@article{33090,
  abstract     = {{<jats:title>Abstract</jats:title><jats:p>Heated tool butt welding is a method often used for joining thermoplastics, especially when the components are made out of different materials. The quality of the connection between the components crucially depends on a suitable choice of the parameters of the welding process, such as heating time, temperature, and the precise way how the parts are then welded. Moreover, when different materials are to be joined, the parameter values need to be tailored to the specifics of the respective material. To this end, in this paper, three approaches to tailor the parameter values to optimize the quality of the connection are compared: a heuristic by Potente, statistical experimental design, and Bayesian optimization. With the suitability for practice in mind, a series of experiments are carried out with these approaches, and their capabilities of proposing well-performing parameter values are investigated. As a result, Bayesian optimization is found to yield peak performance, but the costs for optimization are substantial. In contrast, the Potente heuristic does not require any experimentation and recommends parameter values with competitive quality.</jats:p>}},
  author       = {{Gevers, Karina and Tornede, Alexander and Wever, Marcel Dominik and Schöppner, Volker and Hüllermeier, Eyke}},
  issn         = {{0043-2288}},
  journal      = {{Welding in the World}},
  keywords     = {{Metals and Alloys, Mechanical Engineering, Mechanics of Materials}},
  publisher    = {{Springer Science and Business Media LLC}},
  title        = {{{A comparison of heuristic, statistical, and machine learning methods for heated tool butt welding of two different materials}}},
  doi          = {{10.1007/s40194-022-01339-9}},
  year         = {{2022}},
}

@article{33689,
  author       = {{Raghuwanshi, Mohit and Chugh, Manjusha and Sozzi, Giovanna and Kanevce, Ana and Kühne, Thomas and Mirhosseini, Hossein and Wuerz, Roland and Cojocaru‐Mirédin, Oana}},
  issn         = {{0935-9648}},
  journal      = {{Advanced Materials}},
  keywords     = {{Mechanical Engineering, Mechanics of Materials, General Materials Science}},
  number       = {{37}},
  publisher    = {{Wiley}},
  title        = {{{Fingerprints Indicating Superior Properties of Internal Interfaces in Cu(In,Ga)Se            <sub>2</sub>            Thin‐Film Solar Cells}}},
  doi          = {{10.1002/adma.202203954}},
  volume       = {{34}},
  year         = {{2022}},
}

@article{34253,
  abstract     = {{Lightweight construction has increasingly become the focus of scientific research in recent years, not least due to
the constantly increasing fuel price, which is a key factor in the economic viability of many companies. In this
respect, the use of hybrid structures, made of dissimilar materials offers many advantages. However, such hybrid
structures often have undesirable side effects. For example, brittle intermetallic phases are formed when
aluminum and steel are welded. Clinching as a mechanical joining process does not produce such intermetallic
phases since the connection is realized through form and force closure. In this process, a punch passes through
two or more sheets and forms them into a permanent joint in a die. In the present work, the corrosion phenomena
of an aluminum-steel clinched joint have been investigated by both experiments and numerical simulations in
order to explain the superior fatigue behavior of pre-corroded joints. Therefore, the clinched joints have been
corroded by a three-week salt-spray test. In addition, the electric potential and the von Mises stress are calculated
under the assumption of a static loading. The results of both experiments and numerical simulations can explain
the improvement in the fatigue behavior of the corroded specimens. This phenomenon can be attributed to the
accumulation of corrosion products in small gaps between the joined metal sheets.}},
  author       = {{Harzheim, Sven and Ewenz, Lars and Zimmermann, Martina and Wallmersperger, Thomas}},
  issn         = {{2666-3309}},
  journal      = {{Journal of Advanced Joining Processes}},
  keywords     = {{Mechanical Engineering, Mechanics of Materials, Engineering (miscellaneous), Chemical Engineering (miscellaneous)}},
  publisher    = {{Elsevier BV}},
  title        = {{{Corrosion Phenomena and Fatigue Behavior of Clinched Joints: Numerical and Experimental Investigations}}},
  doi          = {{10.1016/j.jajp.2022.100130}},
  volume       = {{6}},
  year         = {{2022}},
}

