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The Future of Optimal Design Computations Is Democratized and Cross-Disciplinary

机译:最佳设计计算的未来已实现民主化和跨学科

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摘要

THE NEVER-ENDING struggle to fit more components in a limited space while keeping costs at a minimum poses a great optimal design challenge for future design engineering teams. Miniaturization in consumer electronics, for example, easily leads to overheating and efforts to reduce weight may lead to compromised structural integrity. These contradictory requirements result in difficult optimization problems that require a cross-disciplinary approach involving many different types of coupled physics. Consumer electronics is one of many technology areas that require a multi-physics approach to achieve future design goals and competitiveness. Just think of smartphones and the quest for lighter batteries that can both be charged quickly and last long enough on one charge to meet consumer expectations. Other examples include wireless sensors for internet of things (IoT) applications, motors for electrical vehicles, and more.
机译:在有限的空间内安装更多组件同时将成本保持在最低水平的无休止的努力,对未来的设计工程团队提出了巨大的最佳设计挑战。例如,消费类电子产品的小型化容易导致过热,而减轻重量的努力可能导致结构完整性受损。这些矛盾的要求导致了困难的优化问题,这需要涉及许多不同类型的耦合物理的跨学科方法。消费电子产品是许多技术领域之一,需要采用多物理场方法来实现未来的设计目标和竞争力。试想一下智能手机,以及对更轻便的电池的追求,这种电池既可以快速充电,又一次充电即可持续足够长的时间,以满足消费者的期望。其他示例包括用于物联网(IoT)应用的无线传感器,用于电动汽车的电机等。

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