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Development of CFRP racing motorcycle rims using a heuristic evolutionary algorithm approach

机译:使用启发式进化算法方法开发CFRP赛车摩托车轮辋

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The scope of this paper is the application of evolutionary optimization methods to the development of composite fibre reinforced plastics (CFRP) racing motorcycle rims. The mass and the moment of inertia of a front and a rear CFRP rim are minimized subject to manufacturing, strength, and stiffness constraints. The stacking sequence of the composite laminates is optimized by applying a sophisticated parameterization concept making an excellent compromise between a huge variety of structure properties and a reasonable number of optimization parameters. The mechanical properties are simulated using the finite element analysis package ANSYS . Resulting displacement and Tsai–Wu index values are combined with the mass of the rim in order to assign a fitness value to each different design solution. The smart formulation of the fitness function allows the exploration of solutions close to the required strength and stiffness properties. The proprietary software DynOPS is utilized as an optimization engine. It links an evolutionary algorithm to arbitrary simulation programs and controls the entire optimization process. The sophisticated parameterization concept, together with the fitness function formulation, are the basis for the development of CFRP motorcycle rims decisively lighter than state-of-the-art magnesium alloy rims.
机译:本文的范围是将进化优化方法应用于复合纤维增强塑料(CFRP)赛车摩托车轮辋的开发。前CFRP轮缘和后CFRP轮缘的质量和惯性矩在制造,强度和刚度方面受到限制。通过应用复杂的参数化概念,可以在多种结构特性与合理数量的优化参数之间做出出色的折衷,从而优化复合材料层压板的堆叠顺序。使用有限元分析软件包ANSYS对机械性能进行了仿真。产生的位移和Tsai–Wu指数值与轮辋的质量结合在一起,以便为每个不同的设计解决方案分配适应性值。健身功能的智能公式化可以探索接近所需强度和刚度特性的解决方案。专有软件DynOPS被用作优化引擎。它将进化算法链接到任意仿真程序,并控制整个优化过程。复杂的参数化概念以及适应性函数公式化,是开发CFRP摩托车轮辋的基础,它比最先进的镁合金轮辋轻得多。

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