scholarly journals T-Spline Surface Toolpath Generation Using Watershed-Based Feature Recognition

2020 ◽  
Vol 10 (19) ◽  
pp. 6790
Author(s):  
Yazui Liu ◽  
Gang Zhao ◽  
Pengfei Han
Keyword(s):  
Feature Recognition ◽  
Machining Process ◽  
Freeform Surface ◽  
Local Refinement ◽  
Surface Machining ◽  
Spline Surface ◽  
Toolpath Generation ◽  
Comparison Results ◽  
Bounding Boxes ◽  
Freeform Surface Machining

The freeform surface is treated as a single machining region for most traditional toolpath generation algorithms. However, due to the complexity of a freeform surface, it is impossible to produce a high-quality surface using one unique machining process. Hence, region-based methods are widely investigated for freeform surface machining to achieve an optimized toolpath. The Non-Uniform Rational B-spline Surface (NURBS) represented freeform surface is not suitable for region-based toolpath generation because of the surface gaps caused by NURBS trimming and merging operations. To solve the limitation of the NURBS, T-spline is proposed with the advantages of being gap-free, having less control points, and local refinement, which is an ideal tool for region-based toolpath generation. Thus, T-spline is introduced to represent a freeform surface for its toolpath generation in the paper. A region-based toolpath generation method for the T-spline surface is proposed based on watershed technology. Firstly, watershed-based feature recognition is presented to divide the T-spline surface into a set of sub-regions. Secondly, the concept of a PolyBoundingBox that consists of a set of minimum bounding boxes is proposed to describe the sub-regions, and Manufacturing-Suitable Regions are constructed with the help of T-spline local refinement and the PolyBoundingBox. In the end, an optimized multi-rectangles toolpath generation algorithm is applied for sub-regions. The proposed method is tested using three synthetic T-spline surfaces, and the comparison results show the advantage in toolpath length and toolpath reversing number.

Research on 3D Model Processing Technologies in the Application of Freeform Surface Machining

2014 ◽  
Vol 1017 ◽  
pp. 281-286
Author(s):  
Jiang Zhu ◽  
Tomohisa Tanaka ◽  
Yoshio Saito
Keyword(s):  
3D Model ◽  
The Other ◽  
Machining Process ◽  
Freeform Surface ◽  
Automated Manufacturing ◽  
Processing Technologies ◽  
Surface Machining ◽  
Cad Cam ◽  
Freeform Surface Machining ◽  
Cam Systems

Currently CAD/CAM systems have become more and more common in automated manufacturing to enhance the accuracy and efficiency of machining process. On the other hand, 3D model processing technologies has long been researched in computer graphics (CG) fields. However, few algorithms were designed for the application of machining and manufacturing. In this paper, the current researches about the 3D model processing technologies in the application of freeform surface machining were introduced. These researches take the advantage of 3D model processing technology, and focus on the application of machining and manufacturing. They provide a new methodology to enhance the intelligence of the CAM, and improve the integration of CAD and CAM.

Recognition of Freeform Surface Machining Features

2010 ◽  
Vol 10 (4) ◽  
Author(s):  
Jun Wang ◽  
Zhigang Wang ◽  
Weidong Zhu ◽  
Yingfeng Ji
Keyword(s):  
Critical Points ◽  
Computer Aided Design ◽  
Tool Path ◽  
Machining Process ◽  
Freeform Surface ◽  
Critical Surface ◽  
Machining Features ◽  
Computer Aided ◽  
Freeform Surface Machining ◽  
Machining Process Planning

This paper describes a method of machining feature recognition from a freeform surface based on the relationship between unique machining patches and critical points on a component’s surface. The method uses Morse theory to extract critical surface points by defining a scalar function on the freeform surface. Features are defined by region growing between the critical points using a tool path generation algorithm. Several examples demonstrate the efficiency of this approach. The recognized machining features can be directly utilized in a variety of downstream computer aided design/computer aided manufacturing (CAM) applications, such as the automated machining process planning.

A surface based approach to recognition of geometric features for quality freeform surface machining

2004 ◽  
Vol 36 (8) ◽  
pp. 735-744 ◽  
Author(s):  
Xingquan Zhang ◽  
Jie Wang ◽  
Kazuo Yamazaki ◽  
Masahiko Mori
Keyword(s):  
Freeform Surface ◽  
Geometric Features ◽  
Surface Machining ◽  
Freeform Surface Machining

Machining Feature Recognition for Cast Then Machined Parts

1999 ◽  
Author(s):  
Yong Se Kim ◽  
Eric Wang
Keyword(s):  
Feature Recognition ◽  
Machining Process ◽  
Recognition Method ◽  
Machining Features ◽  
Surface Machining ◽  
Sufficient Detail ◽  
Machined Parts ◽  
Machining Operations ◽  
Machining Process Planning ◽  
Part Model

Abstract We present a method to recognize machining features for the domain of cast-then-machined parts. Non-interacting volumetric machining features are recognized through a face pattern based recognition approach, and are filtered out of the part model. From the filtered part model and the specification of part surfaces as being cast or machined, we systematically generate the surface machining features and the starting workpiece, which represents the casting output in sufficient detail to support machining process planning. By subtracting the filtered part from its starting workpiece, we obtain the removal volume that is to be realized through machining operations. We apply the feature recognition method using Alternating Sum of Volumes With Partitioning (ASVP) Decomposition to decompose this removal volume into volumetric machining features.

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