@article{34249,
  abstract     = {{The trend towards lightweight design, driven by increasingly stringent emission targets, poses challenges to conventional joining processes due to the different mechanical properties of the joining partners used to manufacture multi-material systems. For this reason, new versatile joining processes are in demand for joining dissimilar materials. In this regard, pin joining with cold extruded pin structures is a relatively new, two-stage joining process for joining materials such as high-strength steel and aluminium as well as steel and fibre-reinforced plastic to multi-material systems, without the need for auxiliary elements. Due to the novelty of the process, there are currently only a few studies on the robustness of this joining process available. Thus, limited statements on the stability of the joining process considering uncertain process conditions, such as varying material properties or friction values, can be provided. Motivated by this, the presented work investigates the influence of different uncertain process parameters on the pin extrusion as well as on the joining process itself, carrying out a systematic robustness analysis. Therefore, the methodical approach covers the complete process chain of pin joining, including the load-bearing capacity of the joint by means of numerical simulation and data-driven methods. Thereby, a deeper understanding of the pin joining process is generated and the versatility of the novel joining process is increased. Additionally, the provision of manufacturing recommendations for the forming of pin joints leads to a significant decrease in the failure probability caused by ploughing or buckling effects.}},
  author       = {{Römisch, David and Zirngibl, Christoph and Schleich, Benjamin and Wartzack, Sandro and Merklein, Marion}},
  issn         = {{2504-4494}},
  journal      = {{Journal of Manufacturing and Materials Processing}},
  keywords     = {{Industrial and Manufacturing Engineering, Mechanical Engineering, Mechanics of Materials}},
  number       = {{5}},
  publisher    = {{MDPI AG}},
  title        = {{{Robustness Analysis of Pin Joining}}},
  doi          = {{10.3390/jmmp6050122}},
  volume       = {{6}},
  year         = {{2022}},
}

@article{34255,
  abstract     = {{Deformation of continuous fibre reinforced plastics during thermally-assisted forming or joining processes leads to a change of the initial material structure. The load behaviour of composite parts strongly depends on the resultant material structure. The prediction of this material structure is a challenging task and requires a deep knowledge of the material behaviour above melting temperature and the occurring complex forming phenomena. Through this knowledge, the optimisation of manufacturing parameters for a more efficient and reproducible process can be enabled and are in the focus of many investigations. In the present paper, a simplified pultrusion test rig is developed and presented to investigate the deformation behaviour of a thermoplastic semi-finished fiber product in a forming element. Therefore, different process parameters, like forming element temperature, pulling velocity as well as the forming element geometry, are varied. The deformation behaviour in the forming zone of the thermoplastic preimpregnated continuous glass fibre-reinforced material is investigated by computed tomography and the resultant pulling forces are measured. The results clearly show the correlation between the forming element temperature and the resulting forces due to a change in the viscosity of the thermoplastic matrix and the resulting fiber matrix interaction. In addition, the evaluation of the measurement data shows which forming forces are required to change the shape of the thermoplastic unidirectional material with a rectangular cross-section to a round one.}},
  author       = {{Borowski, Andreas and Gröger, Benjamin and Füßel, René and Gude, Maik}},
  issn         = {{2504-4494}},
  journal      = {{Journal of Manufacturing and Materials Processing}},
  keywords     = {{Industrial and Manufacturing Engineering, Mechanical Engineering, Mechanics of Materials}},
  number       = {{6}},
  publisher    = {{MDPI AG}},
  title        = {{{Characterisation of Fibre Bundle Deformation Behaviour—Test Rig, Results and Conclusions}}},
  doi          = {{10.3390/jmmp6060146}},
  volume       = {{6}},
  year         = {{2022}},
}

