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Data model for additive manufacturing digital thread: state of the art and perspectives

机译:添加剂制造数字线程数据模型:艺术状态和观点

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摘要

Additive Manufacturing (AM) is currently seen as an interesting process for the fabrication of complex and high value-added functional products. AM is being increasingly used in manufacturing bringing forward technological advancements particularly in materials and process optimisations. Simultaneously, the lifecycle of manufactured products is increasingly based on an 'all-digital' context using cyber-physical systems, the Internet of Things and Industry 4.0 devices. This has led to huge amounts of digital data being generated in manufacturing projects development. Data management is one of the key issues for diffusing and adopting this technology. However, the commonly used digital thread for AM is based on old solutions, such as STL and G-code, which were developed during the 1980s and are not well synchronised with current advanced developments in AM. Moreover, digital thread needs to be contextualised according to the complexities of the sector in which it is being used. Hence, alternative formats should also take into account global and sectorial application. This paper presents the past and current research for a state-of-the-art data model digital thread, as well as perspectives and recommendations for a performing data model thread adapted to the different needs of the AM community.
机译:添加剂制造(AM)目前被视为制造复杂和高附加值的官能产品的有趣过程。我越来越多地用于制造业,尤其是在材料和过程优化中提出技术进步。同时,制造产品的生命周期越来越多地基于使用网络 - 物理系统的“全数字”的背景,物理系统,事物和行业4.0设备。这导致了在制造项目开发中产生了大量的数字数据。数据管理是扩散和采用此技术的关键问题之一。但是,AM的常用数字线程是基于旧解决方案,例如STL和G代码,该代码是在20世纪80年代开发的,并且与AM目前的高级开发并不顺利。此外,需要根据所使用的扇区的复杂性来上下文中内容。因此,替代格式也应该考虑到全局和扇形应用程序。本文介绍了过去最先进的数据模型数字线程的过去和目前研究,以及对执行数据模型线程的透视和建议,适用于AM社区的不同需求。

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