Abstract
Additive manufacturing (AM) is established as a new class for fabricating 3D physical prototypes layer by layer. Given that a large number of different 3D printers (AM machines) are present now (as a product of renowned manufacturers or custom-made products), the design of a benchmark artifact for evaluation of the AM processes is very important. This implies quality evaluation of the capabilities and limitations of each AM process and also the geometrical testing of the 3D printers. The paper proposes a benchmark artifact, according to the criteria for modeling of the benchmark artifact, with a large number of basic features for its geometrical evaluation. Although there are a large number of commercial software packages, this paper also proposes a low-cost developed measurement method of geometrical deviation that could be also adjustable for requirements in an easy way. Verification of the proposed deviation measurement method has been done by several experiments. The experiments include fabrication of the proposed benchmark artifact on available 3D printers by an FFF (fused filament fabrication) process also known as FDM (fused deposition modeling), and after that its scanning. Verification is done by comparing quality evaluation of each fabricated part by developed method and commercial software.
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Abbreviations
- S i :
-
ith scanned point
- P 1 ,P 2 P 3 :
-
Triangle points
- T C :
-
Triangle center of gravity
- δ i :
-
Deviation of ith point
- n :
-
Normal vector of triangle
- nx,ny,nz :
-
Projection of normal vector
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Acknowledgments
This work was supported by the Ministry of Education, Science and Technological Development of Serbia (Development of a new generation of domestic manufacturing systems- TR 35022), Republic of Serbia.
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Nikola Vorkapic is a Teaching Assistant at Faculty of Mechanical Engineering, University of Belgrade, Serbia. His current research interests are machine tools, reconfigurable machine tools, CAD/CAM, additive manufacturing, casting and rapid prototyping.
Milos Pjevic is an Assistant Professor at Faculty of Mechanical Engineering, University of Belgrade, Serbia. His current research interests are manufacturing technology, tools and fixtures, micro cutting, additive manufacturing, rapid prototyping.
Mihajlo Popovic is an Assistant Professor at Faculty of Mechanical Engineering, University of Belgrade, Serbia. His current research interests are manufacturing technology, tools and fixtures, prediction of cutting forces, additive manufacturing, rapid prototyping.
Nikola Slavkovic is an Assistant Professor at Faculty of Mechanical Engineering, University of Belgrade, Serbia. His current research interests are industrial robots, parallel kinematic mechanism, robot machining, compliance and errors compensation, CAD/CAM, STEPNC, and rapid prototyping.
Sasa Zivanovic is an Associate Professor at Faculty of Mechanical Engineering, University of Belgrade, Serbia. His current research interests are machine tools, parallel kinematic machine tools, reconfigurable machine tools, STEP-NC, robots for machining, CAD/CAM, Wire EDM, and rapid prototyping.
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Vorkapic, N., Pjevic, M., Popovic, M. et al. An additive manufacturing benchmark artifact and deviation measurement method. J Mech Sci Technol 34, 3015–3026 (2020). https://doi.org/10.1007/s12206-020-0633-2
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DOI: https://doi.org/10.1007/s12206-020-0633-2