A Decomposition Methodology for Machining Feature Extraction

2000 ◽  
Author(s):  
Madhumati M. Ramesh ◽  
Derek Yip-Hoi ◽  
Debasish Dutta
Keyword(s):  
Feature Extraction ◽  
Process Planning ◽  
Decomposition Method ◽  
Complex Geometry ◽  
Solid Modeling ◽  
Automatic Method ◽  
Machining Features ◽  
Computer Aided Process Planning ◽  
Mechanical Parts ◽  
Computer Aided

Abstract Many applications such as computer aided process planning require an interpretation of the complex geometry of a mechanical part in terms of simpler local shapes such as machining features. Decomposition of non-polyhedral parts is difficult as compared to that of polyhedrons, but mechanical parts are seldom polyhedral. A decomposition method that makes use of primitives for planar and cylindrical faces of parts is presented in this paper. A semi-automatic method for mapping the resulting shapes to library-features is also presented. The proposed method for decomposition and mapping is simple, intuitive and easy to implement using standard geometric and solid modeling operators.

Machining Process Evaluation Indices for Developing a Computer Aided Process Planning System

2017 ◽  
Vol 11 (2) ◽  
pp. 242-250 ◽  
Author(s):  
Kenta Koremura ◽  
◽  
Yuki Inoue ◽  
Keiichi Nakamoto
Keyword(s):  
Process Evaluation ◽  
Process Planning ◽  
Manufacturing Industry ◽  
High Efficiency ◽  
Machining Process ◽  
Planning System ◽  
Machining Features ◽  
Computer Aided Process Planning ◽  
Study Results ◽  
Computer Aided

In the manufacturing industry, there is an urgent need to shorten the manufacturing lead time of products. Therefore, optimizing process planning is essential to realize high efficiency machining. In this study, in order to develop a computer aided process planning (CAPP) system using previously proposed machining features, a prediction method for some process evaluation indices is proposed. Many candidates for the machining process exist, depending on the recognized machining features in a previous study. Therefore, by using these indices, operators can select a suitable process from among these candidates according to their ideas. Case studies of process planning are conducted to confirm that the operator’s strategy affects the selection of the machining process candidates. From the case study results, it is found that the proposed process evaluation indices have potential use in determining the machining process utilized, and are suitable for a flexible CAPP system of multi-tasking machine tools.

Feature Based Shape Similarity Measurement for Retrieval of Mechanical Parts

2001 ◽  
Vol 1 (3) ◽  
pp. 245-256 ◽  
Author(s):  
Madhumati Ramesh ◽  
Derek Yip-Hoi ◽  
Debasish Dutta
Keyword(s):  
Process Planning ◽  
Decomposition Method ◽  
Manufacturing Industry ◽  
Similarity Measurement ◽  
Shape Similarity ◽  
Machining Features ◽  
Mechanical Parts ◽  
Shape Comparison ◽  
Feature Based ◽  
Minimal Cells

Exploiting shape similarities amongst parts for applications such as variant process planning is well known in the manufacturing industry. This particular application requires a mechanism for retrieval of similar parts from a part database which in turn requires a method for shape similarity measurement. In this paper, such a method is presented. First, the part is decomposed into simpler shapes resembling machining features. The decomposition method makes use of primitives to generate the shapes directly unlike previous methods in which the shapes are produced by combining minimal cells. Next, part characteristics that capture the spatial and dimensional relationships amongst features are used to measure the similarity. These characteristics are relevant to machining and they complement the characteristics such as feature type and feature intersections that are used by the previous shape comparison techniques. Implementation and examples are also included.

