caa a22 4500 60554073X CHVBK 20210128100913.0 cr unu---uuuuu 210128e20150601xx s 000 0 eng 10.1007/s00371-015-1109-8 doi (NATIONALLICENCE)springer-10.1007/s00371-015-1109-8 Adaptive voids [Elektronische Daten] Primal and dual adaptive cellular structures for additive manufacturing [Asla MedeiroseSá, Vinícius Mello, Karina RodriguezEchavarria, Derek Covill] Additive manufacturing processes have the potential to change the way we produce everyday objects. Design for additive manufacturing focuses on dealing with the characteristics and constraints of a given additive process. These constraints include both geometric and material constraints which have a major impact on the feasibility, quality and cost of the printed object. When designing for additive manufacturing, one of the desirable objectives is to reduce the amount of material while maximising the strength of the printed part. For this, the inclusion of cellular structures in the design has been an efficient way to address these constraints while supporting other application-specific requirements. These structures, which are commonly inspired by shapes found in nature, provide high strength while maintaining a low mass. In this paper we propose the adaptive voids algorithm, an automatic approach to generate, given a volume boundary, a parameterised adaptive infill primal and/or dual cellular structure for additive manufacturing. The produced output can potentially be applied in various applications, including design and engineering, architecture, clothing and protective equipment, furniture and biomedical applications. Springer-Verlag Berlin Heidelberg, 2015 Additive manufacturing nationallicence Cellular structures nationallicence 3D printing nationallicence Primal-dual cellular structures nationallicence Geometric modeling nationallicence Cell complexes nationallicence MedeiroseSá Asla Escola de Matemática Aplicada FGV/EMAp, Rio de Janeiro, Brazil aut Mello Vinícius Departamento de Matemática, UFBA, Salvador, Brazil aut RodriguezEchavarria Karina Cultural Informatics Research Group, University of Brighton, Brighton, UK aut Covill Derek Department of Computing, Engineering and Mathematics, University of Brighton, Brighton, UK aut The Visual Computer Springer Berlin Heidelberg 31/6-8(2015-06-01), 799-808 0178-2789 31:6-8<799 2015 31 371 https://doi.org/10.1007/s00371-015-1109-8 text/html Onlinezugriff via DOI BK010053 XK010053 XK010000 Metadata rights reserved Springer special CC-BY-NC licence nationallicence 1 research-article jats NATIONALLICENCE NATIONALLICENCE NL-springer NATIONALLICENCE 856 40 https://doi.org/10.1007/s00371-015-1109-8 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- MedeiroseSá Asla Escola de Matemática Aplicada FGV/EMAp, Rio de Janeiro, Brazil aut NATIONALLICENCE 700 1- Mello Vinícius Departamento de Matemática, UFBA, Salvador, Brazil aut NATIONALLICENCE 700 1- RodriguezEchavarria Karina Cultural Informatics Research Group, University of Brighton, Brighton, UK aut NATIONALLICENCE 700 1- Covill Derek Department of Computing, Engineering and Mathematics, University of Brighton, Brighton, UK aut NATIONALLICENCE 773 0- The Visual Computer Springer Berlin Heidelberg 31/6-8(2015-06-01), 799-808 0178-2789 31:6-8<799 2015 31 371