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Multi-ply laminated composites with low unit area weight

机译:低单位面积重量的多层层压复合材料

摘要

A global optimization tool can be used to predict the properties of a multi-ply laminated composite as the state of one or more continuous variables and / or one or more binary variables. For example, a global optimization tool may predict composite properties for a large range of fiber orientation angles for each layer of ply. The optimization tool can include solving a mixed integer nonlinear programming problem (MINLP) model to obtain a multi-ply laminated composite design that is optimized for objectives such as unit area weight and cost. Thus, a global optimization tool can identify composite designs that have a lower unit area weight and / or cost than composite designs identified by prior art trial and error methods or heuristic algorithms. obtain. Once a composite design is identified as meeting certain criteria input to a global optimization tool, the composite design can be manufactured.
机译:全局优化工具可用于预测多层层压复合材料的特性,作为一个或多个连续变量和/或一个或多个二元变量的状态。例如,全局优化工具可以针对每个层片的纤维取向角的大范围预测复合材料的特性。该优化工具可以包括求解混合整数非线性规划问题(MINLP)模型以获得针对诸如单位面积重量和成本之类的目标进行优化的多层层压复合设计。因此,全局优化工具可以识别比通过现有技术反复试验方法或启发式算法识别的复合设计具有更低的单位面积重量和/或成本的复合设计。获得。一旦确定复合设计满足输入到全局优化工具的某些标准,就可以制造复合设计。

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