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首页> 外文期刊>Communications in numerical methods in engineering >A generally suited method to get initial guess solutions for one-step and multi-step simulations of tube and profile forming based on parameterization
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A generally suited method to get initial guess solutions for one-step and multi-step simulations of tube and profile forming based on parameterization

机译:一种普遍适用的方法,用于基于参数化的管材和型材成形单步和多步模拟获取初始猜测解

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摘要

In one-step and multi-step simulations, how to get initial guess solutions effectively is a key point, which has gained great attention during the past decades. However, most of the achievements have been targeted at sheet metal forming, rarely at tube or profile forming, which hinders the applications of one-and multi-step approach to tube and profile forming. A new method, based on the parameterization in computer graphics, is presented in this paper, in which a sort of parameterized computation defined in the cylindrical coordinate system is utilized to produce initial guess solution for initial configuration, and a simple but effective geometric algorithm on the basis of the parameterization is proposed for intermediate configuration. Different from the original plane parameterization, the parameterized computation in this method is to map mesh onto initial straight tube or profile surface instead of plane. The method is highly efficient since only one set of large sparse linear equations needs to be solved in the parameterized computation and the geometric algorithm for intermediate configuration is also fast in mesh-mapping. In order to verify the validity and efficiency of the presented method, several numerical examples are provided and the obtained initial guess meshes are satisfactory.
机译:在单步和多步仿真中,如何有效地获得初始猜测解是关键点,在过去的几十年中,这一点引起了极大的关注。但是,大多数成就都针对钣金成形,很少涉及管材或型材成形,这阻碍了单步和多步方法在管材和型材成形中的应用。提出了一种基于计算机图形学中参数化的新方法,该方法利用圆柱坐标系中定义的一种参数化计算产生初始配置的初始猜测解,以及一种简单但有效的几何算法。提出了用于中间配置的参数化基础。与原始平面参数化不同,此方法中的参数化计算是将网格映射到初始直管或轮廓曲面而不是平面。该方法非常高效,因为在参数化计算中只需要解决一组大型的稀疏线性方程组,并且用于中间配置的几何算法在网格映射中也很快。为了验证所提方法的有效性和有效性,提供了几个数值例子,所获得的初始猜测网格是令人满意的。

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