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Publications (2)1.73 Total impact

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    ABSTRACT: Weight reduction is a major issue for carmaker companies due the need to comply with the emission regulations without reducing the vehicle safety. A classic trial-and-error approach to design in the automotive industry is becoming inadequate and new means are needed to enhance the design process. A major improvement on the end product can be achieved by adopting suitable optimization techniques from the early design stage. In the present paper the problem of automotive chassis design in view of weight reduction is tackled by means of topology optimization. The design methodology proposed is applied twice: at first addressing a chassis for spider vehicles, then for coupé vehicles. The two chassis, together with some intermediate result are discussed and compared. The methodology has been proven to be successful in finding innovative and efficient layouts for automotive chassis.
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    ABSTRACT: Automotive chassis design in view of car weight reduction is a challenging task due to the many performance targets that must be satisfied, in particular in terms of vehicle safety. In this paper a methodology for automotive chassis design in involving optimization techniques is presented. In particular, topology, topometry and size optimizations are coupled with fem analyses and adopted in cascade for reaching an optimum chassis configuration. The methodology is applied to the design process of a rear-central engine high performance vehicle chassis. The objective of the optimization process is the chassis weight reduction, yet in fulfilment of structural performance constraints as required by Ferrari standards. The results demonstrate the general applicability of the methodology presented for obtaining the general trusses layout and thicknesses distribution of the structure. The numerical model at this stage shows a significant weight reduction when compared to the chassis of the Ferrari F458 Italia. KeywordsAutomotive chassis design–Multidisciplinary optimization–Topology optimization–Structural dynamics
    Structural and Multidisciplinary Optimization 44(1):45-56. · 1.73 Impact Factor