Feature Recognition Using Combined Convex and Maximal Volume Decompositions

2005 ◽  
Author(s):  
Eric Wang ◽  
Yong Se Kim ◽  
Yoonhwan Woo
Keyword(s):  
Process Planning ◽  
Feature Recognition ◽  
Recognition System ◽  
Feature Representation ◽  
Planning System ◽  
Feature Interaction ◽  
Generation Process ◽  
Maximal Volume ◽  
Volume Decomposition ◽  
Product Manufacturing

Next generation process planning systems should be capable of dealing with industrial demands of versatility, flexibility, and agility for product manufacturing. Development of process planning system is heavily dependent on feature recognition, but presently there is no satisfactory feature recognition system relying on a single method. In this paper, we describe a hybrid feature recognition method for machining features that combines three feature recognition technologies: graph-based, convex volume decomposition, and maximal volume decomposition. Based on an evaluation of the strengths and weaknesses of these methods, we integrate them in a sequential workflow, such that each method recognizes features according to its strengths, and successively simplifies the part model for the following methods. We identify two anomalous cases arising from the application of maximal volume decomposition, and discuss their cure by introducing limiting halfspaces. All recognized features are combined into a unified hierarchical feature representation, which captures feature interaction information, including geometry-based machining precedence relations.

Maximal Volume Decomposition and its Application to Feature Recognition

1995 ◽  
Author(s):  
Parag Dave ◽  
Hiroshi Sakurai
Keyword(s):  
Decomposition Method ◽  
Feature Recognition ◽  
Graph Matching ◽  
Raw Material ◽  
Maximal Volume ◽  
Object A ◽  
Finished Part ◽  
Volume Decomposition ◽  
Minimal Cells ◽  
Volume Difference

Abstract A method has been developed that decomposes an object having both planar and curved faces into volumes, called maximal volumes, using the halfspaces of the object. A maximal volume has as few concave edges as possible without introducing additional halfspaces. The object is first decomposed into minimal cells by extending the faces of the object. These minimal cells are then composed to form maximal volumes. The combinations of such minimal cells that result in maximal volumes are searched efficiently by examining the relationships among those minimal cells. With this decomposition method, a delta volume, which is the volume difference between the raw material and the finished part, is decomposed into maximal volumes. By subtracting maximal volumes from each other in different orders and applying graph matching to the resulting volumes, multiple interpretations of features can be generated.

Feature recognition within a truth maintained process planning system

1990 ◽  
Vol 3 (2) ◽  
pp. 121-132 ◽  
Author(s):  
P. J. HERBERT ◽  
C. J. HINDE ◽  
A. D. BRAY ◽  
V. A. LAUNDERS ◽  
D. ROUND ◽  
...  
Keyword(s):  
Process Planning ◽  
Feature Recognition ◽  
Planning System ◽  
Process Planning System

OSCAP: An Environment for Manufacturing Planning of Mechanical Products

1997 ◽  
Author(s):  
Zhi-Xin Yang ◽  
Ajay Joneja
Keyword(s):  
Process Planning ◽  
Feature Recognition ◽  
Recognition System ◽  
Open Architecture ◽  
Operation Sequencing ◽  
Computer Aided Process Planning ◽  
Mechanical Parts ◽  
Manufacturing Planning ◽  
Knowledge Based ◽  
Mechanical Products

Abstract This paper describes an open-architecture system for computer-aided process planning called OSCAP. The system is different in architecture from traditional integrated process planning systems, since it is designed specifically to integrate with existing partial planning software with little effort. It does provide all functions of design and process planning for machining of mechanical parts on 3-axis machining centers. Special features of the system include a sophisticated feature recognition system, an optimal machining planner, automated fixture synthesis, setup planning with operation sequencing, and a knowledge based system organizer called the OSCAP core which orchestrates the functioning of all modules. The system can be arbitrarily extended or collapsed by adding or removing functional modules.

Research on PLM-Oriented Collaboration Digital Process Planning Technology

2010 ◽  
Vol 156-157 ◽  
pp. 694-699
Author(s):  
Xiao Liang Jia ◽  
Jun Hao Geng ◽  
Li Jiang Huang
Keyword(s):  
Process Planning ◽  
Collaborative Work ◽  
Planning System ◽  
Good Effect ◽  
Manufacturing Firm ◽  
Complex Product ◽  
Aircraft Manufacturing ◽  
Process Planning System ◽  
Product Manufacturing ◽  
Collaboration Process

In order to solve problems of long product development cycle, low collaborative work efficiency in complex product manufacturing firm, the approach of PLM-oriented collaboration digital process planning is put forward. The state of arts on PLM-oriented collaboration process planning and business requirements in complex product manufacturing firms are analyzed. The advantages and needs of PLM-oriented collaboration process planning workflow in complex product manufacturing firm are described in detail. Technology architecture on PLM-oriented collaboration digital process planning is founded also. Based on the development of a PLM-oriented collaboration digital process planning system (PLM-CDPP) in an aircraft manufacturing firm, the architecture of PLM-CDPP system based on the integration of CAPPFramework and Windchill is founded. Key technologies of PLM-oriented collaboration digital process planning system framework, business pattern, workflow and integrated model are discussed in detail. PLM-CDPP system has been applied in an aircraft manufacturing firm and good effect has been shown in practical engineering application.