@article{34248,
  abstract     = {{Pin extrusion is a common process to realise pin structures in different geometrical dimensions for a subsequent joining operation. Nevertheless, the process of pin extrusion offers process limits regarding sheet thinning as a consequence of the punch penetration depth into the sheet. Thereby, cracks at the residual sheet thickness can occur during strength tests, resulting in a failure of the complete joint due to severe thinning. Therefore, measures have to be taken into account to reduce the thinning. One possibility is the application of orbital formed tailored blanks with a local material pre-distribution, which allows a higher sheet thickness in the desired area. Within this contribution, the novel approach of a process combination of orbital forming and pin extrusion is investigated. To reveal the potential of a local material pre-distribution, conventional specimens are compared with previously orbital formed components. Relevant parameters such as the residual sheet thickness, the pin height as well as the average hardness values are compared. The results show a significant positive influence of a local material pre-distribution on the residual sheet thickness as well as the resulting pin height. Furthermore, the strain hardening during orbital forming can be seen as an additional advantage. To conclude the results, the process limits of conventional pin extrusion can be expanded significantly by the application of specimens with a local material pre-distribution.}},
  author       = {{Römisch, David and Hetzel, Andreas and Wituschek, Simon and Lechner, Michael and Merklein, Marion}},
  issn         = {{2504-4494}},
  journal      = {{Journal of Manufacturing and Materials Processing}},
  keywords     = {{Industrial and Manufacturing Engineering, Mechanical Engineering, Mechanics of Materials}},
  number       = {{6}},
  publisher    = {{MDPI AG}},
  title        = {{{Pin Extrusion for Mechanical Joining from Orbital Formed Tailored Blanks with Local Material Pre-Distribution}}},
  doi          = {{10.3390/jmmp6060127}},
  volume       = {{6}},
  year         = {{2022}},
}

@inproceedings{34280,
  abstract     = {{Clinching is a cost efficient method for joining components in series production. To assure the clinch point’s quality, the force displacement curve during clinching or the bottom thickness are monitored. The most significant geometrical characteristics of the clinch point, neck thickness and undercut, are usually tested destructively by microsectioning. However, micrograph preparation goes ahead with a resetting of elastic deformations and crack-closing after unloading. To generate a comprehensive knowledge of the clinch point’s inner geometry under load, in-situ computed tomography (CT) and acoustic testing (TDA) can be combined. While the TDA is highly sensitive to the inner state of the clinch point, it could detect critical events like crack development during loading. If such events are indicated, the loading process is stopped and a stepped in-situ CT of the following crack and deformation development is performed. In this paper, the concept is applied to the process of clinching itself, providing a detailed three-dimensional insight in the development of the joining zone. A test set-up is used which allows a stepwise clinching of two aluminium sheets EN AW 6014. Furthermore, this set-up is positioned within a CT system. In order to minimize X-ray absorption, a beryllium cylinder is used within the set-up frame and clinching tools are made from Si3N4. The actuator and sensor necessary for the TDA are integrated in the set-up. In regular process steps, the clinching process is interrupted in order to perform a TDA and a CT scan. In order to enhance the visibility of the interface, a thin tin layer is positioned between the sheets prior clinching. It is shown, that the test-set up allows a monitoring of the dynamic behaviour of the specimen during clinching while the CT scans visualize the inner geometry and material flow non-destructively.}},
  author       = {{Köhler, Daniel and Stephan, Richard and Kupfer, Robert and Troschitz, Juliane and Brosius, Alexander and Gude, Maik}},
  booktitle    = {{Key Engineering Materials}},
  issn         = {{1662-9795}},
  keywords     = {{Mechanical Engineering, Mechanics of Materials, General Materials Science}},
  pages        = {{1489--1497}},
  publisher    = {{Trans Tech Publications, Ltd.}},
  title        = {{{Investigations on Combined in situ CT and Acoustic Analysis during Clinching}}},
  doi          = {{10.4028/p-32330d}},
  volume       = {{926}},
  year         = {{2022}},
}

