AI Article Synopsis
- Reverse engineering (RE) uses 3D scanning technology to create accurate CAD models from physical parts that may lack documentation or have been altered from their original designs.
- This method is quicker and more precise than traditional manual measurement and design, making it popular in various fields, including automotive engineering and cultural heritage.
- The study showcases two automotive applications: re-manufacturing damaged sheet metal cutting dies and comparing scanned point cloud data with 3D CAD for inspection, examining how different lenses and scanning parameters affect part accuracy.
Article Abstract
Reverse engineering (RE) is a powerful tool for generating a CAD model from the 3D scan data of a physical part that lacks documentation or has changed from the original CAD design of the part. The process of digitizing a part and creating a CAD model from 3D scan data is less time consuming and provides greater accuracy than manually measuring the part and designing the part from scratch in CAD. 3D optical scanning technology is one of the measurement methods which have evolved over the last few years and it is used in a wide range of areas from industrial applications to art and cultural heritage. It is also used extensively in the automotive industry for applications such as part inspections, scanning of tools without CAD definition, scanning the casting for definition of the stock (i.e. the amount of material to be removed from the surface of the castings) model for CAM programs and reverse engineering. In this study two scanning experiments of automotive applications are illustrated. The first one examines the processes from scanning to re-manufacturing the damaged sheet metal cutting die, using a 3D scanning technique and the second study compares the scanned point clouds data to 3D CAD data for inspection purposes. Furthermore, the deviations of the part holes are determined by using different lenses and scanning parameters.
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|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3345859 | PMC |
| http://dx.doi.org/10.3390/s90301967 | DOI Listing |
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