The study presents a new method based on generative design and multicriteria analysis to select the best design option accounting for engineering performance, economic feasibility and other design goals (e.g. novelty, compliance). A comparison between topology optimization and generative design is proposed and discussed. The method is applied to the design of a rocker for racing cars.
A Multi-Criteria Analysis Method in Algorithm-Driven Design / Agostinelli, T.; Ceccacci, S.; Generosi, A.; Giancamilli, G.; Mengoni, M.. - (2025), pp. 67-74. ( 4th International Conference on Design Tools and Methods in Industrial Engineering, ADM 2024 Palermo, Italy 11 - 13 September 2024) [10.1007/978-3-031-76597-1_8].
A Multi-Criteria Analysis Method in Algorithm-Driven Design
Agostinelli T.Primo
;Ceccacci S.;Generosi A.;Giancamilli G.;Mengoni M.
Ultimo
2025-01-01
Abstract
The study presents a new method based on generative design and multicriteria analysis to select the best design option accounting for engineering performance, economic feasibility and other design goals (e.g. novelty, compliance). A comparison between topology optimization and generative design is proposed and discussed. The method is applied to the design of a rocker for racing cars.| File | Dimensione | Formato | |
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Multicriteria.pdf
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Multi-Criteria_postprint.pdf
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