Representation and Mapping of Geometric Dimensions From Design to Manufacturing

1996 ◽  
Author(s):  
Jami J. Shah ◽  
Yong Yan
Keyword(s):  
Process Planning ◽  
Degrees Of Freedom ◽  
Feature Recognition ◽  
Machining Features ◽  
Design Models ◽  
Volume Decomposition ◽  
Recognition Systems ◽  
Part Dimension

Abstract This paper describes the development of a dimension model for use in both design and process planning. The model also facilitates the converting of dimensions and tolerances (D&T) from design models to machining features extracted automatically by feature recognition systems. The model is based on relative degrees of freedom of geometric entities, such as edges and faces of a part. Dimension graphs are created based on the degrees of freedom. The model allows dimension specification, dimension scheme modification, and dimension scheme validation. A methodology to automatically determine the dimensions of machining volumes obtained by volume decomposition is also described.

Boundary Representation-Based Feature Recognition

1997 ◽  
pp. 65-74
Author(s):  
Napsiah Ismail ◽  
Nooh Abu Bakar
Keyword(s):  
Process Planning ◽  
Feature Recognition ◽  
Boundary Representation ◽  
Planning System ◽  
Solid Boundary ◽  
Ongoing Research ◽  
Automated Process Planning ◽  
Process Planning System ◽  
Computer Aided ◽  
Automated Process

This paper introduces an ongoing research which is aimed at the development of an intelligent form feature extraction system from Computer Aided Design (CAD) database, a high level data structure form useful for Computer Aided Manufacturing (CAM) such as Automated Process Planning System (APPS). Part description in CAD models is the form of basic geometry and topology that is unsuitable for direct application in APPS. Furthermore, CAD software does not incorporate sufficient manufacturing specific data to be used in APPS. Therefore, feature recognition systems will provide the capabilities for bridging the gap between the CAD database and the CAM database. A solid boundary representation (B-rep) model of the part is used to describe the part. This paper concentrates on the recognition of machinable features of either depression or protrusion types to be used in Automated Process Planning System. Logical procedures were developed to recognise these features which consists of both simple and intersecting features.

Recognition of User-Defined Turning Features for Mill/Turn Parts

2007 ◽  
Vol 7 (3) ◽  
pp. 225-235 ◽  
Author(s):  
Shiqiao Li ◽  
Jami J. Shah
Keyword(s):  
Feature Recognition ◽  
Automatic Recognition ◽  
Feature Representation ◽  
Feature Interaction ◽  
Cad Model ◽  
Rule Based ◽  
Feature Interactions ◽  
Representation Language ◽  
Interacting Features ◽  
Difficult Issue

This paper focuses on efficient algorithms for automatic recognition of user-defined turning features on mill/turn parts. As with other domains, recognition of interacting features is a difficult issue because feature interaction removes faces and alters the topology of the isolated turning features. This paper presents a method for efficiently recognizing both noninteracting and interacting rotational features from CAD model of mill/turn parts. Additionally, the method supports user-defined turning features that are represented using N-REP, a neutral feature representation language. First, the profiles of the revolved faces on a mill/turn part are obtained and the unturnable portions of these profiles are detected. These profiles then are used to construct the part graph and to solve feature interactions between coaxial turning features. Finally, graph-based and rule-based feature recognition are combined to recognize user-defined features.

A Feature-Based Process Planning Approach for Fineblanking-Forming-Stamping Parts

2011 ◽  
Vol 308-310 ◽  
pp. 816-819 ◽  
Author(s):  
Yi Lin Wang ◽  
Hui Cai Long
Keyword(s):  
Process Planning ◽  
Feature Modeling ◽  
Feature Representation ◽  
Planning System ◽  
Forming Process ◽  
Design Efficiency ◽  
Knowledge Based ◽  
Planning Approach ◽  
Process Planning System ◽  
Feature Based

A feature-based process planning approach for fineblanking-forming-stamping parts is discussed in this paper. To reduce the dependence of experience designers and improve the design efficiency and quality, a prototype of feature-based process planning system has been established. The system consists of four major modules: forming process recognition, feature representation, operation sequence design and parametric feature modeling. The graph-based process recognition and feature representation methods are introduced. The knowledge-based methods are also used for process planning. An application example is illustrated.

Integration of Commercial CAD With Commercial NC Programming Packages

2000 ◽  
Author(s):  
Huikang K. Miao ◽  
Nandakumar Sridharan ◽  
Jami J. Shah
Keyword(s):  
Process Planning ◽  
Feature Recognition ◽  
Recognition System ◽  
Tool Selection ◽  
Operation Sequencing ◽  
Planning Decisions ◽  
Nc Programming ◽  
Machining Feature ◽  
Cad Cam ◽  
Geometry Engine

Abstract This paper focuses on the issues in automating the various tasks in process planning and on the issues in integrating the process-planning task with commercial CAD/CAM software. Automated process planning involves two important tasks; machining feature extraction and feature-based process planning. The integration of CAD and NC may be done by two alternative approaches: external or internal. This study uses the external approach. The CAD model of the part and the stock is exported to a format compatible with the external geometry engine. The machining feature recognition system communicates with the external geometry engine through APIs to obtain geometric and topological information required for feature recognition. The machining knowledge embedded in the recognized features is used by the process-planner to chalk out a process plan for the part. The machining features are classified into three broad categories each with machining significance specific to NC machining, so that when extracted they are useful in making process-planning decisions. Setup Planning, Operation Sequencing and Tool Selection is performed automatically based on criteria such as feature shapes, feature locations, tool access directions and feasibility of workpiece locating and clamping. The detailed process planning is based on a commercial CAD/CAM/CAE package, I-DEAS.

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