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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 may be used to predict characteristics of a multiple ply layered composite as a condition of one or more continuous variables and/or one or more binary variables. For example, the global optimization tool may predict characteristics of a composite for a large range of fiber orientation angles of each of layer of the ply. The optimization tool may include solving a mixed integer nonlinear programming (MINLP) model to obtain a multiple ply layered composite design that is optimized relative to objectives, such as areal weight and cost. Thus, the global optimization tool may be able to identify composite designs with lower areal weight and/or lower cost than the composite designs identified by prior art trial and error methods or heuristic algorithms. When a composite design is identified as meeting certain criteria that are input to the global optimization tool, that composite design may be manufactured.
机译:全局优化工具可以被用来作为一个或多个连续变量和/或一个或多个二元变量的条件来预测多层复合材料的特性。例如,全局优化工具可以针对帘布层的每一层的大范围的纤维取向角预测复合材料的特性。优化工具可以包括求解混合整数非线性规划(MINLP)模型以获得相对于目标(例如面积重量和成本)进行优化的多层复合设计。因此,与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相比,全局优化工具可能能够以更低的面积重量和/或更低的成本来识别复合设计。当复合设计被标识为满足输入到全局优化工具的某些标准时,可以制造该复合设计。

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