This paper presents the stages taken to remanufacture a damaged part, for which no documentation is available, using the SLM additive technologies. A damaged part is scanned using the COMET L3D scanner and the points cloud is used to redesign and reconstruct the part as a 3D CAD model. Using the generated 3D CAD model the build job for the SLM is created by designing and adding the construction supports, the material type and the type of hatching strategy for each slice. The slices are used by the SLM250HL equipment and the new metallic part is manufactured. The manufactured part was scanned with the same 3D scanner and the data from the original part was compared with the new reading. The results can be used to reconstruct more complex parts, to redesign the broken parts and to improve the manufacturing process.
Incremental forming is one of the manufacturing methods which uses relative simple technological equipment and can assure a high rate of the process flexibility. These requirements can assure the efficiency demanded by the industrial market, in the case of small production batches, which occur more and more often nowadays. To ensure the stability of the process, the required quality and dimensional accuracy of the parts have to be well controlled. This requires the evaluation of the parts dimensions by certain measurements. For hollow parts, the measurement of their thickness is always a challenge, mainly when the dimensions are smaller and their depth is greater. This paper presents a digital method for the parts dimensional evaluation and analysis, which can be very accurate and does not need mechanical contacts with the part during measurements. The parts were scanned with a 3D blue light scanner, on their both sides and then the data was processed into specialized software, to obtain the parts digital surface from the 3D scanned data. The digital data was compared with the theoretical approach, to establish some conclusions on the validity of the sinus law and to point out the critical zones, where the thinning is strong and may cause fractures. The digital scanning method presented can be used also for quality control and inspection, as the processing steps are considered user-friendly and easy to adapt to certain specific requirements.
This paper presents how in the Reverse Engineering process can be integrated specific software tools, developed by the authors, which allow for digitized rectangular parts with internal surfaces of revolution, to obtain solid models and CNC program. The first tool named Rotational Axis Primitives and Recognition has implemented a set of algorithms and it is used for recognizing, from a cloud of points associated with a rotational part, the axis and geometrical parameters. The second tool named Hole_Application is created for forward engineering and it can be used to design and manufacture the industrial products with rectangular shape using intelligent technological objects for holes.
The paper presents the way the 3D scanning was used to correct miss-alignment of the tools on a metal sheet bending press. Parts obtained by bending where not conform to requirements, and the reason was unknown. In order to find the error, the shape, size, and alignment of bending board and stamp had to be checked. The particular very long tools imposed as the single appropriate method of measurement: 3D scanning. The point clouds gathered by 3D scanning were processed to get the 3D models of the tools. Analyzing the models of the tools and their relative position led to conclusions that revealed the error and allowed fixing the problem.
It is a well known fact that Reverse Engineering techniques involve the following steps: scanning the object, pre-processing a cloud of points, processing the cloud of points, redesigning, and manufacturing the part. Difficulties arise when processing clouds of points resulted from digitization, obtaining geometrical parameters of the scanned object itself and getting the final associated CAD model. This paper presents an algorithm for the recognition of a rotational part form. The part has been previously scanned and will be redesigned for re-manufacturing. To determine the surfaces of a rotational part, it is necessary to scan the part in order to obtain the cloud of points which is afterwards cleared of noise points. Beginning with the cloud of points, an algorithm is built that automatically determines the part’s axis. The axis is then used to generate the required sections. The same tool also facilitates the recognition of simple, basic shapes like cylinders, cones and spheres. The points cloud data are stored in a text file. The text file contains all the points’ coordinates of the cloud. After running the software on the data file we obtain the geometrical data necessary for the parametric model. This data can then be exported to a 3D design environment to redesign the digitized part. This paper contains two case studies in which a part was scanned and then, following the steps outlined above, the geometrical data of the part are obtained. With the geometrical data, the part can be modelled like a parameterized object.
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