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Automatic feature recognition of regular features for symmetrical and non-symmetrical cylinder part using volume decomposition method

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Abstract

Feature recognition of CAD model in computer aided process planning (CAPP) is the main element to be resolved to automate process planning. Few studies of volume decomposition in recognizing features of cylindrical part model show lack of comprehensive recognition of individual features for cylindrical part in concession with uniform thickness of the delta volume. This paper focuses on individual features recognition of symmetrical and non-symmetrical cylindrical parts. Symmetrical part model with axisymmetric features including internal and external features were recognized to differentiate features that are suitable for turning or those suitable for milling operations. External features body volume will be decomposed in terms of finishing and roughing operations. Volumes of generated bodies were calculated and compared with manual overall delta volume (ODVmanual). The developed algorithm was tested for reliability with respect to time. The results show less than 0.01% of error in comparison of algorithm overall delta volume, (ODV) and ODVmanual.

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Acknowledgements

This research is supported by the Ministry of Higher Education Malaysia and Universiti Sains Malaysia under the Fundamental Research Grant Scheme (FRGS) (Reference no. 6071227), Exploratory Research Grant Scheme (ERGS) (Reference no. 6730015), and Research University Grants (Reference nos. 811186 and 814247). The first author also would like to thank the support of the Universiti Teknologi MARA for staff sponsorship.

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  1. School of Mechanical Engineering, Engineering Campus, Universiti Sains Malaysia, 14300, Nibong Tebal, Pulau Pinang, Malaysia

    Ahmad Faiz Zubair & Mohd Salman Abu Mansor

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  1. Ahmad Faiz Zubair
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  2. Mohd Salman Abu Mansor
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Correspondence to Mohd Salman Abu Mansor.

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Zubair, A.F., Abu Mansor, M.S. Automatic feature recognition of regular features for symmetrical and non-symmetrical cylinder part using volume decomposition method. Engineering with Computers 34, 843–863 (2018). https://doi.org/10.1007/s00366-018-0576-8

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  • DOI: https://doi.org/10.1007/s00366-018-0576-8

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