@article{34261,
  abstract     = {{Mechanical clinching is used to create lightweight hybrid structures. In order to estimate the service life of clinched components, its fatigue properties need to be known under different mechanical loading conditions. In addition to fatigue, corrosion is another factor that affects the fatigue life of clinched joints. In the literature, many corrosion and high-cycle fatigue damage models exist. However, little is known about how both phenomena interact in clinched joints. In this article, the influence of galvanic corrosion on clinched EN AW-6014/HCT590X + Z sheets on the fatigue life is investigated by means of numerical simulations and experimental results. An accurate prediction of the Wöhler lines of non-corroded and pre-corroded clinched specimens is shown.}},
  author       = {{Harzheim, Sven and Hofmann, Martin and Wallmersperger, Thomas}},
  issn         = {{1537-6494}},
  journal      = {{Mechanics of Advanced Materials and Structures}},
  keywords     = {{Mechanical Engineering, Mechanics of Materials, General Materials Science, General Mathematics, Civil and Structural Engineering}},
  pages        = {{1--6}},
  publisher    = {{Informa UK Limited}},
  title        = {{{Numerical fatigue life prediction of corroded and non-corroded clinched joints}}},
  doi          = {{10.1080/15376494.2022.2140233}},
  year         = {{2022}},
}

@article{33694,
  abstract     = {{<jats:title>Abstract</jats:title>
               <jats:p>The round robin test investigated the reliability users can expect for AlSi10Mg additive manufactured specimens by laser powder bed fusion through examining powder quality, process parameter, microstructure defects, strength and fatigue. Besides for one outlier, expected static material properties could be found. Optical microstructure inspection was beneficial to determine true porosity and porosity types to explain the occurring scatter in properties. Fractographic analyses reveal that the fatigue crack propagation starts at the rough as-built surface for all specimens. Statistical analysis of the scatter in fatigue using statistical derived safety factors concludes that at a stress of 36.87 MPa the fatigue limit of 10<jats:sup>7</jats:sup> cycles could be reached for all specimen with a survival probability of 99.999 %.</jats:p>}},
  author       = {{Schneider, M. and Bettge, D. and Binder, M. and Dollmeier, K. and Dreyer, Malte and Hilgenberg, K. and Klöden, B. and Schlingmann, T. and Schmidt, J.}},
  issn         = {{2195-8599}},
  journal      = {{Practical Metallography}},
  keywords     = {{Metals and Alloys, Mechanics of Materials, Condensed Matter Physics, Electronic, Optical and Magnetic Materials}},
  number       = {{10}},
  pages        = {{580--614}},
  publisher    = {{Walter de Gruyter GmbH}},
  title        = {{{Reproducibility and Scattering in Additive Manufacturing: Results from a Round Robin on PBF-LB/M AlSi10Mg Alloy}}},
  doi          = {{10.1515/pm-2022-1018}},
  volume       = {{59}},
  year         = {{2022}},
}

@article{34817,
  author       = {{Hanusch, Maximilian}},
  issn         = {{1019-8385}},
  journal      = {{Communications in Analysis and Geometry}},
  keywords     = {{regularity of Lie groups}},
  number       = {{1}},
  pages        = {{53--152}},
  publisher    = {{International Press of Boston}},
  title        = {{{Regularity of Lie groups}}},
  doi          = {{10.4310/cag.2022.v30.n1.a2}},
  volume       = {{30}},
  year         = {{2022}},
}

