Abstract
Automatic feature recognition (AFR) plays an important role in process planning. One of the problems in recognizing cylindrical surfaces via volume decomposition is the problem in generating a uniform thickness for volume decomposition. With the combination of offsetting original surfaces and a mirror approach, the symmetrical cylinder volume decomposition can be generated uniformly. Sub delta volumes for finishing (SDVF) bodies were generated in half section before they being mirrored for full-section SDVF. With full-section SDVF generated, sub delta volume for finishing filled region (SDVF-FR) and sub delta volume for roughing (SDVR) were then generated. Volumes of these bodies were then compared with manual overall delta volume (ODVmanual) calculation. Results show that significant volumes were generated and the developed algorithm is adequate for recognizing symmetrical cylinder part models.
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Acknowledgements
This research is supported by Universiti Sains Malaysia under the Research University Grant (No: 814247). The first author also would like to thank the support of the Universiti Teknologi MARA for staff sponsorship.
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Zubair, A.F., Abu Mansor, M.S. (2018). Surface Recognition and Volume Generation for Symmetrical Parts Using a Mirror Approach. In: Öchsner, A. (eds) Engineering Applications for New Materials and Technologies . Advanced Structured Materials, vol 85. Springer, Cham. https://doi.org/10.1007/978-3-319-72697-7_13
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DOI: https://doi.org/10.1007/978-3-319-72697-7_13
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