3D Machining Process Planning Based on Machining Feature Recognition Technique

2014 ◽  
Vol 945-949 ◽  
pp. 127-136 ◽  
Author(s):  
Chao Liang ◽  
Xu Zhang ◽  
Qing Zhang
Keyword(s):  
Knowledge Base ◽  
Process Planning ◽  
Feature Recognition ◽  
Boundary Representation ◽  
Process Chain ◽  
Machining Features ◽  
Computer Aided Process Planning ◽  
Machining Feature ◽  
Computer Aided ◽  
Recognition Technique

In the model-based definition (MBD) scheme, activities of process planning need to be carried out in 3D environment. To realize the 3D computer-aided process planning (3D CAPP), the design solid model needs to be transferred into a representation as manufacturing features, features’ process requirement and product manufacturing information (PMI), and then the generative process planning techniques can be realized by inferring machining operations based machining feature knowledge base. A machining feature-based 3D computer-aided process planning approach is proposed for machining part. Design model is transferred into boundary representation (B-Rep). According to a machining features classification scheme, hybrid machining feature recognition technique is introduced. A part process information model is generated including machining features, feature relationship, feature’s process chain. For each recognized machining feature, a feature’s process chain is inferred from feature knowledge base, based on feature type, process requirements, dimension and tolerances, and the enterprise manufacturing resources. Process intermediate models corresponding to each process operation are generated automatically by applying geometry local modification operations. The complete process plan is generated and documented with detailed operation information and 3D process intermediate models. A 3D CAPP tool is developed on ACIS/HOOPS, with industrial cases to demonstrate the feasibility and applicability of proposed method.

Machining Feature-Based CAD/CAPP for STEP-NC

2014 ◽  
Vol 598 ◽  
pp. 591-594 ◽  
Author(s):  
Li Yan Zhang
Keyword(s):  
Process Planning ◽  
Manufacturing Process ◽  
Data Transfer ◽  
Operation Planning ◽  
Computer Aided Process Planning ◽  
Machining Feature ◽  
Computer Aided ◽  
Cad Cam ◽  
Feature Based ◽  
Cam Systems

ISO 14649, known as STEP-NC, is new model of data transfer between CAD/CAM systems and CNC machines. In this paper, the modeling based on machining feature is proposed. The machining feature comes from the manufacturing process considering the restriction of machining technology and machining resource. Then the framework for computer aided process planning is presented, where the algorithms of operation planning is studied. The practical example has been provided and results indicate that machining feature based model can integrate with CAPP and STEP-NC seamlessly.

An oriented feature extraction and recognition approach for concave-convex mixed interacting features in cast-then-machined parts

2018 ◽  
Vol 233 (4) ◽  
pp. 1269-1288 ◽  
Author(s):  
Haichao Wang ◽  
Jie Zhang ◽  
Xiaolong Zhang ◽  
Changwei Ren ◽  
Xiaoxi Wang ◽  
...  
Keyword(s):  
Feature Extraction ◽  
Computer Aided Design ◽  
Feature Recognition ◽  
Freeform Surface ◽  
Layer By Layer ◽  
Computer Aided Process Planning ◽  
Computer Aided ◽  
Machined Parts ◽  
Aided Design ◽  
Interacting Features

Feature recognition is an important technology of computer-aided design/computer-aided engineering/computer-aided process planning/computer-aided manufacturing integration in cast-then-machined part manufacturing. Graph-based approach is one of the most popular feature recognition methods; however, it cannot still solve concave-convex mixed interacting feature recognition problem, which is a common problem in feature recognition of cast-then-machined parts. In this study, an oriented feature extraction and recognition approach is proposed for concave-convex mixed interacting features. The method first extracts predefined features directionally according to the rules generated from attributed adjacency graphs–based feature library and peels off them from part model layer by layer. Sub-features in an interacting feature are associated via hints and organized as a feature tree. The time cost is reduced to less than [Formula: see text] by eliminating subgraph isomorphism and matching operations. Oriented feature extraction and recognition approach recognizes non-freeform-surface features directionally regardless of the part structure. Hence, its application scope can be extended to multiple kinds of non-freeform-surface parts by customizing. Based on our findings, implementations on prismatic, plate, fork, axlebox, linkage, and cast-then-machined parts prove that the proposed approach is applicable on non-freeform-surface parts and effectively recognize concave-convex mixed interacting feature in various mechanical parts.

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