A constraint-based operation sequencing for a knowledge-based process planning

2004 ◽  
Vol 15 (4) ◽  
pp. 463-470 ◽  
Author(s):  
Cevdet Göloğlu
Keyword(s):  
Process Planning ◽  
Operation Sequencing ◽  
Knowledge Based

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.

A Hybrid Approach to Computer-Aided Process Planning for Prismatic Parts

1994 ◽  
Author(s):  
Y. F. Zhang ◽  
A. Y. C. Nee ◽  
J. Y. H. Fuh
Keyword(s):  
Process Planning ◽  
Hybrid Approach ◽  
Optimization Method ◽  
Optimal Operation ◽  
Operation Sequencing ◽  
Computer Aided Process Planning ◽  
Prismatic Parts ◽  
Minimum Number ◽  
Set Up

Abstract One of the most difficult tasks in automated process planning is the determination of operation sequencing. This paper describes a hybrid approach for identifying the optimal operation sequence of machining prismatic parts on a three-axis milling machining centre. In the proposed methodology, the operation sequencing is carried out in two levels of planning: set-up planning and operation planning. Various constraints on the precedence relationships between features are identified and rules and heuristics are created. Based on the precedence relationships between features, an optimization method is developed to find the optimal plan(s) with minimum number of set-ups in which the conflict between the feature precedence relationships and set-up sequence is avoided. For each set-up, an optimal feature machining sequence with minimum number of tool changes is also determined using a developed algorithm. The proposed system is still under development and the hybrid approach is partially implemented. An example is provided to demonstrate this approach.

Intelligent Process Planning Implemented As an Integrated Module of CIM

1997 ◽  
Author(s):  
Dusan N. Sormaz ◽  
Behrokh Khoshnevis
Keyword(s):  
Process Planning ◽  
Search Algorithm ◽  
Computer Integrated Manufacturing ◽  
Planning System ◽  
Process Selection ◽  
Process Sequencing ◽  
Knowledge Based ◽  
Completion Process ◽  
Integrative Process ◽  
The One

Abstract In this paper we describe an architecture of a new integrative process planning system as a part of computer integrated manufacturing research system. The process planning procedure is comprised of three phases: feature completion, process selection and process sequencing. We applied a knowledge-based approach to feature completion and process selection, and the space search algorithm for process sequencing. Description of these phases is provided and underlying knowledge representation explained. Integration between the process planning, on the one side, and CAD and scheduling, on the other, is discussed. System implementation has been described and several examples of the system execution are shown.

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