Abstract:Metal additive manufacturing (AM) allows obtaining functional parts with the possibility of optimizing them topologically without affecting system performance. This is of great interest for sectors such as aerospace, automotive, and medical–surgical. However, from a metrological point of view, the high requirements applied in these sectors constitute a challenge for inspecting these types of parts. Non-contact inspection has gained great relevance due to the rapid verification of AM parts. Optical measurement … Show more
“…Because the introduced uncertainties from both OMSs are under 0.01mm for the external surfaces and in the order of the surface roughness (Majeed et al, 2019;Yang et al, 2019), it has no effect on the overall result of the measurements for creating the DfAM recommendations. Both OMSs fall into the to-go measurement methods for evaluating metallic L-PBF parts and to perform geometrical benchmarking (Giganto et al, 2020). To execute the shape and dimension analysis, the software GOM Inspect Suite is used.…”
Section: Resultsmentioning
confidence: 99%
“…There are several metrological systems available to cope with this task. Yet, blue light scanners and portable hand scanners are preferred for these surfaces due to their precision, speed and performance (Giganto et al, 2020).…”
Section: Benchmarking Of Metal L-pbf Systemsmentioning
Commercially available metal Laser Powder Bed Fusion (L-PBF) systems are steadily evolving. Thus, design limitations narrow and the diversity of achievable geometries widens. This progress leads researchers to create innovative benchmarks to understand the new system capabilities. Thereby, designers can update their knowledge base in design for additive manufacturing (DfAM). To date, there are plenty of geometrical benchmarks that seek to develop generic test artefacts. Still, they are often complex to measure, and the information they deliver may not be relevant to some designers. This article proposes a geometrical benchmarking approach for metal L-PBF systems based on the designer needs. Furthermore, Geometric Dimensioning and Tolerancing (GD&T) characteristics enhance the approach. A practical use-case is presented, consisting of developing, manufacturing, and measuring a meaningful and straightforward geometric test artefact. Moreover, optical measuring systems are used to create a tailored uncertainty map for benchmarking two different L-PBF systems.
“…Because the introduced uncertainties from both OMSs are under 0.01mm for the external surfaces and in the order of the surface roughness (Majeed et al, 2019;Yang et al, 2019), it has no effect on the overall result of the measurements for creating the DfAM recommendations. Both OMSs fall into the to-go measurement methods for evaluating metallic L-PBF parts and to perform geometrical benchmarking (Giganto et al, 2020). To execute the shape and dimension analysis, the software GOM Inspect Suite is used.…”
Section: Resultsmentioning
confidence: 99%
“…There are several metrological systems available to cope with this task. Yet, blue light scanners and portable hand scanners are preferred for these surfaces due to their precision, speed and performance (Giganto et al, 2020).…”
Section: Benchmarking Of Metal L-pbf Systemsmentioning
Commercially available metal Laser Powder Bed Fusion (L-PBF) systems are steadily evolving. Thus, design limitations narrow and the diversity of achievable geometries widens. This progress leads researchers to create innovative benchmarks to understand the new system capabilities. Thereby, designers can update their knowledge base in design for additive manufacturing (DfAM). To date, there are plenty of geometrical benchmarks that seek to develop generic test artefacts. Still, they are often complex to measure, and the information they deliver may not be relevant to some designers. This article proposes a geometrical benchmarking approach for metal L-PBF systems based on the designer needs. Furthermore, Geometric Dimensioning and Tolerancing (GD&T) characteristics enhance the approach. A practical use-case is presented, consisting of developing, manufacturing, and measuring a meaningful and straightforward geometric test artefact. Moreover, optical measuring systems are used to create a tailored uncertainty map for benchmarking two different L-PBF systems.
“…Many studies have focused at the determination of metrological characteristics of CMS. In paper [8] the authors present a comparative analysis of five different optical measurement systems (OMS) in purpose Geometric Dimensioning and Tolerancing (GD&T) verification of selective laser melting parts. The results obtained can be served for comparison to OMS in terms of dimensional and geometrical accuracy and inspection speed.…”
The aim of this paper is to examine the metrological characteristics of some of the most commonly used coordinate measurement systems in industry in a case study of the flatness error. The accuracy and measurement uncertainty of the coordinate measuring machine with contact probe, point by point mode and scanning mode, and with non -contact probe, then performance measuring arm, optical scanner and finally industrial computed tomography were analyzed. In order to exclude factors that affect the accuracy of measurement and measurement uncertainty, and are not part of the hardware structure of the CMS, the experiment was conducted on a reference workpiece and an independent software solution was used to estimate the error of flatness. The accuracy of measuring systems was determined as the difference between the reference value and the mean value of repeated measurements and the measurement uncertainty was determined according to the instructions for estimating the measurement uncertainty GUM. The results of the research showed high metrological performance of the coordinate measuring machine and the optical scanner for this measuring task. Also, it was found that industrial computed tomography gives a very large measurement error and that the measurement uncertainty is very difficult to determine.
“…In this work, a structured light scanner is used to obtain geometric dimensioning and tolerancing (GD&T) measurements on the artefacts. This 3D scanner achieves a very high precision, especially important on parts with the typical SLM surface finish (Giganto et al , 2020).…”
Purpose
Among the different methodologies used for performance control in precision manufacturing, the measurement of metrological test artefacts becomes very important for the characterization, optimization and performance evaluation of additive manufacturing (AM) systems. The purpose of this study is to design and manufacture several benchmark artefacts to evaluate the accuracy of the selective laser melting (SLM) manufacturing process.
Design/methodology/approach
Artefacts consist of different primitive features (planes, cylinders and hemispheres) on sloped planes (0°, 15°, 30°, 45°) and stair-shaped and sloped planes (from 0° to 90°, at 5° intervals), manufactured in 17-4PH stainless steel. The artefacts were measured optically by a structured light scanner to verify the geometric dimensioning and tolerancing of SLM manufacturing.
Findings
The results provide design recommendations for precision SLM manufacturing of 17-4PH parts. Regarding geometrical accuracy, it is recommended to avoid surfaces with 45° negative slopes or higher. On the other hand, the material shrinkage effect can be compensated by resizing features according to X and Y direction.
Originality/value
No previous work has been found that evaluates accuracy when printing inwards (pockets) and outwards (pads) geometries at different manufacturing angles using SLM. The proposed artefacts can be used to determine the manufacturing accuracy of different AM systems by resizing to fit the build envelope of the system to evaluate. Analysis of manufactured benchmark artefacts allows to determine rules for the most suitable design of the desired parts.
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