Recognition of rough machining features in 2D components

Xu, Xun; Hinduja, S.

doi:10.1016/s0010-4485(97)00090-0

Cited by 49 publications

(14 citation statements)

References 35 publications

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“…However, feature recognition mainly focuses on detecting information needed to manufacture a solid model, such as holes, slots and pockets [4,17,24]. More closely related to our method are feature recognition techniques which try to construct feature volumes for such applications as tool accessibility analysis and process planning [2,6,18,19,20,26,27,28,29].…”

Section: Related Workmentioning

confidence: 99%

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Constructing Regularity Feature Trees for Solid Models

Langbein

Martin

2006

Geometric Modeling and Processing - GMP 2006

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Abstract. Approximate geometric models, e.g. as created by reverse engineering, describe the approximate shape of an object, but do not record the underlying design intent. Automatically inferring geometric aspects of the design intent, represented by feature trees and geometric constraints, enhances the utility of such models for downstream tasks. One approach to design intent detection in such models is to decompose them into regularity features. Geometric regularities such as symmetries may then be sought in each regularity feature, and subsequently be combined into a global, consistent description of the model's geometric design intent. This paper describes a systematic approach for finding such regularity features based on recovering broken symmetries in the model. The output is a tree of regularity features for subsequent use in regularity detection and selection. Experimental results are given to demonstrate the operation and efficiency of the algorithm.

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Section: Related Workmentioning

confidence: 99%

“…Similar ideas have been applied to create feature volumes from feature face-sets [2,19,20,29]. The latter have to be detected or are sometimes assumed to be provided in advance, reducing the complexity of the problem.…”

Section: Related Workmentioning

confidence: 99%

Constructing Regularity Feature Trees for Solid Models

Langbein

Martin

2006

Geometric Modeling and Processing - GMP 2006

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“…·Slot: a rectangular slot. ·And more types: there are many papers dealing with prismatic-type features (Han 1998, Lee 1998, and Xu 1998. …”

Section: ) Prismatic Type Machining Featuresmentioning

confidence: 99%

A Hierarchical CAPP System Architecture for Die Cavity Machining

Ko¹,

Kim

Kim³

et al. 2003

IFIP Advances in Information and Communication Technology

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Abstract:This paper proposes a hierarchical CAPP (computer automated process planning) system architecture for die cavity machining. The CAPP system structure has been developed on the basis of the current practices of die cavity machining and is composed of five modules -Form EDM, Clean-up, Finish, Semi-finish, and Roughing planning. The individual CAPP modules are connected in a sequential manner. They are identical in structure and each module consists of four sub-functions forJeature extraction, process planning, machined surface update, and NC-code generation. Input to the CAPP system are 1) a CAD model of the die surface geometry, 2) the geometry of the raw stock, and 3) a set of available cutting tools with machinability data. Output from the CAPP system is a set of NC-codes. A process plan example, which is generated by a prototype CAPP system developed on the proposed structure, shows that the proposed CAPP architecture is practical and valid in the die cavity machining.

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“…The recognition of simple features has been a major topic in this area and the problem has been solved rather thoroughly (Meeran & Pratt, 1993;Xu & Hinduja, 1998). However, recognition of composite features, which result from interaction of simple features, is not yet solved completely (Perng & Cheng, 1997;Tseng & Joshi, 1994).…”

Section: Introductionmentioning

confidence: 99%