Development of High-Speed Cutting Database System with Hybrid Intelligent Reasoning

Ke Jun Xiang; Zhan Qiang Liu; Xing Ai

doi:10.4028/www.scientific.net/KEM.315-316.696

Paper Titles

Influence of Tooling Parameters in High-Speed Milling of Hardened Steels
p.676

Deducing the Coefficient of Non-Free Cutting of Major Cutting Edges of a Standard Twist Drill
p.681

Microstructure and Property of Nickel Electroformed Using Rotating Cathode in Hard Particles
p.686

Quality Testing for Pressed Raised Character on Metal Label Using GRBF Networks
p.691

Development of High-Speed Cutting Database System with Hybrid Intelligent Reasoning
p.696

Study on Dry Electrical Discharge Assisted Profile Truing and Dressing of Diamond Wheel
p.701

Effect of Sintering Temperature on the Mechanical Properties of Rare Earth Oxides Toughened Cermet Tool Materials
p.706

Nanometer Positioning System Based on Ball Screw
p.710

Study on the Adhering Disrepair and Groove Optimization of Cutting Tools for Difficult-to-Machine Materials
p.715

HomeKey Engineering MaterialsKey Engineering Materials Vols. 315-316Development of High-Speed Cutting Database System...

Development of High-Speed Cutting Database System with Hybrid Intelligent Reasoning

Abstract:

First, the problems in cutting database are analyzed and primary factors that should be considered in establishing high-speed cutting database are pointed out, including data presenting modes, data collecting and updating, the intelligence of the database, and the integration with CAD, CAPP and CAM. Secondly, high-speed cutting system is analyzed. On the basis of the categorization of the variables, the function model and the information model of cutting database are set up, which leads to the establishment of the architecture of high-speed cutting database. Finally, the combination mechanism of the rule-based reasoning and the case-based reasoning is analyzed and the process of the hybrid reasoning is given.