@article{35620,
  abstract     = {{Deep learning models fuel many modern decision support systems, because they typically provide high predictive performance. Among other domains, deep learning is used in real-estate appraisal, where it allows to extend the analysis from hard facts only (e.g., size, age) to also consider more implicit information about the location or appearance of houses in the form of image data. However, one downside of deep learning models is their intransparent mechanic of decision making, which leads to a trade-off between accuracy and interpretability. This limits their applicability for tasks where a justification of the decision is necessary. Therefore, in this paper, we first combine different perspectives on interpretability into a multi-dimensional framework for a socio-technical perspective on explainable artificial intelligence. Second, we measure the performance gains of using multi-view deep learning which leverages additional image data (satellite images) for real estate appraisal. Third, we propose and test a novel post-hoc explainability method called Grad-Ram. This modified version of Grad-Cam mitigates the intransparency of convolutional neural networks (CNNs) for predicting continuous outcome variables. With this, we try to reduce the accuracy-interpretability trade-off of multi-view deep learning models. Our proposed network architecture outperforms traditional hedonic regression models by 34% in terms of MAE. Furthermore, we find that the used satellite images are the second most important predictor after square feet in our model and that the network learns interpretable patterns about the neighborhood structure and density.}},
  author       = {{Kucklick, Jan-Peter and Müller, Oliver}},
  issn         = {{2158-656X}},
  journal      = {{ACM Transactions on Management Information Systems}},
  keywords     = {{Interpretability, Convolutional Neural Network, Accuracy-Interpretability Trade-Of, Real Estate Appraisal, Hedonic Pricing, Grad-Ram}},
  publisher    = {{Association for Computing Machinery (ACM)}},
  title        = {{{Tackling the Accuracy–Interpretability Trade-off: Interpretable Deep Learning Models for Satellite Image-based Real Estate Appraisal}}},
  doi          = {{10.1145/3567430}},
  year         = {{2022}},
}

@article{35740,
  abstract     = {{<jats:title>Abstract</jats:title><jats:p>While the Information Systems (IS) discipline has researched digital platforms extensively, the body of knowledge appertaining to platforms still appears fragmented and lacking conceptual consistency. Based on automated text mining and unsupervised machine learning, we collect, analyze, and interpret the IS discipline’s comprehensive research on platforms—comprising 11,049 papers spanning 44 years of research activity. From a cluster analysis concerning platform concepts’ semantically most similar words, we identify six research streams on platforms, each with their own platform terms. Based on interpreting the identified concepts vis-à-vis the extant research and considering a temporal perspective on the concepts’ application, we present a lexicon of platform concepts, to guide further research on platforms in the IS discipline. Researchers and managers can build on our results to position their work appropriately, applying a specific theoretical perspective on platforms in isolation or combining multiple perspectives to study platform phenomena at a more abstract level.</jats:p>}},
  author       = {{Bartelheimer, Christian and zur Heiden, Philipp and Lüttenberg, Hedda and Beverungen, Daniel}},
  issn         = {{1019-6781}},
  journal      = {{Electronic Markets}},
  keywords     = {{Management of Technology and Innovation, Marketing, Computer Science Applications, Economics and Econometrics, Business and International Management}},
  number       = {{1}},
  pages        = {{375--396}},
  publisher    = {{Springer Science and Business Media LLC}},
  title        = {{{Systematizing the lexicon of platforms in information systems: a data-driven study}}},
  doi          = {{10.1007/s12525-022-00530-6}},
  volume       = {{32}},
  year         = {{2022}},
}

@article{34053,
  author       = {{Riedl, Thomas and Kunnathully, Vinay and Trapp, Alexander and Langer, Timo and Reuter, Dirk and Lindner, Jörg}},
  issn         = {{2196-7350}},
  journal      = {{Advanced Materials Interfaces}},
  keywords     = {{Mechanical Engineering, Mechanics of Materials}},
  number       = {{11}},
  publisher    = {{Wiley}},
  title        = {{{Size‐Dependent Strain Relaxation in InAs Quantum Dots on Top of GaAs(111)A Nanopillars}}},
  doi          = {{10.1002/admi.202102159}},
  volume       = {{9}},
  year         = {{2022}},
}

@book{34702,
  editor       = {{Hagengruber, Ruth Edith}},
  isbn         = {{9783030899202}},
  issn         = {{2523-8760}},
  keywords     = {{Émilie Du Châtelet, History of Science, Kant, Newton, Maupertuis, Voltaire}},
  publisher    = {{Springer International Publishing}},
  title        = {{{Époque Émilienne}}},
  doi          = {{10.1007/978-3-030-89921-9}},
  year         = {{2022}},
}

