Parameters Influencing the Precision of SLM Production

Keller, Petr; Mendřický, Radomír

doi:10.17973/mmsj.2015_10_201540

Cited by 7 publications

(5 citation statements)

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“…The hydraulic capacity and performance of AM centrifugal pump impellers was investigated by Fernandez et al [ 12 ] using a different manufacturing technology, fused deposition modeling (FDM), and found that the inherent roughness of the AM process did not limit the head-flow curve results of the pump and, by using a chemical post-treatment, a more stable behavior in the high-flow operating range of the pump is ensured. The correlation between surface roughness, which depends mostly on surface temperatures achieved with as-built Inconel 625 SLM parts, and process parameters was found by Koutiria in [ 13 ] and Keller and Mendricky in [ 14 ]. Globally, Ra was shown to increase with lower scan speeds, to decrease with higher powers and to increase severely on down-skin sides for large building angles.…”

Section: Introductionmentioning

confidence: 96%

A Study on Using the Additive Manufacturing Process for the Development of a Closed Pump Impeller for Mechanically Pumped Fluid Loop Systems

et al. 2021

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The efficiency of a centrifugal pump for mechanical pump fluid loops, apart from the design, relies on the performance of the closed impeller which is linked to the manufacturing process in terms of dimensional accuracy and the surface quality. Therefore, the activities of this paper were focused on defining the manufacturing process of a closed impeller using the additive manufacturing technology for mechanically pumped fluid loop (MPFL) systems in space applications. Different building orientations were studied to fabricate three closed impellers using selective laser melting technology and were subjected to dimensional accuracy and surface quality evaluations in order to identify the optimal building orientation. The material used for the closed impeller is Inconel 625. The results showed that both geometrical stability and roughness were improved as the building orientation increased, however, the blade thickness presented small deviations, close to imposed values. Finishing processes for inaccessible areas presented significant results in terms of roughness, nevertheless, the process can be further improved. Abrasive flow machining (AFM) post-processing operations have been considered and the results show major improvements in surface quality. Thus, important steps were made towards the development of complex structural components, consequently increasing the technological readiness level of the additive manufacturing process for space applications.

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Section: Introductionmentioning

confidence: 96%

A Study on Using the Additive Manufacturing Process for the Development of a Closed Pump Impeller for Mechanically Pumped Fluid Loop Systems

et al. 2021

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“…For measuring rock joint surface roughness, an Advanced Topometric Sensor (ATOS I) was used (Fig. 3) which operates by combining measuring principles of optical triangulation, photogrammetry and fringe projection (Keller & Mendricky, 2015). With the help of a projector, different light-dark fringe patterns are produced by the measuring part.…”

Section: Use Of a 3d Scannermentioning

confidence: 99%

Prediction of the peak shear strength of the rock joints with artificial neural networks

BIZJAK¹,

VEZOČNIK²

2022

Geologija

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With the development of computer technology, artificial neural networks are becoming increasingly useful in the field of engineering geology and geotechnics. With artificial neural networks, the geomechanical properties of rocks or their behaviour could be predicted under different stress conditions. Slope failures or underground excavations in rocks mostly occurred through joints, which are essential for the stability of geotechnical structures. This is why the peak shear strength of a rock joint is the most important parameter for a rock mass stability. Testing of the shear characteristics of joints is often time consuming and suitable specimens for testing are difficult to obtain during the research phase. The roughness of the joint surface, tensile strength and vertical load have a great influence on the peak shear strength of the rock joint. In the presented paper, the surface roughness of joints was measured with a photogrammetric scanner, and the peak shear strength was determined by the Robertson direct shear test. Based on six input characteristics of the rock joints, the artificial neural network, using a backpropagation learning algorithm, successfully learned to predict the peak shear strength of the rock joint. The trained artificial neural network predicted the peak shear strength for similar lithological and geological conditions with average estimation error of 6 %. The results of the calculation with artificial neural networks were compared with the Grasselli experimental model, which showed a higher error in comparison with the artificial neural network model.

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“…During the research, a few additional studies concentrating on the technological details have been suggested, such as which parameters need to be set for the printing and which materials need to be used for the printing and material properties, and after the printing, what are the effects of the environmental conditions with respect to time [6][7][8][9]. Several studies can also be found in the available literature that have dealt with the influence of process parameters on the quality and accuracy of the FDM 3D printing technology [10][11][12], PolyJet Technology [13], SLM technology [14], or SLS technology [15].…”

Section: Introductionmentioning

confidence: 99%

Geometric Stability of Parts Produced by 3D Printing

Mendřický

Soni

2022

Teh. vjesn.

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The article focuses on an analysis of the long-term dimensional stability of parts produced by additive technology (using 3D printing). The models were already manufactured by different additive technologies such as FDM, PolyJet, SLS, and SLA a year ago. These models would be scanned using an ATOS II 400 3D contactless scanner and inspected by GOM Inspect Professional V8 depending on the principles of the 3D printing and optical digitisation. The parts were dimensionally and shape inspected 3 months after production, one year after production and one year after production with exposure to climatic tests (test-1: cyclic changes in the temperature and humidity, test-2: exposure to ultraviolet radiation). Then this analysis of measurement was compared with the CAD model and the printed model on the first day after printing. Based on this analysis, and from the point of view of ageing with respect to time, the technology and material that have a good dimensional and shape stability are discussed.

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Parameters Influencing the Precision of SLM Production

Cited by 7 publications

References 0 publications

A Study on Using the Additive Manufacturing Process for the Development of a Closed Pump Impeller for Mechanically Pumped Fluid Loop Systems

A Study on Using the Additive Manufacturing Process for the Development of a Closed Pump Impeller for Mechanically Pumped Fluid Loop Systems

Prediction of the peak shear strength of the rock joints with artificial neural networks

Geometric Stability of Parts Produced by 3D Printing

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