STEP-based Feature Recognition System for B-spline Surface Features
文献类型：期刊论文
| 作者 | Bitla Venu; Venkateswara Rao Komma; Deepanshu Srivastava |
| 刊名 | International Journal of Automation and Computing
 |
| 出版日期 | 2018 |
| 卷号 | 15期号:4页码:500-512 |
| 关键词 | Feature recognition 3D computer aided design (CAD) model geometrical information standard for the exchange of product model data (STEP) AP203 Java standard data access interface (JSDAI). |
| ISSN号 | 1476-8186 |
| DOI | 10.1007/s11633-018-1116-0 |
| 英文摘要 | The geometrical and topological information of 3D computer aided design (CAD) models should be represented as a neutral format file to exchange the data between different CAD systems. Exchange of 3D CAD model data implies that the companies must exchange complete information about their products, all the way from design, manufacturing to inspection and shipping. This information should be available to each relevant partner over the entire life cycle of the product. This led to the development of an international standard organization (ISO) neutral format file named as standard for the exchange of product model data (STEP). It has been observed from the literature, the feature recognition systems developed were identified as planar, cylindrical, conical and to some extent spherical and toroidal surfaces. The advanced surface features such as B-spline and its subtypes are not identified. Therefore, in this work, a STEP-based feature recognition system is developed to recognize B-spline surface features and its sub-types from the 3D CAD model represented in AP203 neutral file format. The developed feature recognition system is implemented in Java programming language and the product model data represented in STEP AP203 format is interpreted through Java standard data access interface (JSDAI). The developed system could recognize B-spline surface features such as B-Spline surface with knots, quasi uniform surface, uniform surface, rational surface and Bezier surface. The application of extracted B-spline surface features information is discussed with reference to the toolpath generation for STEP-NC (STEP AP238). |
| 源URL | [http://ir.ia.ac.cn/handle/173211/42428]  |
| 专题 | 自动化研究所_学术期刊_International Journal of Automation and Computing |
| 作者单位 | Department of Mechanical Engineering, Motilal Nehru National Institute of Technology, Allahabad 211004, India |
| 推荐引用方式 GB/T 7714 | Bitla Venu,Venkateswara Rao Komma,Deepanshu Srivastava. STEP-based Feature Recognition System for B-spline Surface Features[J]. International Journal of Automation and Computing,2018,15(4):500-512. |
| APA | Bitla Venu,Venkateswara Rao Komma,&Deepanshu Srivastava.(2018).STEP-based Feature Recognition System for B-spline Surface Features.International Journal of Automation and Computing,15(4),500-512. |
| MLA | Bitla Venu,et al."STEP-based Feature Recognition System for B-spline Surface Features".International Journal of Automation and Computing 15.4(2018):500-512. |
入库方式： OAI收割
来源：自动化研究所
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