Provision of cross-domain knowledge in mechanical joining using ontologies

Author:

Zirngibl ChristophORCID,Kügler Patricia,Popp Julian,Bielak Christian R.,Bobbert Mathias,Drummer Dietmar,Meschut Gerson,Wartzack Sandro,Schleich Benjamin

Abstract

AbstractSince 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.

Funder

Deutsche Forschungsgemeinschaft

Friedrich-Alexander-Universität Erlangen-Nürnberg

Publisher

Springer Science and Business Media LLC

Subject

Industrial and Manufacturing Engineering,Mechanical Engineering

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Knowledge-based product and process design synthesis of additively manufactured non-assembly mechanisms;Journal of Engineering Design;2024-04-30

2. Compatibility Assessment for Interfaces in Drivetrains of Robot-Like Systems;Procedia Computer Science;2024

3. Robust estimation of clinch joint characteristics based on data-driven methods;The International Journal of Advanced Manufacturing Technology;2022-11-25

4. Robustness Analysis of Pin Joining;Journal of Manufacturing and Materials Processing;2022-10-16

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