@article{34045,
  author       = {{Hoffmann, Christin and Thommes, Kirsten}},
  issn         = {{0959-6526}},
  journal      = {{Journal of Cleaner Production}},
  keywords     = {{Industrial and Manufacturing Engineering, Strategy and Management, General Environmental Science, Renewable Energy, Sustainability and the Environment, Building and Construction}},
  publisher    = {{Elsevier BV}},
  title        = {{{Clear Roads and Dirty Air? Indirect effects of reduced private traffic congestion on emissions from heavy traffic}}},
  doi          = {{10.1016/j.jclepro.2022.135053}},
  year         = {{2022}},
}

@article{34213,
  abstract     = {{In this paper, a study based on experimental and numerical simulations is performed to analyze fatigue cracks in clinched joints. An experimental investigation is conducted to determine the failure modes of clinched joints under cyclic loading at different load amplitudes with single-lap shear tests. In addition, numerical FEM simulations of clinching process and subsequent shear loading are performed to support the experimental investigations by analyzing the state of stresses at the location of failure. An attempt is made to explain the location of crack initiation in the experiments using evaluation variables such as contact shear stress and maximum principal stress.}},
  author       = {{Ewenz, L. and Bielak, Christian Roman and Otroshi, Mortaza and Bobbert, Mathias and Meschut, Gerson and Zimmermann, M.}},
  issn         = {{0944-6524}},
  journal      = {{Production Engineering}},
  keywords     = {{Industrial and Manufacturing Engineering, Mechanical Engineering}},
  number       = {{2-3}},
  pages        = {{305--313}},
  publisher    = {{Springer Science and Business Media LLC}},
  title        = {{{Numerical and experimental identification of fatigue crack initiation sites in clinched joints}}},
  doi          = {{10.1007/s11740-022-01124-z}},
  volume       = {{16}},
  year         = {{2022}},
}

@article{34417,
  abstract     = {{Given strict emission targets and legal requirements, especially in the automotive industry, environmentally friendly and simultaneously versatile applicable production technologies are gaining importance. In this regard, the use of mechanical joining processes, such as clinching, enable assembly sheet metals to achieve strength properties similar to those of established thermal joining technologies. However, to guarantee a high reliability of the generated joint connection, the selection of a best-fitting joining technology as well as the meaningful description of individual joint properties is essential. In the context of clinching, few contributions have to date investigated the metamodel-based estimation and optimization of joint characteristics, such as neck or interlock thickness, by applying machine learning and genetic algorithms. Therefore, several regression models have been trained on varying databases and amounts of input parameters. However, if product engineers can only provide limited data for a new joining task, such as incomplete information on applied joining tool dimensions, previously trained metamodels often reach their limits. This often results in a significant loss of prediction quality and leads to increasing uncertainties and inaccuracies within the metamodel-based design of a clinch joint connection. Motivated by this, the presented contribution investigates different machine learning algorithms regarding their ability to achieve a satisfying estimation accuracy on limited input data applying a statistically based feature selection method. Through this, it is possible to identify which regression models are suitable to predict clinch joint characteristics considering only a minimum set of required input features. Thus, in addition to the opportunity to decrease the training effort as well as the model complexity, the subsequent formulation of design equations can pave the way to a more versatile application and reuse of pretrained metamodels on varying tool configurations for a given clinch joining task.}},
  author       = {{Zirngibl, Christoph and Schleich, Benjamin and Wartzack, Sandro}},
  issn         = {{2673-2688}},
  journal      = {{AI}},
  keywords     = {{Industrial and Manufacturing Engineering}},
  number       = {{4}},
  pages        = {{990--1006}},
  publisher    = {{MDPI AG}},
  title        = {{{Estimation of Clinch Joint Characteristics Based on Limited Input Data Using Pre-Trained Metamodels}}},
  doi          = {{10.3390/ai3040059}},
  volume       = {{3}},
  year         = {{2022}},
}

