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Development of a Tool for Elasto-Kinematic Suspension Optimization: Application to Double Wishbone and Semi-Virtual Archetypes

Michele Dimalta

Development of a Tool for Elasto-Kinematic Suspension Optimization: Application to Double Wishbone and Semi-Virtual Archetypes.

Rel. Alessandro Vigliani, Angelo Domenico Vella, Attilio Minneci. Politecnico di Torino, Corso di laurea magistrale in Automotive Engineering (Ingegneria Dell'Autoveicolo), 2024

Abstract:

The thesis has been prepared in cooperation with Danisi Engineering S.r.l., which is an industry-leading company in the automotive industry, specializing in engineering solutions and prototype development for this sector. The present research proposes a new tool that can optimize elasto-kinematic behavior for suspension systems. State-of-the-art optimization methodologies are reviewed in the present paper, including Evolutionary, Heuristic, Multi-Strategy, and Gradient-Based algorithms. The tool exploits two of the most used algorithms: NSGA-II and MOPSO. Both algorithms have been coupled within the MATLAB-Adams environment in order to ensure easier data exchange. In the methodology, much importance is given to the selection and fine-tuning of these algorithms aiming to produce better performances. Its versatility has already been demonstrated by running it on quite a different suspension archetype-such as Double Wishbone systems with and without pushrod and even a Semi-Virtual configuration-including a company project. Among the Suspension Kinematics and Compliance key parameters of interest to be analyzed in-depth, the toe, camber, spin, kingpin, and caster angles are included. To complement this, an easy-to-use GUI has been developed which has eased the optimization procedure of this tool and has made it quite user-friendly for the engineers operating heavy suspension designs.

Relators: Alessandro Vigliani, Angelo Domenico Vella, Attilio Minneci
Academic year: 2024/25
Publication type: Electronic
Number of Pages: 130
Additional Information: Tesi secretata. Fulltext non presente
Subjects:
Corso di laurea: Corso di laurea magistrale in Automotive Engineering (Ingegneria Dell'Autoveicolo)
Classe di laurea: New organization > Master science > LM-33 - MECHANICAL ENGINEERING
Aziende collaboratrici: DANISI ENGINEERING S.R.L.
URI: http://webthesis.biblio.polito.it/id/eprint/32758
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