Blend recognition algorithm and applications

Venkataraman, Sashikumar; Sohoni, Milind; Elber, Gershon

doi:10.1145/376957.376970

Cited by 30 publications

(15 citation statements)

References 6 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…To meet the objectives and hypotheses of component behavior simulation and reduce the time spent in the FEA process, it is advantageous that these details are removed. Venkataraman et al [24] presented an algorithm for detecting and removing chains of blends, where the radius is "small" compared to the FE size. Similar strategies can be used also for details such as small holes and fillets, bosses, .…”

Section: Related Workmentioning

confidence: 99%

Simplification of FEM-Models on Cell BE

Hjelmervik

Léon

2010

Mathematical Methods for Curves and Surfaces

View full text Add to dashboard Cite

Abstract. Preparing a CAD model for Finite Element (FE) analysis can be a time-consuming task, where shape and mesh simplifications play an important role. It is important that the simplified model has the same mechanical properties as the original one, and that the deviation from the original stays within a given tolerance. Most FE mesh simplification algorithms are either fully or partially sequential, and are therefore not suitable for architectures with high levels of parallelism. Furthermore, the use of processors such as GPUs of IBMs Cell BE requires algorithms to be adapted to benefit from their computational advantages. Here, we present an algorithm written for parallel processors, and its implementation for the Cell BE.

show abstract

Section: Related Workmentioning

confidence: 99%

Simplification of FEM-Models on Cell BE

Hjelmervik

Léon

2010

Mathematical Methods for Curves and Surfaces

View full text Add to dashboard Cite

show abstract

“…The commonly used EBFs have constant cross-sectional radius throughout the blend face. Many CAD systems also support variable radii for the blending (Venkataraman, Sohoni, and Elber 2001;Li et al 2009). In some commercial CAD packages, blend faces are normally called rounds or fillets.…”

Section: Introductionmentioning

confidence: 99%

Small blend suppression from B-rep models in computer-aided engineering analysis

Lai

Wong

Huynh

et al. 2016

Journal of the Chinese Institute of Engineers

View full text Add to dashboard Cite

In mechanical design, small blending is a common operation used to improve the strength and aesthetics of the workpiece. In blending operations, certain smooth faces are added to the boundary representation (B-rep) model to smooth sharp edges and vertices. These faces are termed 'blend faces. ' However, they may affect the quality of analysis; these faces should be meshed with tiny meshes, which may result in an increase in computational time and reduced accuracy of simulation results. Hence, small blend suppression is an approach for improving the quality of generated meshes. Blend suppression is a technique for reverting a blended computer-aided design model to its original unblended status. This study proposes a blend suppression algorithm for removing blend faces in computer-aided engineering (CAE) analysis. The proposed algorithm operates as follows: (1) edge blend faces and vertex blend faces are grouped individually, (2) new geometric data are computed, (3) new elements are added to the data structure of the B-rep model, (4) all data related to blend faces are deleted, and (5) all topological data in the B-rep model are updated.Several examples are presented in this paper to demonstrate the feasibility of the proposed method for blend suppression as well as its advantage in improving the quality of meshes in CAE analysis.

show abstract

“…Therefore, BFs must first be recognized, and then the topological relationship between the edges and faces of a target feature must be established. Venkataraman et al [4] clarified edge blend faces as face blend faces, and cliff blend faces as face-edge blend faces. They employed an algorithm to evaluate the curvature of smooth edges and automatically detect edge blend faces.…”

Section: Introductionmentioning

confidence: 99%

Recognition of virtual loops on 3D CAD models based on the B-rep model

Lai

Wang

You

et al. 2016

Engineering with Computers

View full text Add to dashboard Cite

B-rep model can provide effective topological data of the solid model for feature recognition analysis. The vertex, edge, and face are fundamental elements in the B-rep model. Each of these elements only records the topological data of its neighboring elements. The loop is another essential element linking all edges corresponding to a face. An outer loop always exists to record the external boundary of the face. Additional inner loops may also exist to record the inner boundaries because of holes. The loop concept can be employed in feature recognition for searching edges and faces related to the target feature. However, the current data structure of the loop in the B-rep model does not provide enough information for use in feature recognition. Therefore, a new type of loop, hereafter called a virtual loop, is necessary to fulfill the task. The aim of this study was to define and record the virtual loop in the B-rep model, and to develop algorithms in accordance with the virtual loop for the recognition of several types of features.The primary limitation of the current loop data in the B-rep model is that they are restricted to a face only. Whenever a face is sliced or divided into several faces, a new set of B-rep data must be established; all the newly generated faces are considered individual faces. In addition, the loop data are modified accordingly to reflect the new face status. Often in CAD models, a feature can be recognized in accordance with specific contours surrounding the target feature. For examples, features are generally classified as concave (e.g., features such as holes and pockets) or convex (e.g., features such as bosses, extrusions, and ribs). Finding a contour corresponding to the target feature may not be the only possible method for feature recognition, but it certainly facilitates the recognition of complex features. Many practical features do not lie on only a single face; rather, they usually lie on multiple faces, which is beyond the scope of the current loop data in the B-rep model. AbstractLoops are critical elements in boundary representation (B-rep) models because they link all edges corresponding to a face. Loops can be used in feature recognition for identifying depressions or protrusions. In real 3D CAD models, however, features typically lie across multiple faces, which is beyond the data structure of current B-rep models. This study presents a virtual loop concept to account for all loop types used in CAD models, and develops algorithms for recognizing them. In accordance with the complexity of the recognition algorithm, this study defines three types of loop: single, virtual, and multivirtual. A single loop is the current loop recorded in the B-rep model. A virtual loop lies across faces that are at least G 1 continuous. Finally, a multivirtual loop lies across faces that are either G 0 or G 1 continuous. The proposed loop structure provides a more complete data structure for recognizing various types of features in feature-recognition modules. Several realistic CAD models ar...

show abstract

Blend recognition algorithm and applications

Cited by 30 publications

References 6 publications

Simplification of FEM-Models on Cell BE

Simplification of FEM-Models on Cell BE

Small blend suppression from B-rep models in computer-aided engineering analysis

Recognition of virtual loops on 3D CAD models based on the B-rep model

Contact Info

Product

Resources

About