@article{32413,
  abstract     = {{Background. Clinching is a conventional cold forming process in which two or more sheets can be joined without auxiliary parts. A pre-forming of the parts to be joined, which is introduced by previous manufacturing steps, has an influence on the joining result. When considering the suitability for joining with regard to the formability of the materials, the influence of the preforming steps must be taken into account. The influences of strain hardening and sheet thickness on the joining properties must be investigated. In this context, a Finite Element Method (FEM) based metamodel analysis of the clinching process was carried out in [1] to investigate the robustness of the clinching process with respect to the different material pre-strains. In [2], the method was extended to the load bearing simulation.Procedure. The metamodel from preliminary work based on various FE models, which predicts the load-bearing capacity of a clinched joint influenced by pre-straining, is compared here with experimental data and the accuracy of the metamodel prediction is discussed. For this purpose an experimental procedure was further develop which allows the preforming of metal sheets from which joining specimens can be separated with a certain degree of unidirectional deformation. In the study, the procedure for preparing the joint specimens and the results of the loading tests are presented. Different possible relevant pre-strain combinations are investigated and compared with the simulation results, to validate the FE models and choose suitable metamodel.</jats:p>}},
  author       = {{Bielak, Christian Roman and Böhnke, Max and Bobbert, Mathias and Meschut, Gerson}},
  issn         = {{1662-9795}},
  journal      = {{Key Engineering Materials}},
  keywords     = {{Mechanical Engineering, Mechanics of Materials, General Materials Science}},
  pages        = {{1516--1526}},
  publisher    = {{Trans Tech Publications, Ltd.}},
  title        = {{{Experimental and Numerical Investigation on Manufacturing-Induced Pre-Strain on the Load-Bearing Capacity of Clinched Joints}}},
  doi          = {{10.4028/p-5d009y}},
  volume       = {{926}},
  year         = {{2022}},
}

@article{50463,
  abstract     = {{<jats:sec><jats:title content-type="abstract-subheading">Purpose</jats:title><jats:p>Enabled by increased (“big”) data stocks and advanced (“machine learning”) analyses, the concept of human resource analytics (HRA) is expected to systematically improve decisions in human resource management (HRM). Since so far empirical evidence on this is, however, lacking, the authors' study examines which combinations of data and analyses are employed and which combinations deliver on the promise of improved decision quality.</jats:p></jats:sec><jats:sec><jats:title content-type="abstract-subheading">Design/methodology/approach</jats:title><jats:p>Theoretically, the paper employs a neo-configurational approach for founding and conceptualizing HRA. Methodically, based on a sample of German organizations, two varieties (crisp set and multi-value) of qualitative comparative analysis (QCA) are employed to identify combinations of data and analyses sufficient and necessary for HRA success.</jats:p></jats:sec><jats:sec><jats:title content-type="abstract-subheading">Findings</jats:title><jats:p>The authors' study identifies existing configurations of data and analyses in HRM and uncovers which of these configurations cause improved decision quality. By evidencing that and which combinations of data and analyses conjuncturally cause decision quality, the authors' study provides a first confirmation of HRA success.</jats:p></jats:sec><jats:sec><jats:title content-type="abstract-subheading">Research limitations/implications</jats:title><jats:p>Major limitations refer to the cross-sectional and national sample and the usage of subjective measures. Major implications are the suitability of neo-configurational approaches for future research on HRA, while deeper conceptualizing and researching both the characteristics and outcomes of HRA constitutes a core future task.</jats:p></jats:sec><jats:sec><jats:title content-type="abstract-subheading">Originality/value</jats:title><jats:p>The authors' paper employs an innovative theoretical-methodical approach to explain and analyze conditions that conjuncturally cause decision quality therewith offering much needed empirical evidence on HRA success.</jats:p></jats:sec>}},
  author       = {{Strohmeier, Stefan and Collet, Julian and Kabst, Rüdiger}},
  issn         = {{1746-5265}},
  journal      = {{Baltic Journal of Management}},
  keywords     = {{Management of Technology and Innovation, Marketing, Organizational Behavior and Human Resource Management, Strategy and Management, Business and International Management}},
  number       = {{3}},
  pages        = {{285--303}},
  publisher    = {{Emerald}},
  title        = {{{(How) do advanced data and analyses enable HR analytics success? A neo-configurational analysis}}},
  doi          = {{10.1108/bjm-05-2021-0188}},
  volume       = {{17}},
  year         = {{2022}},
}

