Automatic 3D machining feature extraction from 3D CSG solid input

Perng, Der‐Baau; Chen, Z.; Li, R.-K.

doi:10.1016/0010-4485(90)90093-r

Cited by 84 publications

(18 citation statements)

References 5 publications

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“…The academic research community seems to concentrate entirely on advanced multi-axis NC machining and NC verification. Furthermore, a growing number of researchers work on higher level path planning by means of solid models and form features (Choi et al 1984(Choi et al , 1985Parkinson 1986;Genord et al 1988;Ansaldi et al 1989;Ranta et al 1989;Perng et al 1990). In the following paragraphs we review major contributions to the theory of pocket machining.…”

Section: Prior and Related Workmentioning

confidence: 98%

A geometry-based investigation of the tool path generation for zigzag pocket machining

Held

1991

The Visual Computer

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We present a detailed description of a zigzag algorithm for pocket machining. The algorithm is capable of computing correct zigzag tool paths for multiply-connected planar areas ("pockets") bounded by a wide class of curves. It features a number of optimizations with respect to geometrical and technological objectives. In particular, a near-optimum inclination of the tool path is automatically determined. The underlying geometric principles are simple enough to allow the algorithm to be included in a numerical control computer.

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Section: Prior and Related Workmentioning

confidence: 98%

A geometry-based investigation of the tool path generation for zigzag pocket machining

Held

1991

The Visual Computer

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“…Recently, Perng et al [1990] also developed an algorithm for automatic feature recognition from the CSG tree representation. In this technique, the CSG representation is first transformed into a different hierarchical volumetric representation called destructive solid geometry (DSG).…”

Section: Computing Surveysmentioning

confidence: 99%

“…Earlier research work in this field includes Burn [1991], which derives feature data from drawings and uses them in the construction of a CSG solid model of a part, and Perng [1988], which develops an algorithm for automatic 3D machining feature recognition. Other research has tackled the feature-recognition problem for rotational parts.…”

Section: Afr From 2d Engineering Drawingsmentioning

confidence: 99%

Machine interpretation of CAD data for manufacturing applications

Marefat

1997

ACM Comput. Surv.

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Machine interpretation of the shape of a component from CAD databases is an important problem in CAD/CAM, computer vision, and intelligent manufacturing. It can be used in CAD/CAM for evaluation of designs, in computer vision for machine recognition and machine inspection of objects, and in intelligent manufacturing for automating and integrating the link between design and manufacturing. This topic has been an active area of research since the late '70s, and a significant number of computational methods have been proposed to identify portions of the geometry of a part having engineering significance (here called "features").1 However, each proposed mechanism has been able to solve the problem only for components within a restricted geometric domain (such as polyhedral components), or only for components whose features interact with each other in a restricted manner. The purposes of this article are to review and summarize the development of research on machine recognition of features from CAD data, to discuss the advantages and potential problems of each approach, and to point out some of the promising directions future investigations may take. Since most work in this field has focused on machining features, the article primarily covers those features associated with the manufacturing domain. In order to better understand the state of the art, methods of automated feature recognition are divided into the following categories of methods based on their approach: graphbased, syntactic pattern recognition, rule-based, and volumetric. Within each category we have studied issues such as the definition of features, mechanisms developed for recognition of features, the application scope, and the assumptions made. In addition, the problem is addressed from the perspective of information input requirements and the advantages and disadvantages of boundary representation, constructive solid geometry (CSG), and 2D drawings with respect to machine recognition of features are examined. Emphasis is placed on the mechanisms for attacking problems associated with interacting features.

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“…Several feature recognition systems have been developed (e.g. Henderson and Chang, 1988;Kumar et al, 1988;Billo et al, 1989;Anderson and Chang, 1990;Chung et al, 1990;Perng et al, 1990;Sakurai and Gossard, 1990).…”

Section: Introductionmentioning

confidence: 99%

Finished part modelling in a computer-aided process-planning system

Gülesın

1996

J Intell Manuf

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Computer-aided process planning (CAPP) is the vital link between design and manufacturing. An expert process-planning system called EPPSU has been developed to automate process planning and fixturing activities. The process planning system employs forward planning: i.e. it begins with the blank part and applies operations for each face/feature until it reaches the finished part model. After each operation the machined region is removed and a new intermediate model is generated. A part model description scheme called FONG has been utilized to represent blank, finished and intermediate models within the database. This paper explains finished part modelling within the process-planning system.

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Automatic 3D machining feature extraction from 3D CSG solid input

Cited by 84 publications

References 5 publications

A geometry-based investigation of the tool path generation for zigzag pocket machining

A geometry-based investigation of the tool path generation for zigzag pocket machining

Machine interpretation of CAD data for manufacturing applications

Finished part modelling in a computer-aided process-planning system

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