Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/15927
Title: Automated Volumetric Feature Extraction from the Machining Perspective
Authors: HESAMODDIN AHMADI
Keywords: CAPP; Automated Feature Recognition; CAD/CAM Integration
Issue Date: 14-Apr-2009
Source: HESAMODDIN AHMADI (2009-04-14). Automated Volumetric Feature Extraction from the Machining Perspective. ScholarBank@NUS Repository.
Abstract: This thesis presents a new feature extraction method aiming at recognizing volumetric features from the delta volume (DV), which is the material difference between the part and the stock. The volumetric feature can then be used for feature-based tool path generation directly. To this end, the DV is firstly decomposed into accessible delta volumes (ADVs) along all possible tool approach directions (TADs). The ADVs along each TAD are then decomposed into individual volumetric features (drilling, 2.5D milling, and 3D milling) in which feature interaction problems are resolved and a feasible removal sequence is also established. The proposed algorithm allows multiple feature interpretations with valid manufacturability. Finally, the proposed method has been implemented and case studies show that it is able to handle complicate realistic parts that can be produced using a 3-axis machining centre and there is no limitation in the shape of final part and stock.
URI: http://scholarbank.nus.edu.sg/handle/10635/15927
Appears in Collections:Master's Theses (Open)

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