests and pro-cessing recommendations allowing economical, suita-ble, and crack-safe WAAM of high-strength steels. First studies on process-related influences showed transfor-mation residual stresses arising during cooling, which significantly influence stress evolution of the compo-nent during layer-wise build-up. This has not yet been investigated for WAAM of high-strength steels. Focus of this study is on the systematic investigation of interactions of the WAAM welding process and design with cooling time, hardness, and residual stresses.
Defined open hollow cuboids were welded and investi-gated under systematic variation (design of experi-ments, DoE) of the scale/dimensions (cf. Fig. 1a) and heat control (interlayer temperature Ti: 100–300 °C), heat input E: 200–650 kJ/m. The welding parameters were kept constant as possible to avoid any influence by the arc and the material transfer mode. The heat input adjusted primarily via the welding speed. The resulting different weald bead widths were considered by different build-up strategies (weld beads per layer) to ensure defined wall thicknesses. The hardness was determined on cross-sections taken from the manufac-tured hollow cuboids (Fig. 1c) and the analysis of the residual stress state was carried out by means of X-ray diffraction (XRD) at defined positions on the lateral wall (Fig. 1b).
The hardness is higher at the top compared to the lower weld beads, as shown in Fig. 1c exemplarily for central test parameters of the DoE = 425 kJ/mm, Ti = 200 °C). This may be attributed to the specific heat control of the top weld beads, i.e., quenching effects, which are not tempered by weld beads above as is the case for lower weld beads implying a higher hardness. It was observed that the hardness level decreases with increasing energy per unit length, while the in-terpass temperature has a rather low influence on the hardness
Residual stress analysis was performed on the lat-eral wall in the welding direction, cf. Fig. 1b, to deter-mine the influence of heat control and design. In the top area of the wall, maximum longitudinal residual stress-es of up to over 500 MPa exhibit, which corresponds to approx. 65% of the nominal yield strength of the mate-rial. The statistic evaluation of stress levels in welding direction of all test specimens show that adaption of heat input may reduce welding stresses up to 50%. In-terpass temperature has less pronounced effect on cool-ing times, microstructure, and on the residual level within parameter matrix. Overall, the results show a significant influence of heat input and component di-mensions on the residual stresses and minor effect of the interpass temperature. Hence, the properties of the specimens may be effectively adjusted via heat input. The working temperatures should be considered for global shrinkage behavior or restraints. Such investiga-tions of residual stress are necessary to further deter-mine local and global welding stresses regarding the consequences on the component safety during manu-facturing and service.
Commercial high-strength filler metals for wire arc additive manufacturing (WAAM) are already available. However, widespread industrial use is currently limited due to a lack of quantitative knowledge and guidelines regarding welding stresses and component safety during manufacture and operation for WAAM structures. In a joint research project (FOSTA-P1380/IGF21162BG), the process- and material-related as well as design influences associated with residual stress formation and the risk of cold cracking are being investigated. For this purpose, reference specimens are welded fully automated with defined dimensions and systematic variation of heat control using a special, high-strength WAAM filler metal (yield strength >790 MPa). Heat control is varied by means of heat input (200–650 kJ/m) and interlayer temperature (100–300 °C). The ∆t8/5 cooling times correspond with the recommendations of steel producers (approx. 5–20 s). Welding parameters and AM geometry are correlated with the resulting microstructure, hardness and residual stress state. High heat input leads to a lower tensile stress in the component and may cause unfavorable microstructure and mechanical properties. However, a sufficiently low interlayer temperature is likely to be suitable for obtaining adequate properties at a reduced tensile stress level when welding with high heat input. The component design affects heat dissipation conditions and the intensity of restraint during welding and has a significant influence on the residual stress. These complex interactions are analyzed within this investigation. The aim is to provide easily applicable processing recommendations and standard specifications for an economical, appropriate and crack-safe WAAM of high-strength steels.