@article{30193,
  abstract     = {{The successful planning of future product generations requires reliable insights into the actual products’ problems and potentials for improvement. A valuable source for these insights is the product use phase. In practice, product planners are often forced to work with assumptions and speculations as insights from the use phase are insufficiently identified and documented. A new opportunity to address this problem arises from the ongoing digitalization that enables products to generate and collect data during their utilization. Analyzing these data could enable their manufacturers to generate and exploit insights concerning product performance and user behavior, revealing problems and potentials for improvement. However, research on analyzing use phase data in product planning of manufacturing companies is scarce. Therefore, we conducted an exploratory interview study with decision-makers of eight manufacturing companies. The result of this paper is a detailed description of the potentials and challenges that the interviewees associated with analyzing use phase data in product planning. The potentials explain the intended purpose and generic application examples. The challenges concern the products, the data, the customers, the implementation, and the employees. By gathering the potentials and challenges through expert interviews, our study structures the topic from the perspective of the potential users and shows the needs for future research.}},
  author       = {{Meyer, Maurice and Fichtler, Timm and Koldewey, Christian and Dumitrescu, Roman}},
  issn         = {{0890-0604}},
  journal      = {{Artificial Intelligence for Engineering Design, Analysis and Manufacturing}},
  keywords     = {{Artificial Intelligence, Industrial and Manufacturing Engineering}},
  publisher    = {{Cambridge University Press (CUP)}},
  title        = {{{Potentials and challenges of analyzing use phase data in product planning of manufacturing companies}}},
  doi          = {{10.1017/s0890060421000408}},
  volume       = {{36}},
  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}},
}

@article{34214,
  abstract     = {{This article presents the application and evaluation of a cantilever with integrated sensing and actuation as part of an atomic force microscope (AFM) with an adjustable probe direction, which is integrated into a nano measuring machine (NMM-1). The AFM, which is operated in closed-loop intermittent contact mode, is based on two rotational axes that enable the adjustment of the probe direction to cover a complete hemisphere. The axes greatly enlarge the metrology frame of the measuring system by materials with a comparatively high coefficient of thermal expansion, which ultimately limits the achievable measurement uncertainty of the measuring system. Thus, to reduce the thermal sensitivity of the system, the redesign of the rotational kinematics is mandatory. However, in this article, some preliminary investigations on the application of a self-sensing cantilever with an integrated micro heater for its stimulation will be presented. In previous investigations, a piezoelectric actuator has been applied to stimulate the cantilever. However, the removal of the piezoelectric actuator, which is enabled by the application of a cantilever with an integrated micro heater, promises an essential simplification of the sensor holder. Thus, in the future it might be possible to use materials with a low coefficient of thermal expansion, which are often difficult to machine and therefore only allow for rather simple geometries. Furthermore, because of the creepage of piezoelectric actuators, their removal from the metrology frame might lead to improved metrological characteristics. As will be shown, there are no significant differences between the two modes of actuation. Therefore, the redesigned rotational system will be based on the cantilever with integrated sensing and actuation.}},
  author       = {{Schaude, Janik and Hausotte, Tino}},
  issn         = {{2520-811X}},
  journal      = {{Nanomanufacturing and Metrology}},
  keywords     = {{Industrial and Manufacturing Engineering, Mechanical Engineering, Materials Science (miscellaneous)}},
  number       = {{2}},
  pages        = {{139--148}},
  publisher    = {{Springer Science and Business Media LLC}},
  title        = {{{Atomic Force Microscope with an Adjustable Probe Direction and Integrated Sensing and Actuation}}},
  doi          = {{10.1007/s41871-022-00143-9}},
  volume       = {{5}},
  year         = {{2022}},
}

@article{34414,
  abstract     = {{Given a steadily increasing demand on multi-material lightweight designs, fast and cost-efficient production technologies, such as the mechanical joining process clinching, are becoming more and more relevant for series production. Since the application of such joining techniques often base on the ability to reach similar or even better joint loading capacities compared to established joining processes (e.g., spot welding), few contributions investigated the systematic improvement of clinch joint characteristics. In this regard, the use of data-driven methods in combination with optimization algorithms showed already high potentials for the analysis of individual joints and the definition of optimal tool configurations. However, the often missing consideration of uncertainties, such as varying material properties, and the related calculation of their impact on clinch joint properties can lead to poor estimation results and thus to a decreased reliability of the entire joint connection. This can cause major challenges, especially for the design and dimensioning of safety-relevant components, such as in car bodies. Motivated by this, the presented contribution introduces a novel method for the robust estimation of clinch joint characteristics including uncertainties of varying and versatile process chains in mechanical joining. Therefore, the utilization of Gaussian process regression models is demonstrated and evaluated regarding the ability to achieve sufficient prediction qualities.}},
  author       = {{Zirngibl, Christoph and Schleich, Benjamin and Wartzack, Sandro}},
  issn         = {{0268-3768}},
  journal      = {{The International Journal of Advanced Manufacturing Technology}},
  keywords     = {{Industrial and Manufacturing Engineering, Computer Science Applications, Mechanical Engineering, Software, Control and Systems Engineering}},
  publisher    = {{Springer Science and Business Media LLC}},
  title        = {{{Robust estimation of clinch joint characteristics based on data-driven methods}}},
  doi          = {{10.1007/s00170-022-10441-7}},
  year         = {{2022}},
}

