Abstract
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.
Highlights
Co-Innovation Center of Efficient Processing and Utilization of Forest Resources, Nanjing Forestry University, Abstract: 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
Guan et al [16] used finite element analysis and a micro-genetic algorithm to optimize the microstructure of the forging process, and the results showed that the optimized H-shaped forging could obtain a small grain size and homogeneous grain distribution; Shabani, MO et al [17] conducted a combination method of a genetic algorithm, finite element method, and artificial intelligence to determine the optimal preparation conditions of Al matrix nano-composites from the aspects of microstructure and mechanical properties
The innovation of this paper is that based on the solid printing process, the multiobjective optimization design method of regular hexagonal cells was proposed for the first time
Summary
Co-Innovation Center of Efficient Processing and Utilization of Forest Resources, Nanjing Forestry University, Abstract: 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. Direct laser engraving technology has quickly become a research hotspot in the field of gravure plate making because of its high speed, high resolution, and arbitrary cell design. This article took the laser-engraved regular hexagonal cell structure with a U-shaped longitudinal section as the research object, and carried out a multi-objective optimization design of cell structure. Deng Pujun et al [10,11] first studied the influence of the screen ruling and the angle of electronic engraving on the ink transfer rate, and used electronic engraving experiments to obtain V-shaped cell size data, and used MATLAB to establish a calculation model for the gravure cell volume. There are many theoretical studies on microstructure optimization, it is still a nascent topic at the application level, especially in multi-physics applications
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