Removal of blends from boundary representation models

Venkataraman, Sashikumar; Sohoni, Milind; Rajadhyaksha, Rahul

doi:10.1145/566282.566297

Cited by 25 publications

(13 citation statements)

References 7 publications

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“…There are dimension reduction methods (Rezayat, 1998;Donaghy et al, 2000;Sheen et al, 2010), which reduce the dimension of a shape, and feature removal methods (Venkataraman et al, 2002;Zhu and Menq, 2002;Sun et al, 2009), which remove the small or unnecessary features of a shape. In dimension reduction methods, thin-walled solids are converted into faces by extracting the mid-surfaces, and long cylindrical solids are converted into edges.…”

Section: Related Workmentioning

confidence: 99%

CAD model simplification using feature simplifications

Yoon

Kim²

2016

JAMDSM

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Section: Related Workmentioning

confidence: 99%

CAD model simplification using feature simplifications

Yoon

Kim²

2016

JAMDSM

View full text Add to dashboard Cite

“…Finding sequences of blend features in an initial shape is relevant to FE preprocessing. Regarding blends removal, Zhu and Menq [17] and Venkataraman [18] detect and classify fillet/round features in order to create a suppression order and remove them from a CAD model. These operations can contribute to the identification of steps of a construction tree.…”

Section: Related Workmentioning

confidence: 99%

“…Category 2 blends are not yet addressed and are left for future work. Prior work in this field [18,17,30] can be used to derive the object to be analyzed from the initial object, possibly with user's interactions. In summary, all reference primitives considered here are generated from a sketch step in a plane defining at least one closed contour.…”

Section: Modeling Context and Process Hypothesesmentioning

confidence: 99%

Extraction of generative processes from B-Rep shapes and application to idealization transformations

Boussuge

Léon²,

Hahmann³

et al. 2014

Computer-Aided Design

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International audienceA construction tree is a set of shape generation processes commonly produced with CAD modelers during a design process of B-Rep objects. However, a construction tree does not bring all the desired properties in many configurations: dimension modifications, idealization processes, etc. Generating a non trivial set of generative processes, possibly forming a construction graph, can significantly improve the adequacy of some of these generative processes to meet user's application needs. This paper proposes to extract generative processes from a given B-rep shape as a high-level shape description. To evaluate the usefulness of this description, finite element analyses (FEA) and particularly idealizations are the applications selected to evaluate the adequacy of additive generative processes. Non trivial construction trees containing generic extrusion and revolution primitives behave like well established CSG trees. Advantageously, the proposed approach is primitive-based, which ensures that any generative process of the construction graph does preserve the realizability of the corresponding volume. In the context of FEA, connections between idealized primitives of a construction graph can be efficiently performed using their interfaces. Consequently, generative processes of a construction graph become a high-level object structure that can be tailored to idealizations of primitives and robust connections between them

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“…Automatic blend features removal, and more precisely finding sequences of blend features in an initial shape, are relevant to FE preprocessing. Regarding blends removal, Zhu and Menq [23] and Venkataraman [22] detect and classify fillet/round features in order to create a suppression order and remove them from a CAD model. In FEM, automatic decomposition of mechanical parts into hex meshable sub-regions create positive feature decompositions.…”

Section: Prior Workmentioning

confidence: 99%

Idealized Models for FEA Derived from Generative Modeling Processes Based on Extrusion Primitives

Boussuge

Léon

Hahmann

et al. 2014

Proceedings of the 22nd International Meshing Roundtable

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Abstract. Shape idealization transformations are very common when adapting a CAD component to FEA requirements. Here, an idealization approach is proposed that is based on generative shape processes used to decompose an initial B-Rep object, i.e. extrusion processes. The corresponding primitives form the basis of candidate sub domains for idealization and their connections conveyed through the generative processes they belong to, bring robustness to set up the appropriate connections between idealized sub domains. Taking advantage of an existing construction tree as available in a CAD software does not help much because it may be complicated to use it for idealization processes. Using generative processes attached to an object that are no longer reduced to a single construction tree but to a graph containing all non trivial construction trees, is more useful for the engineer to evaluate variants of idealization. From this automated decomposition, each primitive is analyzed to define whether it can idealized or not. Subsequently, geometric interfaces between primitives are taken into account to determine more precisely the idealizable sub domains and their contours when primitives are incrementally merged to come back to the initial object.

show abstract

Removal of blends from boundary representation models

Cited by 25 publications

References 7 publications

CAD model simplification using feature simplifications

CAD model simplification using feature simplifications

Extraction of generative processes from B-Rep shapes and application to idealization transformations

Idealized Models for FEA Derived from Generative Modeling Processes Based on Extrusion Primitives

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