Abstract
In studying manufacturing processes it is often necessary to compare nominal or reference product shapes that are expected to be ideally achieved after applying a nominal set of process parameters and the actual product shape achieved. The latter is usually obtained by metrological equipment such as profilometers, tomographs and 3D scanners, whilst the former may also result from manufacturing process numerical simulation software. In this work, comparison of 2D contours is studied by adopting the well-established Procrustes method. The method relies on minimizing deviation of landmark points belonging to the shapes under scrutiny. Landmarks that need to be compared pairwise should be chosen in an optimal way, especially when the contours contain different numbers of points, when they differ locally etc. Optimal determination of landmarks and as a result implementation of contour comparison is performed through ant colony optimization implemented on MatlabTM platform. Indicative results are shown where deviations discovered signify shrinkage of a die-cast clay part.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.