模块化设计
稳健性(进化)
激光扫描
扫描仪
过程控制
3D打印
大规模定制
过程(计算)
挤压
三角测量
机械工程
计算机科学
工程类
工程制图
工艺工程
激光器
材料科学
人工智能
个性化
操作系统
化学
冶金
基因
万维网
地理
物理
地图学
生物化学
光学
作者
Matthias G.R. Faes,Wim Abbeloos,Frederik Vogeler,Hans Valkenaers,Kurt Coppens,Toon Goedemé,Eleonora Ferraris
出处
期刊:Cornell University - arXiv
日期:2014-09-01
卷期号:6: 363-367
被引量:31
摘要
Extrusion based 3D Printing (E3DP) is an Additive Manufacturing (AM) technique that extrudes thermoplastic polymer in order to build up components using a layerwise approach. Hereby, AM typically requires long production times in comparison to mass production processes such as Injection Molding. Failures during the AM process are often only noticed after build completion and frequently lead to part rejection because of dimensional inaccuracy or lack of mechanical performance, resulting in an important loss of time and material. A solution to improve the accuracy and robustness of a manufacturing technology is the integration of sensors to monitor and control process state-variables online. In this way, errors can be rapidly detected and possibly compensated at an early stage. To achieve this, we integrated a modular 2D laser triangulation scanner into an E3DP machine and analyzed feedback signals. A 2D laser triangulation scanner was selected here owing to the very compact size, achievable accuracy and the possibility of capturing geometrical 3D data. Thus, our implemented system is able to provide both quantitative and qualitative information. Also, in this work, first steps towards the development of a quality control loop for E3DP processes are presented and opportunities are discussed.
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