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Article

Multi-Objective Optimization of Microstructure of Gravure Cell Based on Response Surface Method

Co-Innovation Center of Efficient Processing and Utilization of Forest Resources, Nanjing Forestry University, Nanjing 210037, China
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Academic Editor: Luis Puigjaner
Processes 2021, 9(2), 403; https://doi.org/10.3390/pr9020403
Received: 29 December 2020 / Revised: 14 February 2021 / Accepted: 15 February 2021 / Published: 23 February 2021
(This article belongs to the Section Advanced Digital and Other Processes)
In order to improve the structural stiffness of the gravure cell structure in the solid printing process and realize a lightweight design, a multi-objective optimization design method was proposed to optimize the parameters of the direct laser engraving of the cell structure. In this paper, based on the characteristics of the cell structure and the analysis of the contact force, the ANSYS parametric design language (APDL) was used to conduct a finite element analysis on the microstructure of the regular hexagonal cell. We found that there is a certain optimization space. Then, a response surface (RSM) method optimization model, using a central composite design (CCD), was established to obtain, and then analyze, the sensitivity of each design variable to the objective functions. Finally, a multi-objective genetic algorithm (MOGA) was used to solve the model. The optimization results show that the maximum deformation was reduced by 44.4%, and the total volume was reduced by 46.3%. By comparing with the model before optimization, the rationality and effectiveness of this method were verified. This shows that the method can be effectively applied to the design optimization of gravure cell microstructure, and it provides theoretical support for new cell design. View Full-Text
Keywords: gravure printing; cell structure; contact analysis; response surface method; multi-objective optimization gravure printing; cell structure; contact analysis; response surface method; multi-objective optimization
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MDPI and ACS Style

Wu, S.; Xing, J.; Dong, L.; Zhu, H. Multi-Objective Optimization of Microstructure of Gravure Cell Based on Response Surface Method. Processes 2021, 9, 403. https://doi.org/10.3390/pr9020403

AMA Style

Wu S, Xing J, Dong L, Zhu H. Multi-Objective Optimization of Microstructure of Gravure Cell Based on Response Surface Method. Processes. 2021; 9(2):403. https://doi.org/10.3390/pr9020403

Chicago/Turabian Style

Wu, Shuang, Jiefang Xing, Ling Dong, and Honjuan Zhu. 2021. "Multi-Objective Optimization of Microstructure of Gravure Cell Based on Response Surface Method" Processes 9, no. 2: 403. https://doi.org/10.3390/pr9020403

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