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首页> 外文会议>EAEC European automotive congress >Determining the material parameters of a polyurethane foam with a differential ant-stigmergy algorithm
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Determining the material parameters of a polyurethane foam with a differential ant-stigmergy algorithm

机译：用差分蚂蚁级算法确定聚氨酯泡沫的材料参数

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In the event of a crash involving a motor vehicle, a car seat with its backrest and head support can increase the level of passenger safety. However, the filling material used in the seat and the head support should absorb a large proportion of the kinetic energy associated with the moving passenger during the crash. This filling material is usually made of polyurethane foam. To simulate the behaviour of the seat assembly during a crash the material characteristics of the seat-filling foam should be appropriately modelled. For this purpose, a low-density-foam material model was developed for the finite element analysis. The paper will present an innovative method for estimating the parameters of the low-density-foam material model that is based on a differential ant-stigmergy algorithm. First the differential ant-stigmergy algorithm will be described, which will be followed by its application on the real case. The results will be discussed and the field of application will be presented.
机译：如果发生涉及机动车辆的撞车，则具有靠背和头部支撑的汽车座椅可以提高乘客安全的水平。然而，座椅和头部支撑件中使用的填充材料应在碰撞期间吸收与移动乘客相关联的大部分动能。这种填充材料通常由聚氨酯泡沫制成。为了在碰撞过程中模拟座椅组件的行为，应适当地建模座椅填充泡沫的材料特性。为此目的，为有限元分析开发了低密度 - 泡沫材料模型。本文将介绍一种估计基于差分蚂蚁解放算法的低密度泡沫材料模型参数的创新方法。首先将描述差分蚂蚁耻辱算法，后面将在实际情况下进行其应用。将讨论结果，并展示申请领域。

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