This paper presents a statistical methodology to improve the car packaging setup in the first phase of a new mini-car design. An original procedure for comfort assessment using virtual manikins is formulated. The Robust Design approach enables to identify the optimal level for the main design factors of the new car packaging. The optimal solution is the most insensitive to anthropometric variability. The case study of a new mini-car packaging setup is exploited. The experimental results in virtual environment are obtained using the virtual manikin Jack by UGS. On the base of adequate comfort indexes, the proposed methodology allows defining a car packaging which is, on average, more comfortable than that obtainable as initial setting by applying the Enhanced SAE Packaging Guidelines and the Posture Prediction algorithms proposed by the UMTRI (UMI-USA).

Robust design of car packaging in virtual environment

LANZOTTI, ANTONIO
2008

Abstract

This paper presents a statistical methodology to improve the car packaging setup in the first phase of a new mini-car design. An original procedure for comfort assessment using virtual manikins is formulated. The Robust Design approach enables to identify the optimal level for the main design factors of the new car packaging. The optimal solution is the most insensitive to anthropometric variability. The case study of a new mini-car packaging setup is exploited. The experimental results in virtual environment are obtained using the virtual manikin Jack by UGS. On the base of adequate comfort indexes, the proposed methodology allows defining a car packaging which is, on average, more comfortable than that obtainable as initial setting by applying the Enhanced SAE Packaging Guidelines and the Posture Prediction algorithms proposed by the UMTRI (UMI-USA).
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11588/205287
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