Abstract
The forming direction and layer thickness of the model in 3D inkjet printing technology are the key factors that affect the surface accuracy, processing time and processing cost of the part. In order to reduce the processing time and improve the surface precision, a hierarchical optimization method based on improved fast non-dominated sorting genetic algorithm is proposed. Two objective functions of surface precision and processing time are established, and iterative solution is realized by selection, crossover and mutation. Experiments show that this method can effectively solve the optimization problem of layering direction in 3D printing process.
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Acknowledgments
This research was supported by Natural Science Foundation of Hebei Province, China under Grant No. E2016202297.
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Niu, Z., Yang, W., Gao, X., Tu, X. (2020). Multi-objective Optimization Based on NSGA-II Algorithm for 3DP Process. In: Xhafa, F., Patnaik, S., Tavana, M. (eds) Advances in Intelligent Systems and Interactive Applications. IISA 2019. Advances in Intelligent Systems and Computing, vol 1084. Springer, Cham. https://doi.org/10.1007/978-3-030-34387-3_93
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DOI: https://doi.org/10.1007/978-3-030-34387-3_93
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