Abstract
The results of the study on the capabilities of adaptive slicing the original 3D model at layered product shaping are presented. The proposed method of adaptive slicing the 3D model allows increasing the process effectiveness and regulates the accuracy of manufacturing products by setting the building step for each lowering of the working platform of additive technologies installation. The building step is selected, taking into account the density of distribution of angles between the building direction vector and the product surface normals that are in the current layer. The developed algorithm for adaptive slicing the 3D model provides for balanced truncation of the distribution, which further reduces the building time compared to existing slicing strategies with variable steps. Evaluation of the effectiveness of adaptive slicing was carried out based on the comparative analysis of the number of layers and the predicted deviations from the regular surface shape as applied to 3D models of industrial products. Improve the effectiveness of the proposed adaptive slicing with an increase in the geometric complexity of the product is revealed.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Zhang, Y., Bernard, A.: AM feature and knowledge based process planning for additive manufacturing in multiple parts production context. In: Proceedings of 25th Annual International Solid Freeform Fabrication Symposium, pp. 1259–1276 (2014)
Byun, H.S., Lee, K.H.: Determination of optimal build direction in rapid prototyping with variable slicing. Int. J. Adv. Manuf. Technol. 28, 307–313 (2006)
Panhalkar, N., Paul, R., Anand, S.: Increasing part accuracy in additive manufacturing processes using a k-d tree based clustered adaptive layering. J. Manuf. Sci. Eng. 136(6), 061017 (2014)
Nadiyapara, H.H., Pande, S.: A review of variable slicing in fused deposition modeling. J. Inst. Eng. (India) Ser. C 98(3), 387–393 (2016)
Wang, W., Chao, H., Tong, J., Yang, Z., Tong, X., Li, H., Liu, L.: Saliency-preserving slicing optimization for effective 3D printing. Comput. Graph. Forum 34(6), 148–160 (2015)
Sabourin, E., Houser, S.A., Bohn, J.H.: Adaptive slicing using stepwise uniform refinement. Rapid Prototyp. J. 2(4), 20–26 (1996)
Cormier, D., Unnanon, K., Sanni, E.: Specifying non-uniform cusp heights as a potential for adaptive slicing. Rapid Prototyp. J. 6(3), 204–211 (2000)
Gupta, V., Bajpai, V., Tandon, P.: Slice generation and data retrieval algorithm for rapid manufacturing of heterogeneous objects. Comput.-Aided Des. Appl. 11(3), 255–262 (2013)
Mohan Pandey, P., Venkata Reddy, N., Dhande, S.G.: Slicing procedures in layered manufacturing: a review. Rapid Prototyp. J. 9(5), 274–288 (2003)
Pan, X.D., Chen, K., Zhang, Z.Y., Chen, D.F., Li, T.T.: Adaptive slicing algorithm based on STL model. Appl. Mech. Mater. 288, 241–245 (2013)
Singhal, S.K., Jain, P.K., Pandey, P.M.: Adaptive slicing for SLS prototyping. Comput.-Aided Des. Appl. 5(1), 412–423 (2013)
Sikder, S., Barari, A., Kishawy, H.A.: Control of NURBS-based surface error factor using a manufacturing cost optimization in rapid prototyping process. IFAC Proc. Vol. 46(9), 1560–1565 (2013)
Taufik, M., Jain, P.K.: Volumetric error control in layered manufacturing. In: The Proceedings of ASME 2014 International Design Engineering Technical Conferences & Computers and Information in Engineering Conference (IDETC/CIE 2014), Buffalo, New York, USA, 17–20 August (2014). V004T06A017 (10 pages)
Siraskar, N., Paul, R., Anand, S.: Adaptive slicing in additive manufacturing process using a modified boundary octree data structure. J. Manuf. Sci. Eng. 137(1), 011007 (2014)
Boschetto, A., Giordano, V., Veniali, F.: 3D roughness profile model in fused deposition modelling. Rapid Prototyp. J. 19(4), 240–252 (2013)
Li, H., Wang, T., Sun, J., Yu, Z.: The adaptive slicing algorithm and its impact on the mechanical property and surface roughness of freeform extrusion parts. Virtual Phys. Prototyp. 11(1), 27–39 (2016)
Abdurajimov, L.: Adaptive slicing of product 3D-model in technology of rapid prototyping and manufacturing. Scientific Notes of the Crimean Engineering and Pedagogical University. Technical Science, SC CEPU, Simferopol, no. 18, pp. 15–20 (2009). (in Ukrainian)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG
About this paper
Cite this paper
Garashchenko, Y., Zubkova, N. (2020). Adaptive Slicing in the Additive Manufacturing Process Using the Statistical Layered Analysis. In: Ivanov, V., Trojanowska, J., Pavlenko, I., Zajac, J., Peraković, D. (eds) Advances in Design, Simulation and Manufacturing III. DSMIE 2020. Lecture Notes in Mechanical Engineering. Springer, Cham. https://doi.org/10.1007/978-3-030-50794-7_25
Download citation
DOI: https://doi.org/10.1007/978-3-030-50794-7_25
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-50793-0
Online ISBN: 978-3-030-50794-7
eBook Packages: EngineeringEngineering (R0)