[{"citation":{"mla":"Kaimann, Pia Katharina, et al. “Influence of the Shank Geometry on the Joint Formation of the Versatile Self-Piercing Riveting of Ultra-High-Strength Steel-Aluminium and Aluminium-Aluminium Assemblies.” <i>Discover Mechanical Engineering</i>, vol. 5, no. 1, 43, Springer Science and Business Media LLC, 2026, doi:<a href=\"https://doi.org/10.1007/s44245-026-00221-y\">10.1007/s44245-026-00221-y</a>.","apa":"Kaimann, P. K., Ritter, N., Bobbert, M., &#38; Meschut, G. (2026). Influence of the shank geometry on the joint formation of the versatile self-piercing riveting of ultra-high-strength steel-aluminium and aluminium-aluminium assemblies. <i>Discover Mechanical Engineering</i>, <i>5</i>(1), Article 43. <a href=\"https://doi.org/10.1007/s44245-026-00221-y\">https://doi.org/10.1007/s44245-026-00221-y</a>","ieee":"P. K. Kaimann, N. Ritter, M. Bobbert, and G. Meschut, “Influence of the shank geometry on the joint formation of the versatile self-piercing riveting of ultra-high-strength steel-aluminium and aluminium-aluminium assemblies,” <i>Discover Mechanical Engineering</i>, vol. 5, no. 1, Art. no. 43, 2026, doi: <a href=\"https://doi.org/10.1007/s44245-026-00221-y\">10.1007/s44245-026-00221-y</a>.","short":"P.K. Kaimann, N. Ritter, M. Bobbert, G. Meschut, Discover Mechanical Engineering 5 (2026).","ama":"Kaimann PK, Ritter N, Bobbert M, Meschut G. Influence of the shank geometry on the joint formation of the versatile self-piercing riveting of ultra-high-strength steel-aluminium and aluminium-aluminium assemblies. <i>Discover Mechanical Engineering</i>. 2026;5(1). doi:<a href=\"https://doi.org/10.1007/s44245-026-00221-y\">10.1007/s44245-026-00221-y</a>","chicago":"Kaimann, Pia Katharina, Nico Ritter, Mathias Bobbert, and Gerson Meschut. “Influence of the Shank Geometry on the Joint Formation of the Versatile Self-Piercing Riveting of Ultra-High-Strength Steel-Aluminium and Aluminium-Aluminium Assemblies.” <i>Discover Mechanical Engineering</i> 5, no. 1 (2026). <a href=\"https://doi.org/10.1007/s44245-026-00221-y\">https://doi.org/10.1007/s44245-026-00221-y</a>.","bibtex":"@article{Kaimann_Ritter_Bobbert_Meschut_2026, title={Influence of the shank geometry on the joint formation of the versatile self-piercing riveting of ultra-high-strength steel-aluminium and aluminium-aluminium assemblies}, volume={5}, DOI={<a href=\"https://doi.org/10.1007/s44245-026-00221-y\">10.1007/s44245-026-00221-y</a>}, number={143}, journal={Discover Mechanical Engineering}, publisher={Springer Science and Business Media LLC}, author={Kaimann, Pia Katharina and Ritter, Nico and Bobbert, Mathias and Meschut, Gerson}, year={2026} }"},"quality_controlled":"1","project":[{"_id":"130","name":"TRR 285:  Methodenentwicklung zur mechanischen Fügbarkeit in wandlungsfähigen Prozessketten"},{"_id":"133","name":"TRR 285 - Project Area C"},{"_id":"146","name":"TRR 285 - Subproject C02"}],"publisher":"Springer Science and Business Media LLC","_id":"65373","user_id":"44935","volume":5,"status":"public","date_created":"2026-04-08T08:25:32Z","type":"journal_article","department":[{"_id":"43"},{"_id":"157"}],"issue":"1","publication":"Discover Mechanical Engineering","abstract":[{"lang":"eng","text":"To reduce CO₂ emissions, the automotive industry is adopting multi-material structures. Fusion-based joining reaches its limits for aluminium–steel due to brittle intermetallic phases and mismatched thermophysical properties; therefore, mechanical joining (e.g., SPR) is