Abstract The appearance and exterior precision of passenger cars aesthetics has become an important factor in the automotive industry. During vehicle assembly, the curvature of the roof can change slightly and create cosmetic defects that affect the exterior appearance. The critical factor causing curvature change on the roof is the thermally driven expansion of an elastomer-based mastic sealer which is applied between the exterior roof panel and support rail during the frame assembly process. Therefore the expansion of the mastic sealer was modeled to predict the curvature change in the roof panel. In order to evaluate the causes and predict the curvature change quantitatively, a Finite Element (FE) simulation of the oven heating and mastic curing was performed. Validation of the simulation model was performed by comparing the local deformation and amount of the curvature change on the roof obtained from the actual process. In order to minimize the curvature change, the Taguchi method was used in conjunction with the FE model where a total of eight factors were chosen to perform a sensitivity analysis. In order to exclude the deformation due to residual stress resulting from the oven process, it was selected as a noise factor. Response was taken as the maximum curvature change calculated by a flexural function which was used to distinguish absolute curvature that is not affected by the horizontal or vertical movement of roof panel. A total of 18 cases were analyzed with length of each sealer, pitch of sealer, and rail location being identified as the most influential factors affecting the curvature change. Using the optimum values, the amount of curvature change in the roof panel was reduced by 12 percent.


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    Titel :

    Design process to minimize roof surface defects using a flexural function and Finite Element analysis


    Beteiligte:
    Hwang, S. Y. (Autor:in) / Jeong, H. S. (Autor:in) / Kim, N. (Autor:in) / Domblesky, J. (Autor:in)

    Erschienen in:

    Erscheinungsdatum :

    2016-02-01


    Format / Umfang :

    7 pages




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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