Feature-based design for process planning of machining processes with optimization using genetic algorithms

2005 ◽  
Vol 43 (18) ◽  
pp. 3855-3887 ◽  
Author(s):  
D. Kingsly Jeba Singh * ◽  
C. Jebaraj
Keyword(s):  
Genetic Algorithms ◽  
Process Planning ◽  
Machining Processes ◽  
Feature Based ◽  
Feature Based Design

Integrated Feature Modeller for Certain Manufacturing Processes

2005 ◽  
Author(s):  
C. Jebaraj ◽  
D. Kingsly Jeba Singh
Keyword(s):  
Process Planning ◽  
Cutting Tools ◽  
Manufacturing Processes ◽  
Second Phase ◽  
Optimal Sequence ◽  
Planning Stage ◽  
System Maps ◽  
Feature Based ◽  
Manufacturing Applications ◽  
Feature Based Design

This work explains the development of an integrated modeler, which is applied in the design-to-manufacturing stages of manufacturing processes namely machining, sheet metal processing and forging. Its system architecture is broadly divided into four modules namely, Feature Based Design (FBD), Virtual Factory Environment (VFE), Process Based Feature Mapping (PBFM) and Process Planning (PP). Feature based design is used for the design, modeling, synthesis, representation and validation of the components for manufacturing applications. New set of features namely integrated features are pre-defined as feature templates and instanced to get / derive the information required for the design-to-manufacturing stages of the components. VFE defines the factory, which provides the database for operations, machines, cutting tools, work pieces etc. The knowledge base of the developed system maps validated features of the component into operation sets in the first phase of the PBFM. Each operation in the operation sets can be executed using different machines and tools in a factory. All these possible choices are obtained in the second phase of PBFM. Genetic algorithm is used to find the optimal sequence of operations, machines and tools for different criteria in the process planning stage. This paper explains the developed system with case studies.

Integration of Feature Based Design and Feature Recognition

1995 ◽  
Author(s):  
JungHyun Han ◽  
Aristides A. G. Requicha
Keyword(s):  
Artificial Intelligence ◽  
Process Planning ◽  
Feature Recognition ◽  
Uncertain Reasoning ◽  
Machining Features ◽  
Artificial Intelligence Techniques ◽  
On Demand ◽  
Machined Parts ◽  
Feature Based ◽  
Feature Based Design

Abstract Process planning for machined parts typically requires that a part be described through machining features such as holes, slots and pockets. This paper presents a novel feature finder, which automatically generates a part interpretation in terms of machining features, by utilizing information from a variety of sources such as nominal geometry, tolerances and attributes, and design features. The feature finder strives to produce a desirable interpretation of the part as quickly as possible. If this interpretation is judged unacceptable by a process planner, alternatives can be generated on demand. The feature finder uses a hint-based approach, and combines artificial intelligence techniques, such as blackboard architecture and uncertain reasoning, with the geometric completion procedures first introduced in the OOFF system previously developed at USC.

A Case Retrieving System for Machining Processes of Axisymmetric Parts Based on Geometric Indexing and Process Hierarchical Structure

1998 ◽  
Author(s):  
Hsin-chi Chang ◽  
Wen F. Lu ◽  
Xiaoqing Frank Liu
Keyword(s):  
Hierarchical Structure ◽  
Process Planning ◽  
Global Market ◽  
Machining Process ◽  
Manufacturing Processes ◽  
Machining Processes ◽  
Similarity Metric ◽  
The Core ◽  
Feature Based ◽  
Cutting Processes

Abstract To develop a new machining process plan in the competitive global market, one effective way is to retrieve a relevant case similar to the new desired case and then adapt it to meet the new situations. This paper proposes a retrieving system for process planning cases from two aspects — the representation and manufacturing processes of a part. The core of the retrieving system contains 1) the feature-based representation of a part, 2) indexing of a part based on two-dimensional peripheral indexing and feature indexing, 3) a hierarchical structure of cutting processes from part cutting history, 4) a similarity metric. The similarity metric is used to measure the similarity between the new desired part and one old case based on the indexes of the parts. The application domain here is the process planning for axisymmetric parts. The proposed retrieving system is implemented in a Sun workstation using ACIS 3D-Toolkit and C++.

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