Topological optimization and generative design are methodologies that can reduce the weight of aerospace and automotive components without worsening stiffness, strength, or natural frequency. The obtained shapes are typically based on complex geometries and can hardly be obtained using traditional working processes, such as chip removal machining; additive manufacturing technologies should be used instead. Several commercial tools are available to design lightweight structures, providing different results when optimization is performed to reduce mass while preserving stiffness or strength. In this paper, a case study is shown to support the wide variety of shapes that can be obtained, and an interview among experts in the field has been carried out to understand the motivations underlying the preference for an optimized model over another one. Those comments can be helpful for software developers to match the users’ requests better and develop the new generation of CAD systems capable of handling lightweight complex shapes.

A Benchmarking Analysis of Commercial Software for Topology Optimization in Industrial Applications / Ceruti, A., Mantovani, S., Giacalone, M.. - (2026), pp. 414-422. (21st Global Conference on Sustainable Manufacturing, GCSM 2025 ita 2025) [10.1007/978-3-032-21157-6_46].

A Benchmarking Analysis of Commercial Software for Topology Optimization in Industrial Applications

Ceruti, Alessandro;Mantovani, Sara;Giacalone, Mauro
2026

Abstract

Topological optimization and generative design are methodologies that can reduce the weight of aerospace and automotive components without worsening stiffness, strength, or natural frequency. The obtained shapes are typically based on complex geometries and can hardly be obtained using traditional working processes, such as chip removal machining; additive manufacturing technologies should be used instead. Several commercial tools are available to design lightweight structures, providing different results when optimization is performed to reduce mass while preserving stiffness or strength. In this paper, a case study is shown to support the wide variety of shapes that can be obtained, and an interview among experts in the field has been carried out to understand the motivations underlying the preference for an optimized model over another one. Those comments can be helpful for software developers to match the users’ requests better and develop the new generation of CAD systems capable of handling lightweight complex shapes.
2026
no
Inglese
21st Global Conference on Sustainable Manufacturing, GCSM 2025
ita
2025
Lecture Notes in Mechanical Engineering
414
422
9783032211569
9783032211576
Springer Science and Business Media Deutschland GmbH
Additive Manufacturing; Aerospace; Automotive; FE analysis; Lightweight Structures
Ceruti, Alessandro; Mantovani, Sara; Giacalone, Mauro
Atti di CONVEGNO::Relazione in Atti di Convegno
273
3
A Benchmarking Analysis of Commercial Software for Topology Optimization in Industrial Applications / Ceruti, A., Mantovani, S., Giacalone, M.. - (2026), pp. 414-422. (21st Global Conference on Sustainable Manufacturing, GCSM 2025 ita 2025) [10.1007/978-3-032-21157-6_46].
open
info:eu-repo/semantics/conferenceObject
   Green Optimizations by Additive-manufactured Lightweight Structures
   GOALS
   Ministero dell'Università e della Ricerca
   20228PFA89
File in questo prodotto:
File Dimensione Formato  
unpaywall-bitstream--1063443540.pdf

Open access

Tipologia: VOR - Versione pubblicata dall'editore
Licenza: [IR] creative-commons
Dimensione 1.92 MB
Formato Adobe PDF
1.92 MB Adobe PDF Visualizza/Apri
Pubblicazioni consigliate

Licenza Creative Commons
I metadati presenti in IRIS UNIMORE sono rilasciati con licenza Creative Commons CC0 1.0 Universal, mentre i file delle pubblicazioni sono rilasciati con licenza Attribuzione 4.0 Internazionale (CC BY 4.0), salvo diversa indicazione.
In caso di violazione di copyright, contattare Supporto Iris

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11380/1412688
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 0
  • ???jsp.display-item.citation.isi??? ND
  • OpenAlex ND
social impact