Tanja Emilie Henriksen, T. Brustad, Rune Dalmo, Aleksander Pedersen
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引用次数: 0
摘要
快速成型制造(AM)是一个同时具有工业和学术意义的领域。多年来,计算机辅助优化技术为这一领域带来了进步,但挑战和需要改进的地方依然存在。设计到执行的误差、空洞的形成、材料的各向异性和表面质量都是仍然存在的挑战。这些挑战可以通过一些趋势性的优化主题得到改善,如人工智能(AI)和机器学习(ML);STL 修正、替换或移除;切片算法和模拟。本文回顾了 AM 及其历史,特别关注印刷过程以及如何使用计算机软件对其进行优化。最重要的新贡献是调查了当前与现行优化主题相关的挑战。这可以视为未来研究的基础。此外,我们还提出了如何改进某些难题的建议,并展示了这些变化对印刷工艺的影响。
Computer-Aided Optimisation in Additive Manufacturing Processes: A State of the Art Survey
Additive manufacturing (AM) is a field with both industrial and academic significance. Computer-aided optimisation has brought advances to this field over the years, but challenges and areas of improvement still remain. Design to execution inaccuracies, void formation, material anisotropy, and surface quality are examples of remaining challenges. These challenges can be improved via some of the trending optimisation topics, such as artificial intelligence (AI) and machine learning (ML); STL correction, replacement, or removal; slicing algorithms; and simulations. This paper reviews AM and its history with a special focus on the printing process and how it can be optimised using computer software. The most important new contribution is a survey of the present challenges connected with the prevailing optimisation topics. This can be seen as a foundation for future research. In addition, we suggest how certain challenges can be improved and show how such changes affect the printing process.