Abstract
Many approaches have been proposed in previous such as AUTOFEAT algorithm, feature recognition, Intelligent Feature Recognition Methodology (IFRM), a part recognition algorithm and graph theory-based approach in order to solve the integration issue between CAD and CAM. However, there is no direct connection from CAD database and machine database. Therefore, comparison among the approaches has been conducted because to recognize the suitable approach is the importance tasks before this research can be proceed for the next stage. This study focused on CAD data extraction approach to identify product information. CAD data referred as Computer-Aided Design (CAD) data extracted from the CAD drawing which contained the drawing of product that be produce by manufacturing. CAD data consisted of geometric and non-geometric data. Geometric data contained lines, curves and vertex. While non-geometric data include texts, colors and layers. The extracted CAD data were needed to generate the product information which is useful information for the machine in production field to produce the product for the manufacturing same as depicted in the CAD drawing. Basically, the product information consisted of product details such as length, thickness, wideness and radius of the product, processes information for the machine to process the product such as taper, cutting, drilling and punching. In addition, product information also contained type of materials for the product. As a result, feature recognition is the most suitable approach can be applied for this research. Thus, the approach was selected to precede the next stage. Conclusion from the comparison among the approaches is in term of accuracy of extracted data is not accurate when the drawing is incomplete drawing or contains the noise such as unwanted lines or any shapes cross the object in the drawing.
Highlights
In Computer-Aided Design (CAD)/CAM application machine directly depend on product information to produce the product
The research tested the proposed algorithm on CAD drawings, where the algorithm shows that it is capable in extracting geometry and nongeometry information and all of the information is stored inside a structured database
The aim of this study is to develop of a suitable representation in terms of topological and geometrical data as input to part recognition algorithm and to recognize the parts designed in a CAD drawing through an expert system
Summary
In CAD/CAM application machine directly depend on product information to produce the product. Not all CAD drawing can be extracted. There is a certain situation where CAD drawing cannot be extracted because of noise and incomplete drawing. AUTOFEAT algorithm to extract the geometry and non-geometry information from CAD drawing has been proposed by Prabhu et al.[1]. The proposed algorithm solves the problem on how to extract non-geometry information and how to organize the extracted geometry and non-geometry information inside the database. According to Nafis et al.[2], among the nongeometry information in CAD drawing are dimensions, text and labels. The research tested the proposed algorithm on CAD drawings, where the algorithm shows that it is capable in extracting geometry and nongeometry information and all of the information is stored inside a structured database
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