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首页> 美国卫生研究院文献>Sensors (Basel Switzerland) >Cloud-Based Automated Design and Additive Manufacturing: A Usage Data-Enabled Paradigm Shift
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Cloud-Based Automated Design and Additive Manufacturing: A Usage Data-Enabled Paradigm Shift

机译：基于云的自动化设计和增材制造：使用情况启用数据的范式转变

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摘要

Integration of sensors into various kinds of products and machines provides access to in-depth usage information as basis for product optimization. Presently, this large potential for more user-friendly and efficient products is not being realized because (a) sensor integration and thus usage information is not available on a large scale and (b) product optimization requires considerable efforts in terms of manpower and adaptation of production equipment. However, with the advent of cloud-based services and highly flexible additive manufacturing techniques, these obstacles are currently crumbling away at rapid pace. The present study explores the state of the art in gathering and evaluating product usage and life cycle data, additive manufacturing and sensor integration, automated design and cloud-based services in manufacturing. By joining and extrapolating development trends in these areas, it delimits the foundations of a manufacturing concept that will allow continuous and economically viable product optimization on a general, user group or individual user level. This projection is checked against three different application scenarios, each of which stresses different aspects of the underlying holistic concept. The following discussion identifies critical issues and research needs by adopting the relevant stakeholder perspectives.
机译：将传感器集成到各种产品和机器中，可以访问深入的使用信息，作为产品优化的基础。当前，由于（a）传感器集成，因此无法大规模获得使用信息，并且（b）产品优化需要大量人力和适应性方面的努力，因此尚未实现用于更人性化和高效产品的巨大潜力。生产设备。但是，随着基于云的服务和高度灵活的增材制造技术的出现，这些障碍目前正在迅速消失。本研究探索了收集和评估产品使用情况和生命周期数据，增材制造和传感器集成，自动化设计以及制造中基于云的服务的最新技术。通过加入和推断这些领域的发展趋势，它界定了制造概念的基础，该概念将允许在一般，用户组或单个用户级别上进行连续且经济可行的产品优化。针对三种不同的应用场景检查了这一预测，每种应用场景都强调了基础整体概念的不同方面。以下讨论通过采用相关利益相关者的观点来确定关键问题和研究需求。

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