Process Planning Using Adjacency-Based Feature Extraction

McCormack, A D; Ibrahim, Raafat N

doi:10.1007/s001700200222

Cited by 27 publications

(3 citation statements)

References 11 publications

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“…It should be noted that the duplicated hints for multiple presence rules sometimes make the method ineffective. The methods of Vandenbrande and Requicha [30], McCormack and Ibrahim [15], and Sommerville et al [27] belong to this method.…”

Section: Geometric Feature Recognitionmentioning

confidence: 99%

Development of an Agile Concept for MBSE for Future Digital Products through the Entire Life Cycle Management Called Munich Agile MBSE Concept (MAGIC)

Salehi¹

2019

CAD&A

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The value of (semi-)automatically recognizing the meaningful regions on a Computer Aided Design (CAD) model is well documented and has been traditionally studied as Geometric feature recognition. However, the effective tagging of the regions, especially tagging with contextually meaningful (i.e. semantic) keywords, has been elusive. In this paper, we focus on the non-geometric aspects of the tagging problem and present a semantic tagging framework. Specifically, given the contextually augmented instances created from the unidentified regions on a CAD model, the framework tags the instances with semantic keywords defined in the semantic model. This will provide the direct link between a CAD model and semantic models, and thus allow high-level reasoning to support design and manufacturing tasks. The feasibility of the approach has been verified by applying the developed framework to tag the regions on turbine blade models. This paper concludes with the future challenges of the approach.

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Section: Geometric Feature Recognitionmentioning

confidence: 99%

Development of an Agile Concept for MBSE for Future Digital Products through the Entire Life Cycle Management Called Munich Agile MBSE Concept (MAGIC)

Salehi¹

2019

CAD&A

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“…A part or an assembly represented by the component features compiles the model feature which is an organized structure that emphasizes the dependencies between constituent features [5]. Parametric modelling method is used by the majority of the CAD systems [1,9,10], because it facilitates the adjustments of geometry of models and put into service existing designs. But, as useful the constraint based modelling method is, as disadvantageous may become for NC programming process, because of the strong dependencies between dimensions.…”

Section: Parametric and Direct Modellers And Nc Programming Processmentioning

confidence: 99%

Accurate NC Program Generation Based on New Model Editing Process

Armasoiu

2015

AMM

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This paper emphasizes the benefits of part-model editing process that does not depend on hystory-based modelling system. The use of synchronous technology in mechanical engineering applications allows the NC programmer to efficiently generate the NC program regardless the source of 3D model. The programming and machining process can be more efficient if the intuitive geometric changes on 3D model are allowed. Synchronous technology makes possible NC programmer’s intervention over 3D model geometry, without breaking the rules defined in CAD. Synchronous technology works with both, native and non-native models and it is available in NX and Solid Edge. With synchronous technology, the changes are performed with or without regard to the history of the model.

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“…By analyzing the past research, it is seen that researchers have focused on identifying the features and calculating the machinable volumes for rotational parts [5,13,20,21] using various feature recognition techniques [25] such as pattern recognition [6,7], volumetric decomposition [8,20], attributed adjacency graph [17,26], syntactic time series analysis and neural networks [22] and projective feature recognition [23]. However, only in [5,13] a distinction between rough and finish cuts has been made while developing the process plans.…”

Section: Introductionmentioning

confidence: 99%

A STEP AP 203–214-based machinable volume identifier for identifying the finish-cut machinable volumes from rough-machined parts

Anbalagan

Mehta

Jain

2008

Int J Adv Manuf Technol

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This paper presents a STEP AP203-214-based machinable volume identifier (MVI) to identify the finish-cut machinable volume in prismatic parts by deducting the rough-machined part from the final part. The MVI provides an intermediate link between rough and finish machining computer-aided process planning system for automatic generation of process plans while machining prismatic parts. To calculate the machinable volumes of manufacturing features, the MVI utilizes the output of the feature identifier which contains the information about the dimensional details, edge loops, edges, vertices, coordinate points, and location planes of the features. In this research, a total of 234 features have been considered; out of which, 32 are normal and 202 are tapered. To calculate the machinable volumes for these features, generalized methodologies are developed for 17 basic feature types, each having a varying number of specific features. Initially, the pattern strings are generated for the front and back face of the rough-machined feature and final feature. Then, MVI uses the predefined syntactic pattern strings stored in the strings database and checks with the generated strings of the feature to determine the shape of the machinable volume stored in the volumes database. After determining the shape, one relevant methodology or more (for features having combination of more than one taper) are selected from among the 17 "feature type" specific methodologies developed for finish-cut machinable volume identification. In this article, methodology is presented for one basic feature type which covers 14 features and explained through one case study. The final output from this module is stored as a text file with full dimensional details of machinable volumes for later use inside the machining planning module. The proposed MVI can be used in Computer Integrated Manufacturing Industries as an intermediate linker to achieve a robust manufacturing environment.

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Process Planning Using Adjacency-Based Feature Extraction

Cited by 27 publications

References 11 publications

Development of an Agile Concept for MBSE for Future Digital Products through the Entire Life Cycle Management Called Munich Agile MBSE Concept (MAGIC)

Development of an Agile Concept for MBSE for Future Digital Products through the Entire Life Cycle Management Called Munich Agile MBSE Concept (MAGIC)

Accurate NC Program Generation Based on New Model Editing Process

A STEP AP 203–214-based machinable volume identifier for identifying the finish-cut machinable volumes from rough-machined parts

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