Hybrid FFF/CNC: An open source hardware & software system

IF 4.6 Q2 MATERIALS SCIENCE, BIOMATERIALS ACS Applied Bio Materials Pub Date : 2024-06-01 DOI:10.1016/j.ohx.2024.e00536
Luis Vincent Tejada Martinez, Jean-François Witz, Denis Najjar, Xavier Boidin, François Lesaffre, Vincent Martin, Sophie Badin, Emmanuel Berte
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Abstract

This paper presents a low-cost milling system composed of spindle mountable on a multi tool 3D printer equipped with maxwell kinematic coupling (E3D “ToolChanger” in this article) as well as two open-source software solutions for implementing a hybrid FFF/CNC manufacturing process. The first solution is the use of a traditional CAM software (FreeCad) for machining programming through the development of a dedicated post-processor. The second is an automatic layer-by-layer hybridization enabled by the software “SuperSlicer”. This method requires no machining knowledge but only allows contouring operations. Results of experiments show that the spindle presented in this work is capable of successfully carrying out a hybrid process that significantly improves the surface roughness parameters, with an improvement factor of 10 for most parameters. An uniformization of surface roughness parameters was also observed in the construction direction and in the deposition/machining direction. The layer-by-layer hybridization yields the better results in terms of surface roughness. This is because the reduced depth of cut (equivalent to a printed layer) minimizes stress and temperature rise, resulting in highly favorable cutting conditions.

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混合 FFF/CNC:开源硬件和软件系统
本文介绍了一种低成本铣削系统,该系统由可安装在配有 maxwell 运动耦合器(本文中为 E3D "ToolChanger")的多工具 3D 打印机上的主轴以及两个开源软件解决方案组成,用于实施 FFF/CNC 混合制造流程。第一个解决方案是通过开发专用后处理器,使用传统 CAM 软件(FreeCad)进行加工编程。第二种是通过软件 "SuperSlicer "实现自动逐层混合。这种方法不需要任何加工知识,但只允许进行轮廓加工。实验结果表明,这项工作中提出的主轴能够成功执行混合工艺,显著改善表面粗糙度参数,大多数参数的改善系数达到 10。在构造方向和沉积/加工方向上也观察到了表面粗糙度参数的均匀化。就表面粗糙度而言,逐层杂化产生了更好的结果。这是因为减小了切削深度(相当于印刷层),最大限度地减少了应力和温升,从而获得了非常有利的切削条件。
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来源期刊
ACS Applied Bio Materials
ACS Applied Bio Materials Chemistry-Chemistry (all)
CiteScore
9.40
自引率
2.10%
发文量
464
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