@article{51007,
  author       = {{Wells, Aaron}},
  issn         = {{2152-5188}},
  journal      = {{HOPOS: The Journal of the International Society for the History of Philosophy of Science}},
  keywords     = {{History and Philosophy of Science}},
  number       = {{1}},
  pages        = {{24--53}},
  publisher    = {{University of Chicago Press}},
  title        = {{{Science and the Principle of Sufficient Reason: Du Châtelet contra Wolff}}},
  doi          = {{10.1086/723961}},
  volume       = {{13}},
  year         = {{2022}},
}

@article{43021,
  author       = {{Duderija, B. and González-Orive, A. and Schmidt, H.C. and Calderón, J.C. and Hordych, I. and Maier, H.J. and Homberg, W. and Grundmeier, G.}},
  issn         = {{2666-3309}},
  journal      = {{Journal of Advanced Joining Processes}},
  keywords     = {{Mechanical Engineering, Mechanics of Materials, Engineering (miscellaneous), Chemical Engineering (miscellaneous)}},
  publisher    = {{Elsevier BV}},
  title        = {{{Electrografting of BTSE: Zn films for advanced steel-aluminum joining by plastic deformation}}},
  doi          = {{10.1016/j.jajp.2022.100137}},
  volume       = {{7}},
  year         = {{2022}},
}

@article{31828,
  author       = {{Kupfer, Robert and Köhler, Daniel and Römisch, David and Wituschek, Simon and Ewenz, Lars and Kalich, Jan and Weiß, Deborah and Sadeghian, Behdad and Busch, Matthias and Krüger, Jan and Neuser, Moritz and Grydin, Olexandr and Böhnke, Max and Bielak, Christian Roman and Troschitz, Juliane}},
  issn         = {{2666-3309}},
  journal      = {{Journal of Advanced Joining Processes}},
  keywords     = {{Mechanical Engineering, Mechanics of Materials, Engineering (miscellaneous), Chemical Engineering (miscellaneous)}},
  publisher    = {{Elsevier BV}},
  title        = {{{Clinching of Aluminum Materials – Methods for the Continuous Characterization of Process, Microstructure and Properties}}},
  doi          = {{10.1016/j.jajp.2022.100108}},
  volume       = {{5}},
  year         = {{2022}},
}

@article{31238,
  author       = {{Kupfer, Robert and Köhler, Daniel and Römisch, David and Wituschek, Simon and Ewenz, Lars and Kalich, Jan and Weiß, Deborah and Sadeghian, Behdad and Busch, Matthias and Krüger, Jan Tobias and Neuser, Moritz and Grydin, Olexandr and Böhnke, Max and Bielak, Christian-Roman and Troschitz, Juliane}},
  issn         = {{2666-3309}},
  journal      = {{Journal of Advanced Joining Processes}},
  keywords     = {{Mechanical Engineering, Mechanics of Materials, Engineering (miscellaneous), Chemical Engineering (miscellaneous)}},
  publisher    = {{Elsevier BV}},
  title        = {{{Clinching of Aluminum Materials – Methods for the Continuous Characterization of Process, Microstructure and Properties}}},
  doi          = {{10.1016/j.jajp.2022.100108}},
  year         = {{2022}},
}