An approach to recognize interacting features from B-Rep CAD models of prismatic machined parts using a hybrid (graph and rule based) technique

Sunil, V. B.; Agarwal, Rupal; Pande, S.S.

doi:10.1016/j.compind.2010.03.011

Cited by 96 publications

(45 citation statements)

References 21 publications

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“…In terms of extended attribute adjacency graphs, Li expands the properties of feature seed faces and adjacent edges, and can identify common surface features and intersecting features in aircraft structures [14].Ou used the isomorphic features of the graphs to perform subgraph matching on the basis of the subgraphs, and can identify the features of the convex and concave features [15,16]. Sunil proposed a method that can decompose more feature subgraphs [17]. These methods effectively increase the efficiency of subgraph matching.…”

Section: B Graph-based Approachesmentioning

confidence: 99%

Recent Research and Prospect on Feature Recognition of Three-dimensional Model

Shi¹,

Deng²,

Zhong³

2018

Proceedings of the 2018 3rd International Conference on Control, Automation and Artificial Intelligence (CAAI 2018)

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A feature recognition technique is the intelligent interface of CAD/CAPP. Through extracting and recognizing the tolerance and surface roughness, the design features such asholes, steps and other design features in a 3D model of parts, the CAD/CAPP can be combined efficiently, and then the CAD/CAPP/CAM system can be integrated. This technique also helps to shorten the cycle of product development, especially process preparation, and reduce the design cost. In this paper, the 3D model features recognition approaches about boundary pattern matching, volume composition, manufacturing resources, and hybridization method are reviewed, and compared in terms of identifying efficiency, identifying accuracy, identifying flexibility, machinability of features, and utilization of manufacturing resource information in a process environment is conducted on the 3D model feature recognition approaches. The main issues of machining feature recognition of the part model are also discussed, and the direction of future researches in this field is presented. It is pointed out that the development of an efficient, accurate, flexible, automatic and intelligent machining feature recognition system will become an important research topic in the field of computer integrated manufacturing in the future.

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Section: B Graph-based Approachesmentioning

confidence: 99%

Recent Research and Prospect on Feature Recognition of Three-dimensional Model

Shi¹,

Deng²,

Zhong³

2018

Proceedings of the 2018 3rd International Conference on Control, Automation and Artificial Intelligence (CAAI 2018)

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“…This approach initially built up an exhaustive hypothetical feature population, and identified genuine features out of the population based on heuristics and knowledge base rules. Sunil et al [23] also proposed a graph-and hint-based method for intersecting feature recognition from B-Rep CAD models. Both adjacent and volumetric feature interactions are considered.…”

Section: A Multiple Interpretations To Complex Parts With Intersectimentioning

confidence: 99%

Combining Dynamic Machining Feature With Function Blocks for Adaptive Machining

Liu

Wang

2016

IEEE Trans. Automat. Sci. Eng.

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Feature-based technologies are widely researched for manufacturing automation. However, in current feature models, features once defined remain constant throughout the whole manufacturing lifecycle. This static feature model is inflexible to support adaptive machining when facing frequent changes to manufacturing resources. This paper presents a new machining feature concept that facilitates responsive changes to the dynamics of machining features in 2.5/3D machining. Basic geometry information for feature construction of complex parts with various intersecting features is represented as a set of meta machining features (MMF). Optimum feature definition is generated adaptively by choosing optimum merging strategies of MMFs according to the capabilities of the selected machine tool, cutter, and cutting parameters. A composite function block for dynamic machining feature modelling is designed with Basic Machining Feature Function Block, Meta Machining Feature Extraction Function Block and Feature Interpreter Function Block. Once changes of the selected machining resources occur, they are informed as input events and machining features are then updated automatically and adaptively based on the event-driven model of function blocks. An example is provided to demonstrate the feasibility and benefits of the developed methodology.Note to Practitioners-In this paper, an important problem in most feature-based machining systems is addressed: when the selected machine tool, cutters or cutting parameters are changed due to reasons like product changeover, urgent job insertion, and broken tools, the adjustment or optimization to the machining plan is carried out based on the existing feature model. Influences of the machining resources changes to the feature model are ignored. Thus, it is impossible to get the real optimal machining result. The proposed concept of dynamic machining feature integrates the feature definition of a part to the capabilities of the selected machining resources. By applying the event-driven model of function blocks, features can be generated adaptively and automatically during the whole dynamic manufacturing lifecycle.Index Terms-Adaptive machining, dynamic feature, function block.

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“…This processor could recognize not only essential manufacturing features but also replicate, compound, and transition features defined in STEP. Sunil et al [30] proposed a hybrid approach for recognizing interacting features from B-Rep CAD models of prismatic machined parts. Additionally, this work presented a concept of Base Explicit Feature Graphs and No-base Explicit Feature Graphs to delineate between features having planar base face like pockets, blind slots, etc.…”

Section: Literature Reviewmentioning

confidence: 99%

Feature-based design approach for integrated CAD and computer-aided inspection planning

Kamrani

Nasr

Al-Ahmari

et al. 2014

Int J Adv Manuf Technol

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Coordinate-measuring machines (CMMs) have widely been utilized for performing inspections due to its high precision and accuracy. With increasing complexities of parts and tighter tolerances, there is a need of well-defined strategies and techniques to effectively plan inspection process for CMMs. The proposed work comprehensively describes different steps to generate an instruction file which can finally be executed on CMMs for efficient measurement. This work which commences with feature extraction and recognition followed by generation of probe approach directions for accessibility, setup planning to get part orientation, determination, and distribution of touch points on features including other activities leads to an effective inspection plan. The inspection plan is then used to produce DMIS file which after post-processing is executed on CMM. A series of techniques and algorithms such as clustering algorithm, graphical method, artificial neural networks, and algorithms for generation of touch points have been utilized to accomplish efficient inspection on CMM. The effectiveness of proposed strategies and techniques has also been verified through a part case study.

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An approach to recognize interacting features from B-Rep CAD models of prismatic machined parts using a hybrid (graph and rule based) technique

Cited by 96 publications

References 21 publications

Recent Research and Prospect on Feature Recognition of Three-dimensional Model

Recent Research and Prospect on Feature Recognition of Three-dimensional Model

Combining Dynamic Machining Feature With Function Blocks for Adaptive Machining

Feature-based design approach for integrated CAD and computer-aided inspection planning

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