Digitisation of manual composite layup task knowledge using gaming technology
Digitisation of manual composite layup task knowledge using gaming technology
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DOI：
10.1016/j.compositesb.2016.12.050
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发表时间：
2017-03-01
影响因子：
13.1
通讯作者：
Ward, Carwyn
中科院分区：
文献类型：
--
作者：
Prabhu, Vinayak A.;Elkington, Michael;Ward, Carwyn
复合材料产品的市场需求增加和专业层压机的短缺迫使复合材料行业探索从专家那里获得铺层技能并将其传授给新手并最终传授给机器的方法。文献中缺乏捕捉复合材料铺层技能的整体方法，尤其是涉及复杂模具的方法。这项研究旨在开发一种基于信息学的方法，通过消费级游戏技术和机器学习来实现，从技能密集型手工铺层中捕获和数字化制造任务知识。数字化以所提出的人与工件交互理论为基础，并自动提取和解码关键知识成分，例如铺层策略、铺层操纵技术、运动力学和手工铺层过程中的问题解决，统称为铺层技能。这项研究的意义在于它有可能促进从专家到新手的经济高效的技能转移、手工铺层的实时自动监督以及未来铺层任务的自动化。 (C) 2017 年作者。由 Elsevier Ltd 出版。这是一篇基于 CC BY 许可的开放获取文章。
Increased market demand for composite products and shortage of expert laminators is compelling the composite industry to explore ways to acquire layup skills from experts and transfer them to novices and eventually to machines. There is a lack of holistic methods in literature for capturing composite layup skills especially involving complex moulds. This research aims to develop an informatics-based method, enabled by consumer-grade gaming technology and machine learning, to capture and digitise manufacturing task knowledge from skill-intensive hand layup. The digitisation is underpinned by the proposed human-workpiece interaction theory and implemented to automatically extract and decode key knowledge constituents such as layup strategies, ply manipulation techniques, motion mechanics and problem-solving during hand layup, collectively categorised as layup skills. The significance of this research is its potential to facilitate cost-effective transfer of skills from experts to novices, real-time automated supervision of hand layup and automation of layup tasks in the future. (C) 2017 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY license.