Modelling Behaviour for Distributed Additive Manufacturing

Royo, Jorge Duro; Soldevila, Laia; Kayser, Markus; Oxman, Neri

doi:10.1007/978-3-319-24208-8_25

Cited by 3 publications

(2 citation statements)

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“…Arriving from the fields of aircraft and aerospace industry as well as material science, functional grading in architecture is driven by the opportunity to interface and control material deposition. Efforts for functional grading have taken place across a range of material systems including concrete (Herrmann & Sobek, 2017 ), fibreglass (Nicholas & Tamke, 2013 ), fibre winding (Estrada et al, n.d. ) and various strategies for 3D printing (Doubrovski et al, 2015 ; Royo et al, 2015 ). Here, material fabrication systems are precision steered to strategically allocate material in order to fulfil highly localised performance criteria.…”

Section: Cita: Centre For It and Architecturementioning

confidence: 99%

“…The fundamental perception of materials as inherently designable follows a twentieth century percept in which radical innovation in polymer science drove a new class of materials. By situating this percept with a bio-based material paradigm, computational design is expanding these methodologies through the exploration of how inherent dynamic behaviours can be characterised and steered (Dahy & Knippers, 2017 ; Sanandiya et al, 2018 ), and how functional grading at element as well as material level can further tune the instrumentalization of these behaviours (Royo et al, 2015 ) (Fig. 11 ).…”

Section: Cita: Centre For It and Architecturementioning

confidence: 99%

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Computational design logics for bio-based design

Thomsen

2022

ARIN

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This paper examines how the central contributions of the computational design field can be understood as central steppingstones into an age of sustainability to engage with new renewable, regenerative and restorative material systems. By taking departure in the conceptualisation of an extended digital chain by which architecture can address fabrication at the low scales of the material, this paper asks how these methodological innovations can be transferred to new questions arising from a bio-based material paradigm. The paper outlines the three central contributions of the computational design field: advanced information modelling, functional grading and integrated sensing, and suggests how these can be extended to allow new means of instrumentation for bio-based materials characterised by the heterogeneous, the behaving and the living.

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