A Feature Recognition System for Milling Workpiece
| Autor: | Jason Yen, 嚴炯熊 |
|---|---|
| Rok vydání: | 2002 |
| Druh dokumentu: | 學位論文 ; thesis |
| Popis: | 90 The objective of the study focuses on the feature recognition technique. In terms of that, the computer-aided process planning (CAPP) system, which connects computer-aided design (CAD), and computer -aided manufacturing (CAM) makes automatic production and manufacture realized. With the evolution of feature recognition technique, CAPP can be carried out via a computer that can automatically read out the design or manufacturing features from the information of CAD blueprint. The study aims at Solid Works part document. With specifying a tool access direction, the graph-base approach is employed to build an attributed adjacency graph (AAG) of individual manufacturing features. Moreover, by matching with template features, the graph-base approach can be used to recognize the related information concerning process planning of milling workpiece, such as feature type, chamfer radius, raw material size and GT code etc.. Additionally, the system is composed of geometric data capturing, feature set construction, feature recognition and group technology coding subsystems. With regard to programming language, Visual Basic 6.0 is conducted to accomplish the system in order to achieve the feature recognition of milling workpiece. In the study, the application of the feature is limited to 21/2 axis milling operation, including the areas of standard through slot, V-slot, dovetail, standard blind slot, through step, blind step, through pocket, blind pocket, through hole, and blind hole. Thus, further research may focus on the perspectives of other undefined surface features or complicated ones. |
| Databáze: | Networked Digital Library of Theses & Dissertations |
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