Intelligent Cutting Tool Selection for Milling Based on STEP-NC Machining Features

Hua Bing Ouyang

doi:10.4028/www.scientific.net/AMM.635-637.589

Paper Titles

Multi-Domain Unified Modeling and Simulation of the Electrical Vehicle
p.568

Parametric Design of ITER Outer-Cryostat Based on Application Development of CATIA
p.573

Rapid NC Machining Technology for Hole and Groove Parts Based on UG Feature Recognition
p.579

Impact of Grid Type on the Stress-Strain of 175F Diesel Engine Piston Structure Calculated by the Finite Element
p.584

Intelligent Cutting Tool Selection for Milling Based on STEP-NC Machining Features
p.589

Performance Evaluation of Spring for the Vehicle Suspension System Using the Nonlinear Finite Element Method
p.594

Research on the Angle of Swirl Chamber Diesel Engine with Dual Channel
p.598

A Fast Method of Dynamic Maize-3D-Modeling Based VRML
p.603

Build 3D Electronic Map Lama Temple
p.607

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 635-637Intelligent Cutting Tool Selection for Milling...

Intelligent Cutting Tool Selection for Milling Based on STEP-NC Machining Features

Abstract:

A framework of an intelligent tool selection system for milling based on STEP-NC machining features is proposed. The main objective of the research is to develop a procedure for the selection of cutting tools. This will help the planners to select the optimal cutting tools. The proposed system consists of the knowledge base module, the inference engine, the user interface and the database. The implementation of the presented system is developed in Solidworks. An example is given to demonstrate the feasibility and efficiency of the prototype system. As a result, this research shows a high potential to aid the development of tool selection and process planning milling system.

You might also be interested in these eBooks

Advanced Design and Manufacturing Technology IV

View Preview

Info:

Periodical:

Applied Mechanics and Materials (Volumes 635-637)

Pages:

589-593

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.635-637.589

Citation:

Cite this paper

Online since:

September 2014

Authors:

Hua Bing Ouyang*

Keywords:

Feature Recognition, Machining Features, STEP-NC, Tool Selection

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

* - Corresponding Author

References

[1] Xu X, Wang L, Newman S T. Computer-aided process planning – A critical review of recent developments and future trends[J]. International Journal of Computer Integrated Manufacturing. 2011, 24(1): 1-31.

DOI: 10.1080/0951192x.2010.518632

Google Scholar

[2] Amaitik S, Kiliç S. An intelligent process planning system for prismatic parts using STEP features[J]. The International Journal of Advanced Manufacturing Technology. 2007, 31(9): 978-993.

DOI: 10.1007/s00170-005-0269-5

Google Scholar

[3] Edalew K O, Abdalla H S, Nash R J. A computer-based intelligent system for automatic tool selection[J]. Materials and Design. 2001, 22(5): 337-351.

DOI: 10.1016/s0261-3069(00)00106-0

Google Scholar

[4] Fernandes K J, Raja V H. Incorporated tool selection system using object technology[J]. International Journal of Machine Tools and Manufacture. 2000, 40(11): 1547-1555.

DOI: 10.1016/s0890-6955(00)00027-4

Google Scholar

[5] S Ski J, Salonen T, Paro J. Integration of CAD, CAM and NC with Step-NC[J]. Espoo, VTT. 2005, 23: 938-951.

Google Scholar

[6] Newman S T, Nassehi A, Xu X W, et al. Strategic advantages of interoperability for global manufacturing using CNC technology[J]. Robotics and Computer-Integrated Manufacturing. 2008, 24(6): 699-708.

DOI: 10.1016/j.rcim.2008.03.002

Google Scholar