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.

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.

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.

Computer Aided Process Planning for Freeform Surface Sheet Metal Features in Automotive Industry

2013 ◽  
Vol 392 ◽  
pp. 931-935
Author(s):  
M.A. Saleh ◽  
H.M.A. Hussein ◽  
H.M. Mousa
Keyword(s):  
Sheet Metal ◽  
Process Planning ◽  
Cost Estimation ◽  
Data Exchange ◽  
Feature Recognition ◽  
Freeform Surface ◽  
Free Form ◽  
Computer Aided Process Planning ◽  
Computer Aided ◽  
Surface Sheet

This paper describes computer aided process planning for a freeform surface; sheet metal features. Automotive body panels are always manufactured using thin forming sheets; the developed CAPP system consists of two modules which are feature recognition module based on STEP AP203 and a process plan module; two additional modules for automotive panel CAPP system and cost estimation module are also incorporated in the system of punch and bending operation. Stamped or punched features in generative shape design are used to design automotive panels; the generative CAPP system is written in visual basic 2008 language and implemented in several case studies demonstrated in the present work. Feature recognition of punched; stamped internal features in free form surface recognized in base of data exchange files using STEP AP203 ISO-10303-21.

An ant colony approach to operation sequencing optimization in process planning

2016 ◽  
Vol 231 (3) ◽  
pp. 470-489 ◽  
Author(s):  
Quanwei Hu ◽  
Lihong Qiao ◽  
Guanwei Peng
Keyword(s):  
Ant Colony Optimization ◽  
Process Planning ◽  
Optimization Algorithm ◽  
Ant Colony ◽  
Local Optimum ◽  
Ant Colony Optimization Algorithm ◽  
Operation Sequencing ◽  
Computer Aided Process Planning ◽  
Process Plans ◽  
Computer Aided

Computer-aided process planning is an important component for linking design and manufacturing in computer-aided design/computer-aided process planning/computer-aided manufacturing integrated manufacturing systems. Operation sequencing in computer-aided process planning is one of the most essential tasks. To solve the problem and acquire optimal process plans, operation sequencing is modeled as a combinatorial optimization problem with various constraints, and a novel modified ant colony optimization algorithm is developed to solve it. To ensure the feasibility of process plans, constrained relationships considered among operations are classified into two categories called precedence constraint relationships and clustering constraint relationships. Operation precedence graph based on constrained relationships is formed to get visual representation. To ensure good manufacturing economy, in the mathematical model for optimization, total weighted production cost or weighted resource transformation time related to machine changes, setup changes, tool changes, machines and tools is utilized as the evaluation criterion. To avoid local optimum and enhance global search ability, adaptive updating method and local search mechanism are embedded into the optimization algorithm. Case studies of three parts are carried out to demonstrate the feasibility and robustness of the modified ant colony optimization algorithm, and some comparisons between the modified ant colony optimization algorithm and previous genetic algorithm, simulated annealing algorithm, tabu search and particle swarm optimization algorithm are discussed. The results show that the modified ant colony optimization algorithm performs well in the operation sequencing problem.

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