@article{47562,
  author       = {{Herrmann, Felix and Grünewald, Marcus and Meijer, Tobias and Gardemann, Ulrich and Feierabend, Lukas and Riese, Julia}},
  issn         = {{0009-2509}},
  journal      = {{Chemical Engineering Science}},
  keywords     = {{Applied Mathematics, Industrial and Manufacturing Engineering, General Chemical Engineering, General Chemistry}},
  publisher    = {{Elsevier BV}},
  title        = {{{Operating window and flexibility of a lab-scale methanation plant}}},
  doi          = {{10.1016/j.ces.2022.117632}},
  volume       = {{254}},
  year         = {{2022}},
}

@article{47561,
  abstract     = {{<jats:title>Abstract</jats:title><jats:p>Additive manufacturing is a promising tool for tailored solutions in chemical engineering. This applies in particular to the design of lab‐scale packed bed columns. We present experimental results to characterize a lab‐scale 3D printed structured metal packing and compare it to a conventional counterpart. The results indicate that necessary adjustments for the manufacturing process of the metal material have an influence on important operating parameters, resulting in higher specific pressure drop, slightly higher liquid holdup and lower mass transfer efficiency.</jats:p>}},
  author       = {{Riese, Julia and Reitze, Arnulf and Grünewald, Marcus}},
  issn         = {{0009-286X}},
  journal      = {{Chemie Ingenieur Technik}},
  keywords     = {{Industrial and Manufacturing Engineering, General Chemical Engineering, General Chemistry}},
  number       = {{7}},
  pages        = {{993--1001}},
  publisher    = {{Wiley}},
  title        = {{{Experimental Characterization of 3D Printed Structured Metal Packing with an Enclosed Column Wall}}},
  doi          = {{10.1002/cite.202200002}},
  volume       = {{94}},
  year         = {{2022}},
}

@article{47556,
  author       = {{Herrmann, Felix and Grünewald, Marcus and Meijer, Tobias and Gardemann, Ulrich and Riese, Julia}},
  issn         = {{0888-5885}},
  journal      = {{Industrial &amp; Engineering Chemistry Research}},
  keywords     = {{Industrial and Manufacturing Engineering, General Chemical Engineering, General Chemistry}},
  number       = {{27}},
  pages        = {{9644--9657}},
  publisher    = {{American Chemical Society (ACS)}},
  title        = {{{Performance of a Laboratory-Scale Methanation Plant with Catalyst Dilution under Dynamic Operating Conditions}}},
  doi          = {{10.1021/acs.iecr.2c00871}},
  volume       = {{61}},
  year         = {{2022}},
}

@article{40644,
  author       = {{Al-Lami, Abbas Jarullah Sangoor and Kenig, Eugeny Y. and Inguva, Venkatesh}},
  issn         = {{1359-4311}},
  journal      = {{Applied Thermal Engineering}},
  keywords     = {{Industrial and Manufacturing Engineering, Energy Engineering and Power Technology}},
  publisher    = {{Elsevier BV}},
  title        = {{{Numerical analysis of conjugate heat transfer within internally channeled tubes}}},
  doi          = {{10.1016/j.applthermaleng.2022.119596}},
  volume       = {{223}},
  year         = {{2022}},
}

