Improvement and Experimental Investigation of Adaptive Slicing Method in Fused Deposition Forming

Wang Xinyi; Li Shujuan; Ma Weidong; Yang Leipeng

doi:10.13433/j.cnki.1003-8728.20180297

Volume 38 Issue 8

Aug. 2019

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Article Navigation > Mechanical Science and Technology for Aerospace Engineering > 2019 > 38(8): 1231-1238

Wang Xinyi, Li Shujuan, Ma Weidong, Yang Leipeng. Improvement and Experimental Investigation of Adaptive Slicing Method in Fused Deposition Forming[J]. Mechanical Science and Technology for Aerospace Engineering, 2019, 38(8): 1231-1238. doi: 10.13433/j.cnki.1003-8728.20180297

Citation:

Wang Xinyi, Li Shujuan, Ma Weidong, Yang Leipeng. Improvement and Experimental Investigation of Adaptive Slicing Method in Fused Deposition Forming[J]. Mechanical Science and Technology for Aerospace Engineering, 2019, 38(8): 1231-1238. doi: 10.13433/j.cnki.1003-8728.20180297

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Improvement and Experimental Investigation of Adaptive Slicing Method in Fused Deposition Forming

doi: 10.13433/j.cnki.1003-8728.20180297

School of Mechanical and Precision Instrument Engineering, Xi'an University of Technology, Xi'an 710048, China

Received Date: 2018-07-04
Publish Date: 2019-08-05

Abstract

Abstract

At present, various adaptive slicing algorithms have been proposed in fused deposition forming in order to improve the disadvantages that the forming efficiency and forming accuracy cannot be balanced. Among them, the adaptive slicing algorithm based on the triangular face normal vector of STL model has the following problems, If the angle between the triangulation normal vector and the layering direction is too large or too small, this algorithm cannot achieve the adaptive change of the layer thickness as the angle between the normal vector and the layering direction changes. For this purpose, this paper applies normalization algorithms to improve it, and after equalizing the thickness of the model, determine the adaptive layer thickness of each layer according to the normalized principle. Secondly, based on MATLAB, this adaptive slicing algorithm and its improved algorithm are simulated. Finally, the experimental verification is performed on the fused deposition experimental platform. The experimental results show that comparing with the original algorithm, the improved adaptive slicing algorithm is significantly improved, and the part molding efficiency is increased by 22%, and the forming accuracy is increased by 29%, which is practical and effective.
- fused deposition forming,
- adaptive slicing algorithms,
- forming efficiency,
- forming accuracy,
- normalization algorithms

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References(18)

References

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