The present paper illustrates the development of generative feature recognition of cylindrical part model that emphasize on recognition of chamfer and fillet.Without automation, manual work on recognizing these features are tedious and time consuming. Chamfers were recognized by conical surface while constant radius fillets on concave and convex edges were recognized by circular faces and edges. Cylindrical stock model, sub-delta volume for finishing (SDVF) of feature’s recognized and sub-delta volume for roughing of the part model were generated. The resulted volume decomposition in term of delta volume were then compared with manual calculation of feature’s delta volume to achieve the differential error. Two examples of part model were tested and the results show less than zero differential error. These prove that the algorithm is able to recognize cylindrical part model chamfers and fillets feature.
| Item Type: | Article |
|---|---|
| Creators: | Creators Email / ID Num. Zubair, Ahmad Faiz UNSPECIFIED Abu Mansor, Mohd Salman UNSPECIFIED |
| Subjects: | T Technology > TJ Mechanical engineering and machinery T Technology > TJ Mechanical engineering and machinery > Mechanics applied to machinery. Dynamics T Technology > TJ Mechanical engineering and machinery > Machine design and drawing |
| Divisions: | Universiti Teknologi MARA, Shah Alam > Faculty of Mechanical Engineering |
| Journal or Publication Title: | Journal of Mechanical Engineering (JMechE) |
| UiTM Journal Collections: | UiTM Journals > Journal of Mechanical Engineering (JMechE) |
| ISSN: | 18235514 |
| Volume: | SI 5 |
| Number: | 2 |
| Page Range: | pp. 204-216 |
| Keywords: | CAPP, Automatic Feature Recognition, Chamfer, Fillet, Sub Delta Volume. |
| Date: | 2018 |
| URI: | https://ir.uitm.edu.my/id/eprint/39393 |
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