High-strength steels have great potential for weight optimization due to reduced wall thicknesses in many modern steel constructions. Further advances in efficiency can be achieved through the application of additive manufacturing processes, such as Wire Arc Additive Manufacturing (WAAM). These technologies enable the sustainable and resource-efficient manufacturing of high-strength steels into near-net-shape, efficient structures. During the production of steel structures, unacceptable defects may occur in the weld area or in the WAAM component, e.g., due to unstable process conditions. The economical solution for most of the cases is local gouging or machining of the affected areas and repair welding. With respect to the limited ductility of high-strength steels, it is necessary to clarify the effects of machining steps on the multiaxial stress state and the high design-induced shrinkage restraint. In this context, the component-related investigations in two research projects are concerned with the residual stress evolution during welding and slot milling of welds and WAAM structures made of high-strength steels with yield strengths ≥790 MPa. In-situ digital image correlation (DIC) and ex-situ X-ray diffraction (XRD) were used to analyse the stresses and strains induced on specimens during and after milling. The systematic analyses revealed a significant interaction of the stiffness and relaxation of the specimens with the initial residual stresses induced by welding.
The formation of defects such as keyhole pores is a major challenge for the production of metal parts by Laser Powder Bed Fusion (LPBF). The LPBF process is characterized by a large number of influencing factors which can be hard to quantify. Machine Learning (ML) is a prominent tool to predict the outcome of complex processes on the basis of different sensor data. In this study, a ML model for defect prediction is created using thermographic image features as input data. As a reference, the porosity information calculated from an x-ray Micro Computed Tomography (µCT) scan of the produced specimen is used. Physical knowledge about the keyhole pore formation is incorporated into the model to increase the prediction accuracy. From the prediction result, the quality of the input data is evaluated and future demands on in-situ monitoring of LPBF processes are formulated.
Elektrochemische Messungen zur hygienischen Bewertung additiv gefertigter Bauteile werden diskutiert. Die Bewertung und Details des Werkstoffs werden beschrieben, Anwendungsbeispiele gezeigt.
Additive manufacturing (AM) processes allow a high level of freedom in designing and producing components for complex structures. They offer the possibility of a significant reduction of the process chain. However, the large number of process parameters influence the structure and the behavior of AM parts. A thorough understanding of the interdependent mechanisms is necessary for the reliable design and production of safe AM parts.
In this presentation we discuss the online monitoring of metallic AM parts produced by the Laser Powder Bed Fusion (LPBF) process by using optical, thermographic and electromagnetic methods. In a first approach we present the detection of defects generated during the process and discuss how to improve these methods for the optimization of design and production of metallic AM parts.
In this presentation we discuss the online monitoring of metallic AM parts produced by the Laser Powder Bed Fusion (LPBF) process by using optical, thermographic and electromagnetic methods. In a first approach we present the detection of defects generated during the process and discuss how to improve these methods for the optimization of design and production of metallic AM parts.
In this paper shortwave infrared (SWIR) thermographic measurements of the manufacturing of thin single-line walls via laser metal deposition (LMD) are presented. As the thermographic camera is mounted fixed to the welding arm, an acceleration sensor was used to assist in reconstructing the spatial position from the predefined welding path. Hereby we could obtain data sets containing the size of the molten pool and the oxide covered areas as functions of the position in the workpiece. Furthermore, the influence of the acquisition wavelength onto the thermograms was investigated in a spectral range from 1250 nm to 1550 nm. All wavelengths turned out to be usable for the in-situ process monitoring of the LMD process. The longer wavelengths are shown to be beneficial for the lower temperature range, while shorter wavelengths show more details within the molten pool.
