Dynamic Modeling and Monitoring of Contour Crafting—An Extrusion-Based Layered Manufacturing Process
Dynamic Modeling and Monitoring of Contour Crafting—An Extrusion-Based Layered Manufacturing Process
复制标题
轮廓加工的动态建模和监控——基于挤压的分层制造工艺
DOI：
10.1115/1.2375137
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发表时间：
2007
影响因子：
4
通讯作者：
Ben Clark
中科院分区：
文献类型：
--
作者：
S. Bukkapatnam;Ben Clark
分层制造（LM）工艺已经成为制造各种精密微电子元件和生物植入物的合法工艺。这些过程也被考虑用于制造大型定制的自由形式，如建筑物，雕像，反应堆床和车身。这些应用中的许多要求高水平的质量（例如，Ra <0.1 μm）和功能性能。在LM工艺中，基于挤出的工艺可以潜在地提供高生产率以及较低的设置和操作成本。然而，由异常引起的过程故障，例如喷嘴堵塞、溢流、动态不稳定性、堵塞和机器退化阻碍了这些过程的广泛应用。将这些异常的来源与过程动态联系起来的科学原理对于有效的质量监控似乎是必要的。在本文中，我们提出了一个非线性集中质量模型来捕捉动态轮廓工艺，这是一个基于挤出的LM过程。两个自由度的模型，开发的基础上，实验表征，捕捉过程动态的显着特点，包括过程非线性的突出表现。实验研究表明，该模型可以导致有效的监测过程条件，包括溢出和下溢的材料从挤出喷嘴，以及次优（快和慢）的进料速率的挤出头。
Layered manufacturing (LM) processes have emerged as legitimate processes for manufacturing various precision microelectronic components and bio-implants. These processes are also being considered for fabricating large customized free forms like buildings, statues, reactor beds, and car bodies. Many of these applications demand high levels of quality (e.g., R a <0.1 μm) and functional performance. Among the LM processes, extrusion-based processes can potentially offer high production rates together with lower setup and operating costs. Yet process failures resulting from anomalies, such as nozzle clogging, overflow, dynamic instabilities, bambooing, and machine degradation impede a widespread applicability of these processes. Scientific principles that relate the sources of these anomalies to process dynamics seem necessary for effective quality monitoring. In this paper we present a nonlinear lumped-mass model to capture dynamics underlying contour crafting, which is an extrusion-based LM process. The two degrees-of-freedom model, developed based on experimental characterizations, captures salient features of the process dynamics including the prominent manifestations of process nonlinearity. Experimental investigations show that the model can lead to effective monitoring of process conditions including overflow and underflow of material from extrusion nozzle, as well as suboptimal (fast and slow) feed rates of the extrusion head.