@article{29505,
  abstract     = {{In modern vehicle chassis, multi-material design is implemented to apply the appropriate material for each functionality. In spaceframe technology, both sheet metal and continuous cast are joined to castings at the nodal points of the chassis. Since resistance spot welding is not an option when different materials are joined, research is focusing on mechanical joining methods for multi-material designs. To reduce weight and achieve the required strength, hardenable cast aluminium alloys of the AlSi-system are widely used. Thus, 85–90% of aluminium castings in the automotive industry are comprised of the AlSi-system. Due to the limited weldability, mechanical joining is a suitable process. For this application, various optimisation strategies are required to produce a crack-free joint, as the brittle character of the AlSi alloy poses a challenge. Thus, adapted castings with appropriate ductility are needed. Hence, in this study, the age-hardenable cast aluminium alloy AlSi10Mg is investigated regarding the correlation of the different thicknesses, the microstructural characteristics as well as the resulting mechanical properties. A variation of the thicknesses leads to different solidification rates, which in turn affect the microstructure formation and are decisive for the mechanical properties of the casting as well as the joinability. For the investigation, plates with thicknesses from 2.0 to 4.0 mm, each differing by 0.5 mm, are produced via sand casting. Hence, the overall aim is to evaluate the joinability of AlSi10Mg and derive conclusions concerning the microstructure and mechanical properties.</jats:p>}},
  author       = {{Neuser, Moritz and Grydin, Olexandr and Frolov, Y. and Schaper, Mirko}},
  issn         = {{0944-6524}},
  journal      = {{Production Engineering}},
  keywords     = {{Industrial and Manufacturing Engineering, Mechanical Engineering}},
  publisher    = {{Springer Science and Business Media LLC}},
  title        = {{{Influence of solidification rates and heat treatment on the mechanical performance and joinability of the cast aluminium alloy AlSi10Mg}}},
  doi          = {{10.1007/s11740-022-01106-1}},
  year         = {{2022}},
}

@article{53237,
  author       = {{Tavana, Madjid and Kian, Hadi and Nasr, Arash Khalili and Govindan, Kannan and Mina, Hassan}},
  issn         = {{0959-6526}},
  journal      = {{Journal of Cleaner Production}},
  keywords     = {{Industrial and Manufacturing Engineering, Strategy and Management, General Environmental Science, Renewable Energy, Sustainability and the Environment}},
  publisher    = {{Elsevier BV}},
  title        = {{{A comprehensive framework for sustainable closed-loop supply chain network design}}},
  doi          = {{10.1016/j.jclepro.2021.129777}},
  volume       = {{332}},
  year         = {{2022}},
}

@article{53242,
  author       = {{Ebadi Torkayesh, Ali and Tavana, Madjid and Santos-Arteaga, Francisco J.}},
  issn         = {{0959-6526}},
  journal      = {{Journal of Cleaner Production}},
  keywords     = {{Industrial and Manufacturing Engineering, Strategy and Management, General Environmental Science, Renewable Energy, Sustainability and the Environment, Building and Construction}},
  publisher    = {{Elsevier BV}},
  title        = {{{A multi-distance interval-valued neutrosophic approach for social failure detection in sustainable municipal waste management}}},
  doi          = {{10.1016/j.jclepro.2022.130409}},
  volume       = {{336}},
  year         = {{2022}},
}

@article{43156,
  abstract     = {{The use of mechanical joining technologies offers the possibility of joining mixed material structures, which are used in particular in lightweight construction. An integrated securing of the joinability in versatile process chains is currently hardly possible as the number of combinable tool variants as well as variable force- and path-based process parameters is infinite. A versatile process chain, i.e. a sequence of all the processes and process steps required for product manufacturing, enables targeted changes to the semi-finished product, the joint, the component or the joining process that exceed the originally planned extend while still ensuring joinability. In detail, it leads to a unique joint with its own mechanical property profile, which, against the background of the resulting infinite number of combinations, makes it impossible to secure the joinability on the conventional experimentally based approach without extensive safety factors. The Transregional Colaborative Research Center 285 (TCRC285), which also initiated this special issue, is intended to enable mechanical joining technology to be versatile in the sense of high application flexibility. This is to be achieved with a numerical representation of the complete process chain from the incoming semi finished product via the joining part production and the joining process to the property profile of the joint in the operating phase. Thus a predictability of the joinability can be achieved and improvements in the individual life cycles of a joint can be realized by grasping the cause-and-effect relationships. On the basis of this knowledge, new possibilities for intervention in the joining process are to be created for the adaptation of the joining processes. With the aid of the methods developed for this purpose, tools will later be available to the end user to substitute the large number of mechanical joining processes or joining task-specific configurations with a smaller number of adaptable processes. This expands the flexibility in material choices, enabling challenges in environmental issues and sustainability to be overcome.}},
  author       = {{Meschut, Gerson and Merklein, Marion and Brosius, Alexander and Bobbert, Mathias}},
  issn         = {{0944-6524}},
  journal      = {{Production Engineering}},
  keywords     = {{Industrial and Manufacturing Engineering, Mechanical Engineering}},
  number       = {{2-3}},
  pages        = {{187--191}},
  publisher    = {{Springer Science and Business Media LLC}},
  title        = {{{Mechanical joining in versatile process chains}}},
  doi          = {{10.1007/s11740-022-01125-y}},
  volume       = {{16}},
  year         = {{2022}},
}

