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熔丝制造中用于参数发现的在线测量

Online Measurement for Parameter Discovery in Fused Filament Fabrication.

作者信息

Read Jake Robert, Seppala Jonathan E, Tourlomousis Filippos, Warren James A, Bakker Nicole, Gershenfeld Neil

机构信息

Center for Bits and Atoms, Massachusetts Institute of Technology, Cambridge, MA 02143 USA.

Materials Science and Engineering Division, National Institute of Standards and Technology, Gaithersburg, MD 20899 USA.

出版信息

Integr Mater Manuf Innov. 2024;13(2):541-554. doi: 10.1007/s40192-024-00350-w. Epub 2024 Apr 3.

Abstract

To describe a new method for the automatic generation of process parameters for fused filament fabrication (FFF) across varying machines and materials. We use an instrumented extruder to fit a function that maps nozzle pressures across varying flow rates and temperatures for a given machine and material configuration. We then develop a method to extract real parameters for flow rate and temperature using relative pressures and temperature offsets. Our method allows us to successfully find process parameters, using one set of input parameters, across all of the machine and material configurations that we tested, even in materials that we had never printed before. Rather than using direct parameters in FFF printing, which is time-consuming to tune and modify, it is possible to deploy machine-generated data that captures the fundamental phenomenology of FFF to automatically select parameters.

摘要

描述一种针对不同机器和材料自动生成熔丝制造(FFF)工艺参数的新方法。我们使用一台仪器化挤出机来拟合一个函数,该函数可映射给定机器和材料配置下不同流速和温度时的喷嘴压力。然后,我们开发了一种利用相对压力和温度偏移来提取流速和温度实际参数的方法。我们的方法使我们能够使用一组输入参数,在所有测试的机器和材料配置中成功找到工艺参数,即使是在我们从未打印过的材料上。在FFF打印中,不用耗时调整和修改直接参数,而是可以部署捕获FFF基本现象学的机器生成数据来自动选择参数。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f771/11636983/abcb9ca918bb/40192_2024_350_Fig1_HTML.jpg

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