结合熵权TOPSIS的FDM成型工艺参数多目标优化研究

陆星宇; 樊黎霞; 丁骁垚

doi:10.13433/j.cnki.1003-8728.2017.1113

结合熵权TOPSIS的FDM成型工艺参数多目标优化研究

doi: 10.13433/j.cnki.1003-8728.2017.1113

1.
南京理工大学机械工程学院, 南京 210094

详细信息

作者简介:
陆星宇(1993-),硕士研究生,研究方向为增材制造技术,特殊材料3D打印,luxingyu121@126.com

通讯作者:
樊黎霞(联系人),教授,博士,fanlixia151@126.com

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- 文章访问数: 167
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- PDF下载量: 10
- 被引次数: 0
出版历程
- 收稿日期: 2016-06-08
- 刊出日期: 2017-11-05

Multi Objective Optimization of Processing Parameters in FDM based on Entropy-weight TOPSIS Model

1.
School of Mechanical Engineering, Nanjing University of Science and Technology, Nanjing 210094, China

摘要

摘要: 针对熔融沉积成型试件的长度偏差率、宽度偏差率、孔隙率这3个目标，选择挤出速度（A）、填充速度（B）、分层厚度（C）和填充方式（D）作为控制因子，通过正交试验确定了各控制因子及因子间交互作用对单个目标的影响程度，并基于熵权TOPSIS模型对试验结果进行综合评价，以相对贴近度作为综合工艺目标，结合极差分析和方差分析，确定了各控制因子及因子间交互作用对综合工艺目标的影响程度，得出了最佳工艺参数组合方案，同时对优化方案进行了试验验证。结果表明，填充方式、填充速度以及挤出速度与填充速度的交互作用对综合工艺目标有较强的影响，最优工艺参数组合方案为A1B3C1D1，且优化方案在综合工艺目标上提升了2.25%。
- 熔融沉积成型 /
- 正交试验 /
- 熵权TOPSIS模型 /
- 多目标优化
Abstract: The extrusion velocity(A), filling velocity(B), layer thickness(C) and filling pattern(D) are selected as the controlling factors in fused deposition modeling（FDM). Firstly, the influencing degree of the process parameters on the single index such as length deviation rate, width deviation rate and porosity is determined by orthogonal experiment, considering the interaction between the controlling factors. Then the experimental results are comprehensive evaluated based on the entropy-weight technique for order preference by similarity to an ideal solution（TOPSIS) model and the relative closeness is used as the comprehensive index. Combining the range analysis and variance analysis, the influencing degree of the process parameters on the comprehensive index and the optimal combination of processing parameters is determined. The experiment results show that the filling pattern, filling velocity, the interaction between extrusion velocity and filling velocity, has a strong influence on comprehensive index, and the optimal combination of the processing parameters is A1B3C1D1. Besides, a verification test is carried out and shows that the optimization scheme of the comprehensive index is improved by 2.25%.
- fused deposition modeling /
- orthogonal experiment /
- entropy-weight TOPSIS model /
- multi objective optimization

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参考文献(15)

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