used. Though conventional SPR requires tool changes for different stack-ups. Versatile self-piercing riveting (V-SPR) addresses this with an extended punch actuator and a multi-range-capable rivet (Kappe in PERD16:363–378, 2022), enabling joints up to 600 MPa across varying thicknesses without retooling. With the use of ultra-high-strength steels up to 1000 MPa, optimisation is required. This study quantifies how rivet shank geometry affects joint formation using a design of experiments and validated 2D axisymmetric FE simulations. The optimum depends strongly on the material system. For CP1000–EN AW-6014, maximum interlock f is predicted for a medium shank thickness of about 0.73 mm, a small internal foot radius of 0.620 mm, and a deeper drill depth of 3.136 mm, yielding f fc =0.4503 mm with a desirability of 0.954. For EN AW-6014–EN AW-6014, the optimum shifts to a thinner shank of 0.670 mm, a larger internal foot radius of 0.820 mm and a shallow drill depth of 2.30 mm, giving ffc = 0.3023 mm with a desirability of 1.0. A compromise geometry of 0.713 mm shank thickness, 0.776 mm internal foot radius and 2.755 mm drill depth achieves ffc = 0.3641 mm for CP1000–aluminium and ffc = 0.1851 mm for aluminium–aluminium with an overall desirability D = 0.6378, expanding V-SPR to ultra-high-strength steel–aluminium joints while maintaining aluminium joinability."}],"article_number":"43","language":[{"iso":"eng"}],"doi":"10.1007/s44245-026-00221-y","year":"2026","title":"Influence of the shank geometry on the joint formation of the versatile self-piercing riveting of ultra-high-strength steel-aluminium and aluminium-aluminium assemblies","publication_identifier":{"issn":["2731-6564"]},"author":[{"full_name":"Kaimann, Pia Katharina","first_name":"Pia Katharina","last_name":"Kaimann","id":"44935"},{"full_name":"Ritter, Nico","last_name":"Ritter","first_name":"Nico"},{"last_name":"Bobbert","first_name":"Mathias","full_name":"Bobbert, Mathias","id":"7850"},{"full_name":"Meschut, Gerson","last_name":"Meschut","first_name":"Gerson","orcid":"0000-0002-2763-1246","id":"32056"}],"date_updated":"2026-04-08T08:34:40Z","publication_status":"published","intvolume":"         5"},{"citation":{"bibtex":"@article{Einwag_Wiemer_Wartzack_Goetz_2026, title={A hybrid knowledge based and data based approach for efficient clinch joint design}, volume={5}, DOI={<a href=\"https://doi.org/10.1007/s44245-026-00230-x\">10.1007/s44245-026-00230-x</a>}, number={156}, journal={Discover Mechanical Engineering}, publisher={Springer Science and Business Media LLC}, author={Einwag, Jonathan-Markus and Wiemer, Maximilian and Wartzack, Sandro and Goetz, Stefan}, year={2026} }","ama":"Einwag J-M, Wiemer M, Wartzack S, Goetz S. A hybrid knowledge based and data based approach for efficient clinch joint design. <i>Discover Mechanical Engineering</i>. 2026;5(1). doi:<a href=\"https://doi.org/10.1007/s44245-026-00230-x\">10.1007/s44245-026-00230-x</a>","mla":"Einwag, Jonathan-Markus, et al. “A Hybrid Knowledge Based and Data Based Approach for Efficient Clinch Joint Design.” <i>Discover Mechanical Engineering</i>, vol. 5, no. 1, 56, Springer Science and Business Media LLC, 2026, doi:<a href=\"https://doi.org/10.1007/s44245-026-00230-x\">10.1007/s44245-026-00230-x</a>.","chicago":"Einwag, Jonathan-Markus, Maximilian Wiemer, Sandro Wartzack, and Stefan Goetz. “A Hybrid Knowledge Based and Data Based Approach for Efficient Clinch Joint Design.” <i>Discover Mechanical Engineering</i> 5, no. 1 (2026). <a href=\"https://doi.org/10.1007/s44245-026-00230-x\">https://doi.org/10.1007/s44245-026-00230-x</a>.","short":"J.