@article{34241,
  abstract     = {{Due to the increasing use of multi-material constructions and the resulting material incompatibilities, mechanical joining technologies are gaining in importance. The reasons for this are the variety of joining possibilities as well as high load-bearing capacities. However, the currently rigid tooling systems cannot react to changing boundary conditions, such as changed sheet thicknesses or strength. For this reason, a large number of specialised joining processes have been developed to expand the range of applications. Using a versatile self-piercing riveting process, multi-material structures are joined in this paper. In this process, a modified tool actuator technology is combined with multi-range capable auxiliary joining parts. The multi-range capability of the rivets is achieved by forming the rivet head onto the respective thickness of the joining part combination without creating a tooling set-up effort. The joints are investigated both experimentally on the basis of joint formation and load-bearing capacity tests as well as by means of numerical simulation. It turned out that all the joints examined could be manufactured according to the defined standards. The load-bearing capacities of the joints are comparable to those of conventionally joined joints. In some cases the joint fails prematurely, which is why lower energy absorptions are obtained. However, the maximum forces achieved are higher than those of conventional joints. Especially in the case of high-strength materials arranged on the die side, the interlock formation is low. In addition, the use of die-sided sheets requires a large deformation of the rivet head protrusion, which leads to an increase in stress and, as a result, to damage if the rivet head. However, a negative influence on the joint load-bearing capacity could be excluded.</jats:p>}},
  author       = {{Kappe, Fabian and Wituschek, Simon and Bobbert, Mathias and Lechner, Michael and Meschut, Gerson}},
  issn         = {{0944-6524}},
  journal      = {{Production Engineering}},
  keywords     = {{Industrial and Manufacturing Engineering, Mechanical Engineering}},
  publisher    = {{Springer Science and Business Media LLC}},
  title        = {{{Joining of multi-material structures using a versatile self-piercing riveting process}}},
  doi          = {{10.1007/s11740-022-01151-w}},
  year         = {{2022}},
}

@article{30100,
  abstract     = {{Since the application of mechanical joining methods, such as clinching or riveting, offers a robust solution for the generation of advanced multi-material connections, the use in the field of lightweight designs (e.g. automotive industry) is steadily increasing. Therefore, not only the design of an individual joint is required but also the dimensioning of the entire joining connection is crucial. However, in comparison to thermal joining techniques, such as spot welding, the evaluation of the joints’ resistance against defined requirements (e.g. types of load, minimal amount of load cycles) mainly relies on the consideration of expert knowledge, a few design principles and a small amount of experimental data. Since this generally implies the involvement of several domains, such as the material characterization or the part design, a tremendous amount of data and knowledge is separately generated for a certain dimensioning process. Nevertheless, the lack of formalization and standardization in representing the gained knowledge leads to a difficult and inconsistent reuse, sharing or searching of already existing information. Thus, this contribution presents a specific ontology for the provision of cross-domain knowledge about mechanical joining processes and highlights two potential use cases of this ontology in the design of clinched and pin joints.</jats:p>}},
  author       = {{Zirngibl, Christoph and Kügler, Patricia and Popp, Julian and Bielak, Christian Roman and Bobbert, Mathias and Drummer, Dietmar and Meschut, Gerson and Wartzack, Sandro and Schleich, Benjamin}},
  issn         = {{0944-6524}},
  journal      = {{Production Engineering}},
  keywords     = {{Industrial and Manufacturing Engineering, Mechanical Engineering}},
  publisher    = {{Springer Science and Business Media LLC}},
  title        = {{{Provision of cross-domain knowledge in mechanical joining using ontologies}}},
  doi          = {{10.1007/s11740-022-01117-y}},
  year         = {{2022}},
}

@article{34244,
  author       = {{Kappe, Fabian and Zirngibl, Christoph and Schleich, Benjamin and Bobbert, Mathias and Wartzack, Sandro and Meschut, Gerson}},
  issn         = {{1526-6125}},
  journal      = {{Journal of Manufacturing Processes}},
  keywords     = {{Industrial and Manufacturing Engineering, Management Science and Operations Research, Strategy and Management}},
  pages        = {{1438--1448}},
  publisher    = {{Elsevier BV}},
  title        = {{{Determining the influence of different process parameters on the versatile self-piercing riveting process using numerical methods}}},
  doi          = {{10.1016/j.jmapro.2022.11.019}},
  volume       = {{84}},
  year         = {{2022}},
}