By allowing economic on demand manufacturing of highly customized and complex workpieces, metal based additive manufacturing (AM) has the prospect to revolutionize many industrial areas. Since AM is prone to the formation of defects during the building process, a fundamental requirement for AM to become applicable in most fields is the ability to guarantee the adherence to strict quality and safety standards. A possible solution for this problem lies in the deployment of various in-situ monitoring techniques. For most of these techniques, the application to AM is still very poorly understood. Therefore, the BAM in its mission to provide safety in technology has initiated the project “Process Monitoring of AM” (ProMoAM). In this project, a wide range of in-situ process monitoring techniques, including active and passive thermography, optical tomography, optical emission and absorption spectroscopy, eddy current testing, laminography, X-ray backscattering and photoacoustic methods, are applied to laser metal deposition (LMD), laser powder bed fusion and wire arc AM. Since it is still unclear which measured quantities are relevant for the detection of defects, these measurements are performed very thoroughly. In successive steps, the data acquired by all these methods is fused and compared to the results of reference methods such as computer tomography and ultrasonic immersion testing. The goal is to find reliable methods to detect the formation of defects during the building process. The detailed acquired data sets may also be used for comparison with simulations.
Here, we show first results of high speed (> 300 Hz) thermographic measurements of the LMD process in the SWIR range using 316L as building material. For these experiments, the camera was mounted fixed to the welding arm of the LMD machine to keep the molten pool in focus, regardless of the shape of the specimen. As the thermograms do not contain any information about the current spatial position during the building process, we use an acceleration sensor to track the movement and synchronize the measured data with the predefined welding path. This allows us to reconstruct the geometry of the workpieces and assign the thermographic data to spatial positions. Furthermore, we investigate the influence of the acquisition wavelength on the thermographic data by comparing measurements acquired with different narrow bandpass filters (50 nm FWHM) in a spectral range from 1150 nm to 1550 nm.
This research was funded by BAM within the Focus Area Materials.
Quantitative image analysis, statistical approaches, direct discretization of tomographic reconstructions represent concrete possibilities to extend the power of the tomographic 3D representation to insights into the material and component performance. I will show a few examples of possible use of X-ray tomographic data for quantitative assessment of damage evolution and microstructural properties, as well as for non-destructive testing, with particular focus on additively manufactured materials. I will also show how X-ray refraction computed tomography (CT) and Neutron diffraction can be highly complementary to classic absorption CT, being sensitive to internal interfaces and residual stress analysis, respectively.
The combination of tomographic, microstructural data with other experimental techniques and with modeling is paramount, if we want to extract the maximum amount of information on material and component properties. In particular, quantitative image analysis, statistical approaches, direct discretization of tomographic reconstructions represent concrete possibilities to extend the power of the tomographic 3D representation to insights into the material and component performance. This logic thread equally holds for industrial and academic research, and valorizes expensive experiments such as those carried out at synchrotron sources, which cannot be daily repeated.
I will show a few examples of possible use of X-ray tomographic data for quantitative assessment of damage evolution and microstructural properties, as well as for non-destructive testing. Examples of micro-structured inhomogeneous materials will be given, such as Composites, Ceramics, Concrete, and Additively manufactured parts. I will also show how X-ray refraction computed tomography (CT) can be highly complementary to classic absorption CT, being sensitive to internal interfaces.
Additionally, I will present a new technique in our portfolio, Neutron Diffraction, which is extremely well suited to the study of internal stresses, both residual and under external load.
The combination of tomographic, microstructural data with other experimental techniques and with modeling is paramount, if we want to extract the maximum amount of information on material and component properties. In particular, quantitative image analysis, statistical approaches, direct discretization of tomographic reconstructions represent concrete possibilities to extend the power of the tomographic 3D representation to insights into the material and component performance. This logic thread holds equally for industrial and academic research, and valorizes expensive experiments such as those carried out at synchrotron sources, which cannot be daily repeated.
I will show a few examples of possible use of X-ray tomographic data for quantitative assessment of damage evolution and microstructural properties, as well as for non-destructive testing. Examples of micro-structured inhomogeneous materials will be given, such as Composites, Ceramics, Concrete, and Additively manufactured parts. I will also show how X-ray refraction computed tomography (CT) can be highly complementary to classic absorption CT, being sensitive to internal interfaces.