-M. Einwag, M. Wiemer, S. Wartzack, S. Goetz, Discover Mechanical Engineering 5 (2026).","ieee":"J.-M. Einwag, M. Wiemer, S. Wartzack, and S. Goetz, “A hybrid knowledge based and data based approach for efficient clinch joint design,” <i>Discover Mechanical Engineering</i>, vol. 5, no. 1, Art. no. 56, 2026, doi: <a href=\"https://doi.org/10.1007/s44245-026-00230-x\">10.1007/s44245-026-00230-x</a>.","apa":"Einwag, J.-M., Wiemer, M., Wartzack, S., &#38; Goetz, S. (2026). A hybrid knowledge based and data based approach for efficient clinch joint design. <i>Discover Mechanical Engineering</i>, <i>5</i>(1), Article 56. <a href=\"https://doi.org/10.1007/s44245-026-00230-x\">https://doi.org/10.1007/s44245-026-00230-x</a>"},"project":[{"_id":"130","name":"TRR 285:  Methodenentwicklung zur mechanischen Fügbarkeit in wandlungsfähigen Prozessketten"},{"name":"TRR 285 - Project Area B","_id":"132"},{"_id":"144","name":"TRR 285 - Subproject B05"}],"status":"public","publisher":"Springer Science and Business Media LLC","_id":"65620","volume":5,"user_id":"107109","publication":"Discover Mechanical Engineering","issue":"1","abstract":[{"lang":"eng","text":"<jats:title>Abstract</jats:title>\r\n                  <jats:p>The design of clinch joints is a cost- and time-intensive iterative process due to the complex relationships between tool and process parameters and the resulting joint properties. To address this, this contribution proposes a novel hybrid workflow that combines knowledge- and data-based approaches. Relationships are categorized based on their knowledge quality and the need for a quantitative prediction. Well-established, generalizable relationships are formalized in an ontology as design guidelines (no quantification required) or SWRL rules (quantification required) to model expert knowledge. In contrast, hard-to-formalize or not-fully-understood relationships are treated with regression models for continuous or classification models for binary criteria. These approaches are combined in a generic user interface (GUI), where the ontology can be accessed using predefined SPARQL queries to select and adapt parameters using expert knowledge. These parameters are then used as input for the metamodels. The developed workflow is evaluated on two exemplary joining tasks to illustrate, how designers can retrieve similar prior joints, adapt parameters using the encoded design rules and predict resulting joint properties under varying process conditions. In summary, the combination of ontology and metamodels facilitates the transition of trial and error into an efficient, documentable design process.</jats:p>"}],"date_created":"2026-05-13T11:46:44Z","type":"journal_article","publication_identifier":{"issn":["2731-6564"]},"author":[{"full_name":"Einwag, Jonathan-Markus","first_name":"Jonathan-Markus","last_name":"Einwag"},{"full_name":"Wiemer, Maximilian","last_name":"Wiemer","first_name":"Maximilian"},{"full_name":"Wartzack, Sandro","last_name":"Wartzack","first_name":"Sandro"},{"full_name":"Goetz, Stefan","first_name":"Stefan","last_name":"Goetz"}],"year":"2026","title":"A hybrid knowledge based and data based approach for efficient clinch joint design","intvolume":"         5","publication_status":"published","date_updated":"2026-05-13T11:50:48Z","language":[{"iso":"eng"}],"article_number":"56","doi":"10.1007/s44245-026-00230-x"}]