Feature-based process parameter variation in continuous paths to improve dimensional accuracy in three-dimensional printing via material extrusion
Feature-based process parameter variation in continuous paths to improve dimensional accuracy in three-dimensional printing via material extrusion
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DOI：
10.1177/0954405419838361
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发表时间：
2019-10-01
期刊：
影响因子：
2.6
通讯作者：
Vosniakos, George-Christopher
中科院分区：
文献类型：
--
作者：
Papazetis, George;Vosniakos, George-Christopher
增材制造中的尺寸精度，特别是通过材料挤出生产的部件的尺寸精度已经被积极研究，以努力从原型制作过程进行到能够制造功能部件的成熟技术。通常，材料挤出的精度沿不同的打印方向沿着是不相同的，或者它可以根据所制造的几何特征而变化。因此，它被认为是一个具有多个响应的问题，通常采用多目标优化策略来解决，以实现同时满足矛盾要求的最佳参数设置。在这项工作中，响应面方法应用于部分，以获得预测尺寸精度的特定功能的模型。根据所提出的方法，在每个包括的特征和沿着不同的印刷方向的尺寸精度分别优化与增强的灵活性，关于导出的最佳解决方案。最佳设置作为修改后的机器指令直接输入到材料挤出系统。验证了同一层不同区域的不同参数设置，甚至沿沿着连续轨迹改变材料挤出速率和进给速率。特定零件用于演示目的。这种新方法的效率进行了比较，多目标优化的基础上的愿望方法。结果表明，当对每个特征进行自适应设置时，零件的尺寸精度得到了提高。
Dimensional accuracy in additive manufacturing and especially for parts produced via material extrusion has been actively investigated in an effort to proceed from a prototyping process to a mature technology capable of manufacturing functional parts. Typically, accuracy in material extrusion is not the same along the different printing directions or it may vary according to the geometric feature that is fabricated. Therefore, it is considered as a problem with multiple responses and is typically tackled with multiple-objective optimization strategies in order to achieve optimal parameter settings that simultaneously satisfy contradicting requirements. In this work, response surface methodology is applied on the part, in order to obtain feature-specific models that predict dimensional accuracy. According to the proposed methodology, dimensional accuracy on every included feature and along the different printing directions is separately optimized with enhanced flexibility regarding the derived optimal solution. Optimal settings are fed directly to the material extrusion system as modified machine instructions. Different parameter settings for different regions of the same layer, or even varying material extrusion rate and feed rate along continuous trajectory, are validated. A specific part is used for demonstration purposes. The efficiency of this novel approach is compared with multiple-objective optimization based on the desirability method. The results exhibit enhanced dimensional accuracy of the part when adaptive settings are adopted for every feature.