A Computer-Based Intelligent System for Automatic Tool Selection

Xiao Ping Ren; Zhan Qiang Liu; Yi Wan

doi:10.4028/www.scientific.net/MSF.723.238

Paper Titles

Study on Surface Roughness in Ultrasonic High-Speed Milling of SiCp/Al Composites
p.214

Influence of Material Flow Stress on Surface Roughness in High-Speed Machining
p.219

An Integrated Approach to the Design and Analysis of an Ultra-High Speed Air-Bearing Spindle
p.227

Effect of (Ni,Mo) and (W,Ti)C on the Microstructure and Mechanical Properties of TiB₂ Ceramic Tool Materials
p.233

A Computer-Based Intelligent System for Automatic Tool Selection
p.238

Experimental Study on Orthogonal Cutting of Ti6Al4V with Surface Micro-Groove Textured Cutting Tool
p.243

Experimental Study on Nano-TiAlN Coated Carbide Tools in Turning Austenitic Stainless Steel
p.247

Measurement Method of HSK Tool Holder’s Unbalance in HSM
p.252

Development of Al₂O₃/TiC/CaF₂ Graded Self-Lubricating Ceramic Cutting Tool Materials
p.258

HomeMaterials Science ForumMaterials Science Forum Vol. 723A Computer-Based Intelligent System for Automatic...

A Computer-Based Intelligent System for Automatic Tool Selection

Abstract:

Tool selection is one of the most significant process considerations when deciding how a machined product will be manufactured. The tool selection activity is rooted in feature geometry but it also has a direct impact on machinability and machine tool performance. This paper presents a computer-based intelligent system for the automatic selection of cutting processes and tools. The main objective of the research work was to develop a procedure for the selection of cutting tools and cutting parameters. This will help the designers and manufacturing planners to select an optimal set of cutting tools and cutting conditions for different material properties and to give users alternatives on how to reduce cost and time.