Implementation of a design support tool for additive manufacturing using a feature database: an industrial case study

Omidvarkarjan, Daniel; Cipriano, Daniele; Rosenbauer, Ralph; Biedermann, Manuel; Meboldt, Mirko

doi:10.1007/s40964-020-00119-5

Cited by 5 publications

(2 citation statements)

References 16 publications

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“…[ 55 ] A recent work made new progress in this direction by parameterizing the features to enable future reuse and modification. [ 56 ] The database in this work was integrated into the computer‐aided design environment to enable direct feature import and modification in the embodiment and a detailed design phase. When tested by an experienced designer, the database provided additional design solutions and reduced design iterations.…”

Section: Databases That Need To Be Developedmentioning

confidence: 99%

Strengthening the Sustainability of Additive Manufacturing through Data‐Driven Approaches and Workforce Development

Yeo

2021

Advanced Intelligent Systems

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The additive manufacturing (AM) industry is rapidly developing and expanding, thereby becoming an important and integral component of the digital revolution in manufacturing practices. While the engineering aspects of AM are under intensive research, there still remain many chances to strengthen the sustainability of additive manufacturing (SAM). Cogently increasing the AM community's attention to SAM is vital for developing the AM industry sustainably from the bottom up. The digital nature of AM provides new opportunities for acquiring, storing, and utilizing data to strengthen SAM through data‐driven approaches. Herein, spotlight on SAM is shone upon and it is placed on a more concrete footing. The corresponding advances in data‐driven methods that can strengthen SAM are featured, such as optimizing designs for AM, reducing material waste, and developing databases. How the AM workforce can be developed and grown as a collaboration between the industry, government, and academia to extensively harness the full potential of AM as well as mitigate its adversarial social impact is discussed. Finally, several critical digital techniques that have the potential to further strengthen SAM in the factory of the future, including hybrid manufacturing, Internet of Things, and machine learning and artificial intelligence, are highlighted.

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Section: Databases That Need To Be Developedmentioning

confidence: 99%

Strengthening the Sustainability of Additive Manufacturing through Data‐Driven Approaches and Workforce Development

Yeo

2021

Advanced Intelligent Systems

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“…The design freedom of AM allowed for a flexible division and exchange of the increasingly more complex functional building blocks. Furthermore, functional refinement loops were avoided for certain design concepts with the help of a feature database for AM [11]. By reusing prior validated building blocks from the tool, the amount of iterations was reduced (see Iterative Refinement (2) in Figure 2) for features that were stored in the repository (e.g.…”

Section: Iterative Refinementmentioning

confidence: 99%

Prototyping Strategies for the Agile Development of Additive Manufactured Products: A Case Study from the COVID-19 Pandemic

Omidvarkarjan¹,

Rosenbauer²,

Kirschenbaum³

et al. 2020

Proceedings of the 31st Symposium Design for X (DFX2020)

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Frequent validations of physical product increments play an essential role for Agile Hardware Development (AHD). This paper presents practices for the accelerated embodiment of increments based on the analysis of an AHD project. It describes adaptations of established prototyping strategies for the use of Additive Manufacturing (AM), covering iterative refinement, parallel development, prototyping media change and scheduling of build phases. The application of the practices led to an accelerated embodiment process with mean iteration lengths of 6 days and a first release of a viable product increment within 18 days. By enabling early and frequent validations with tangible increments, the practices facilitate the effective application of AHD in practice.

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Implementation of Additive Manufacturing in Industry

Omidvarkarjan,

Rosenbauer,

Klahn

et al. 2023

Springer Handbook of Additive Manufacturing

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Implementation of a design support tool for additive manufacturing using a feature database: an industrial case study

Cited by 5 publications

References 16 publications

Strengthening the Sustainability of Additive Manufacturing through Data‐Driven Approaches and Workforce Development

Strengthening the Sustainability of Additive Manufacturing through Data‐Driven Approaches and Workforce Development

Prototyping Strategies for the Agile Development of Additive Manufactured Products: A Case Study from the COVID-19 Pandemic

Implementation of Additive Manufacturing in Industry

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