Study of Knowledge-Based Engineering (KBE) Technology for the Cutting of Large Containers

Yu Quan Chen; Zhen Jia Li; Jin Xing Guo; A.M. An

doi:10.4028/www.scientific.net/AMM.10-12.817

Paper Titles

Material Constitutive Model of 2Cr13 for FEA of Chip Formation Process
p.796

Tolerance Optimal Design System Development and Application Based on UG Quick Stack Module
p.801

Model Research on Special Metal Cutting NC Machine Tool
p.806

On-Line Error Measurement Based on CCD in Quick-Point Grinding of Curve Parts
p.812

Study of Knowledge-Based Engineering (KBE) Technology for the Cutting of Large Containers
p.817

Research on Material Removal Algorithm Model in Virtual Milling Process Based on Adaptive Dynamic Quadtrees Algorithm
p.822

Development of Surface Image Scanning Device Measurement Head Mechanism Based on AFM
p.828

Adaptive Quadrangular Segmentation of Triangle Meshes
p.833

Research on Product Development Process Management for Virtual Enterprise
p.838

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 10-12Study of Knowledge-Based Engineering (KBE)...

Study of Knowledge-Based Engineering (KBE) Technology for the Cutting of Large Containers

Abstract:

The combination of metal cutting theory, computer technology and expert knowledge was used to study the use of knowledge-based engineering (KBE) for cutting large containers. This report includes information on the acquirement, expression, and inference and management of KBE. The structure of the KBE system was established by selecting the principles of processing parameters and optimizing the model of machining data and by using the method of expressing knowledge of combining producing type with frame type and by using the software SQL server 2000. The inferential mechanism of every functional module in the system was realized by applying the software, VC++ 6.0. The KBE technology will help technicians to share expert knowledge and experience, and to optimize cutting parameters to intellectualize cutting design and machining.