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Integration of Topology Optimisation and Design Variants Selection for Additive Manufacturing-Based Systematic Product Redesign

Articolo
Data di Pubblicazione:
2020
Citazione:
Integration of Topology Optimisation and Design Variants Selection for Additive Manufacturing-Based Systematic Product Redesign / Dalpadulo, Enrico; Gherardini, Francesco; Pini, Fabio; Leali, Francesco. - In: APPLIED SCIENCES. - ISSN 2076-3417. - 10:21(2020), pp. 1-13. [10.3390/app10217841]
Abstract:
The development of additive manufacturing allows the transformation of technological processes and the redesign of products. Among the most used methods to support additive manufacturing, the design can be optimised through the integration of topology optimisation techniques, allowing for creating complex shapes. However, there are critical issues (i.e., definition of product and process parameters, selection of redesign variants, optimised designs interpretation, file exchange and data management, etc.) in identifying the most appropriate process and set-ups, as well as in selecting the best variant on a functional and morphological level. Therefore, to fully exploit the technological potentials and overcome the drawbacks, this paper proposes a systematic redesign approach based on additive manufacturing technologies that integrate topology optimisation and a tool for selecting design variants based on the optimisation of both product and process features. The method leads to the objective selection of the best redesigned configuration in accordance with the key performance indicators (KPIs) (i.e., functional and production requirements). As a case study, the redesign of a medical assistive device is proposed, previously developed in fused filament fabrication and now optimised for being 3D printed with selective laser melting.
Tipologia CRIS:
Articolo su rivista
Keywords:
design for additive manufacturing; topology optimisation; design variants selection; redesign; design method; selective laser melting; assistive device; design optimisation
Elenco autori:
Dalpadulo, Enrico; Gherardini, Francesco; Pini, Fabio; Leali, Francesco
Autori di Ateneo:
DALPADULO ENRICO
GHERARDINI Francesco
LEALI Francesco
PINI Fabio
Link alla scheda completa:
https://iris.unimore.it/handle/11380/1217827
Link al Full Text:
https://iris.unimore.it//retrieve/handle/11380/1217827/294196/applsci-10-07841.pdf
Pubblicato in:
APPLIED SCIENCES
Journal
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URL

https://www.mdpi.com/2076-3417/10/21/7841
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