Harnessing manufacturing elements to select local process parameters for metal additive manufacturing: A case study on a superconducting solenoid coil

Ferchow, Julian; Biedermann, Manuel; Müller, Pascal; Auchmann, Bernhard; Brem, André; Meboldt, Mirko

doi:10.1016/j.addma.2021.102140

Cited by 3 publications

(3 citation statements)

References 31 publications

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“…Design algorithms are adopted to support designers and interdisciplinary teams when making decisions during product development and optimisation, by providing knowledge models and management [34][35][36][37][38]. The complex relationships between process, structure, property, and performance are modelled by intelligent computer-aided tools [39]. Computational tools can be used throughout the design process to support decision-making.…”

Section: Generative Design Algorithmsmentioning

confidence: 99%

“…AM is an inherently digital-based process, thus making it suitable for intelligent and automated workflows. Automated knowledge-based design and process planning workflows allow the designer to consider the design implications related to functional requirement fulfillment and restrictions inherent to the AM process so as to avoid manufacturability issues [39,43,44]. Human-machine collaboration makes a UCD approach more accessible, by providing tools for maximising design potential [40].…”

Section: Generative Design Algorithmsmentioning

confidence: 99%

“…The complex relationships between process parameters, functional characteristics, and material properties can easily be modelled by generative design algorithms. This process is challenging, as the design requirements can be conflicting in nature [40], and can lead to manufacturability issues during production [39,43,44].…”

Section: (D) Relationship Between Additive Manufacturing and Generati...mentioning

confidence: 99%

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Additive Manufacturing in Bespoke Interactive Devices—A Thematic Analysis

et al. 2023

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Additive Manufacturing (AM) facilitates product development due to the various native advantages of AM when compared to traditional manufacturing processes. Efficiency, customisation, innovation, and ease of product modifications are a few advantages of AM. This manufacturing process can therefore be applied to fabricate customisable devices, such as bespoke interactive devices for rehabilitation purposes. In this context, a two-day workshop titled Design for Additive Manufacturing: Future Interactive Devices (DEFINED) was held to discuss the design for AM issues encountered in the development of an innovative bespoke controller and supporting platform, in a Virtual Reality (VR)-based environment, intended for people with limited dexterity in their hands. The workshop sessions were transcribed, and a thematic analysis was carried out to identify the main topics discussed. The themes were Additive Manufacturing, Generative Design Algorithms, User-Centred Design, Measurement Devices for Data Acquisition, Virtual Reality, Augmented Reality, and Haptics. These themes were then discussed in relation to the available literature. The main conclusion of this workshop was that a coherent design for AM tools is needed by designers to take AM considerations throughout the design process, since they lack the AM knowledge required to develop bespoke interactive devices.

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