基于RSM-RVEA的FDM增材制造工艺参数优化方法

doi:10.3901/JME.2024.19.277

机械工程学报 ›› 2024, Vol. 60 ›› Issue (19): 277-297.doi: 10.3901/JME.2024.19.277

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基于RSM-RVEA的FDM增材制造工艺参数优化方法

赵欣¹, 黄金杰^1,2,3

1. 哈尔滨理工大学计算机科学与技术学院哈尔滨 150080;
2. 哈尔滨理工大学自动化学院哈尔滨 150080;
3. 哈尔滨理工大学黑龙江省复杂智能系统与集成重点实验室哈尔滨 150080

收稿日期:2023-10-24 修回日期:2024-03-22 出版日期:2024-10-05 发布日期:2024-11-27
作者简介:赵欣,男,1993年出生,博士研究生。主要研究方向为先进制造、机器人学和计算机图形学。E-mail:zhaoxin5002@163.com;黄金杰(通信作者),男,1967年出生,博士,教授,博士研究生导师。主要研究方向为先进制造、计算机图形学和人工智能技术。E-mail:jjhuangps@163.com
基金资助:
国家自然科学基金(61305001)和黑龙江省自然科学基金(F201222)资助项目。

Optimization Methodology for Additive Manufacturing Parameter by Fused Deposition Modeling (FDM) Based on RSM-RVEA

ZHAO Xin¹, HUANG Jinjie^1,2,3

1. School of Computer Science and Technology, Harbin University of Science and Technology, Harbin 150080;
2. School of Automation, Harbin University of Science and Technology, Harbin 150080;
3. Heilongjiang Provincial Key Laboratory of Complex Intelligent System and Integration, Harbin University of Science and Technology, Harbin 150080

Received:2023-10-24 Revised:2024-03-22 Online:2024-10-05 Published:2024-11-27

摘要/Abstract

摘要： 与传统制造生产的效率相比，当前的3D打印生产效率仍相对较低。因此，如何优化工艺参数，以提升打印件性能、缩短打印时间和减少材料成本，对于提升制造效率来说至关重要。针对这一问题，借鉴传统多目标问题优化方法并结合数值分析，给出一种面向熔融沉积制造(Fused deposition modeling，FDM)的工艺参数优化方法。具体来说，该方法通过响应面法来引导和减少数值分析次数，所得到的回归方程采用基于参考向量引导的进化算法(Reference vector guided evolutionary algorithm，RVEA)来寻找工艺参数的Pareto最优解。同时引入角度惩罚技术，使得该方法在进化初期注重收敛性，在进化末期注重多样性，有效地提高了迭代计算的平衡性。相较于其他工艺参数优化方法，本方法能够更好地提升打印效率并降低制造成本，且具有较好的可靠性。

关键词: 熔融沉积成型, 参数优化, 有限元分析, 3D打印

Abstract: Compared to the efficiency of traditional manufacturing, the production efficiency of current 3D printing is still relatively low.Therefore, it is crucial that process parameters are optimized to enhance the performance of printed parts, shorten printing time, and reduce material costs, in order to lower printing costs.Addressing this issue, an optimization method for process parameters in fused deposition modeling (FDM) is proposed, drawing from traditional multi-objective optimization approaches and incorporating numerical analysis.Specifically, the Response Surface Methodology is used by this method to guide and reduce the number of numerical analyses.The regression equation that is obtained employs the reference vector guided evolutionary algorithm (RVEA) to find the Pareto optimal solutions for process parameters.Additionally, an angle penalty technique is introduced, focusing on convergence in the early stages of evolution and on diversity in the later stages, effectively balancing the iterative calculations.Upon comparison with other process parameter optimization methods, this approach is found to better enhance printing efficiency and reduce manufacturing costs.

Key words: fused deposition molding, parameter optimization, finite element analysis, 3D printing

中图分类号:

TH112

赵欣, 黄金杰. 基于RSM-RVEA的FDM增材制造工艺参数优化方法[J]. 机械工程学报, 2024, 60(19): 277-297.

ZHAO Xin, HUANG Jinjie. Optimization Methodology for Additive Manufacturing Parameter by Fused Deposition Modeling (FDM) Based on RSM-RVEA[J]. Journal of Mechanical Engineering, 2024, 60(19): 277-297.

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基于RSM-RVEA的FDM增材制造工艺参数优化方法

Optimization Methodology for Additive Manufacturing Parameter by Fused Deposition Modeling (FDM) Based on RSM-RVEA

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