Identifikation von Zielkonflikten bei der Anwendung von Potenzialen additiver Fertigungsverfahren

Fuchs, Daniel; Kuschmitz, Sebastian; Kühlke, Kevin; Vietor, Thomas

doi:10.1007/978-3-662-61149-4_14

Cited by 4 publications

(2 citation statements)

References 17 publications

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“…[2,4,7] In the DfAM context, one focus is currently on how AM design potentials and process-specific restrictions can be taken into account in the idea and conception phase of the general product development process [2,3]. For this purpose, different solution proposals were developed within the research field, which supports during product development and consist of design rules, checklists with indications of AM potentials, AM-specific knowledge bases [8,15,16] or additional tools like the systematic network of AM design potentials [3] or the matrix of conflicting AM potentials [17] exist. In addition, the empowerment of users is also increasingly in focus, because the possibilities of additive manufacturing as well as the benefit-oriented application of the design potentials can only be realized with the help of benefit-and goal-oriented procedures or instructions.…”

Section: Designs For Additive Manufacturingmentioning

confidence: 99%

Digital Knowledge Transfer for Additive Manufacturing Using Blended Learning

Kuschmitz¹,

Hoppe²,

Gembarski³

et al. 2022

DS 117: Proceedings of the 24th International Conference on Engineering and Product Design Education (E&PDE 2022), London S

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Additive manufacturing (AM) processes provide new levels of design freedom during product development as a result of the layer-by-layer build-up process, so that graded lattice structures, internal cooling channels, or other geometrically distinctive design features are taken into account at an early stage of product development. In addition, these complex geometric features can be realized without significant additional effort during the additive manufacturing process while complying with the restrictions of AM. The "Design for additive manufacturing" research field is trying to offer methods and tools to support the product developer in exploiting the AM potentials and to maintain compliance with the restrictions of the manufacturing process to be able to apply these design freedoms in a targeted and benefit-oriented manner during product development. However, due to a lack of AM knowledge and limited software solutions, the application of these methods and tools is not always possible, because necessary AM knowledge is partial or even completely missing. For this reason, teaching and learning offers are needed that systematically impart specific AM knowledge so that these barriers in product development can be overcome. In this paper, the systematic knowledge acquisition for specific AM knowledge is presented using the example of interactive teaching and learning offers. For this purpose, the basics of systematic knowledge transfer for AM will be discussed first to show the state of research. This is followed by the presentation of the interactive learning environment, which makes AM-relevant topics experienceable utilizing interactive 3D models. Finally, a validation of the presented learning environment for the transfer of specific AM knowledge is presented.

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Section: Designs For Additive Manufacturingmentioning

confidence: 99%

Digital Knowledge Transfer for Additive Manufacturing Using Blended Learning

Kuschmitz¹,

Hoppe²,

Gembarski³

et al. 2022

DS 117: Proceedings of the 24th International Conference on Engineering and Product Design Education (E&PDE 2022), London S

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“…Over the past 30 years, the field of AM has grown and matured, reaching acceptance as a certified manufacturing technology in various industries, such as aerospace, health care and automotive [5][6][7]. Along with the advantages of AM to efficiently produce small lot sizes locally and on demand [7,8], its design potentials and restrictions are being explored in the field of research Design for Additive Manufacturing (hereinafter referred to as DfAM) [7,[9][10][11][12]. Besides AM potentials, e.g.…”

Section: Design For Additive Manufacturing and Its Potentialsmentioning

confidence: 99%

Potential impact of additive manufacturing and topology optimization inspired lightweight design on vehicle track performance

Tschorn¹,

Fuchs

Vietor

2021

Int J Interact Des Manuf

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This paper describes an interactive approach for analyzing the impact of the enhanced design freedom in additive manufacturing (AM) combined with topology optimization. The main goal is to identify weight saving potentials on a holistic vehicle level and evaluate the influence on vehicle performance by means of lap time savings. Therefore lightweight use cases enabled by AM are gathered in a database. Projecting the weight reduction rates of this database to a sports car as reference vehicle by means of a weight list, CAD data and a part relation analysis leads to an overall weight saving potential. This analysis shows significant weight saving potentials for each technical section of an already lightweight design focused sports car, namely the Bugatti Chiron. The improvement in track performance considering the weight savings is put into perspective by means of lap time simulation on the Nürburgring Nordschleife and corroborate the identified weight saving potentials.

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