Automatic Recognition of Multi-Axis Machining Features Based on Machining Process from 3D Solid Model

Phung Xuan Lan; Hoang Vinh Sinh

doi:10.4028/www.scientific.net/AMM.789-790.873

Paper Titles

The Turning Speed of Stability Control in Electric Learner-Driven Vehicle Driving
p.849

Innovative Algorithm and Software for Three-Dimension Topography Evaluation in Laser-Micro Machining
p.853

Finite Element Analysis on Vibration of a Piezoelectric Micro Pump
p.861

Simulation of Closed Loop Electro-Hydraulic Actuator Using PID Based on AMESim
p.865

Automatic Recognition of Multi-Axis Machining Features Based on Machining Process from 3D Solid Model
p.873

Control Strategy and Deterministic Optimization Research for Parallel Compound Braking System
p.878

Extended Modeling of Vertical Axis Motion Dynamics of VTOL Vehicle
p.883

Kinematics Optimization of a 3-SPS Parallel Redundant Motion Mechanism Using Conformal Geometric Algebra
p.889

Design of Transfer Alignment for Micro-Inertial Attitude Measurement System Based on Distributed
p.896

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 789-790Automatic Recognition of Multi-Axis Machining...

Automatic Recognition of Multi-Axis Machining Features Based on Machining Process from 3D Solid Model

Abstract:

This paper presents an effective rule-based method for extracting and recognizing the machining features from 3D solid model. The machining feature is automatically recognized while considering the relationship between machining feature and machining process. This proposed method is capable of recognizing not only prismatic machining features but also multi-axis machining features from many kinds of complex design features in both protrusion and depression. It also succeeds in recognizing various types of interaction in a uniform way. The capability of the proposed method is demonstrated in one specific case study.

You might also be interested in these eBooks

View Preview

Info:

Periodical:

Applied Mechanics and Materials (Volumes 789-790)

Pages:

873-877

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.789-790.873

Citation:

Cite this paper

Online since:

September 2015

Authors:

Phung Xuan Lan*, Hoang Vinh Sinh

Keywords:

Computer Aided Process Planning, Manufacturing Feature, Rule-Based Method

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

* - Corresponding Author

References

[1] B. Babic, N. Nesic, Z. Miljkovic: A review of automated feature recognition with rule based pattern recognition. Computers in Industry Vol. 59, 4 (2008), pp.321-337.

DOI: 10.1016/j.compind.2007.09.001

Google Scholar

[2] X. Zhou, Y. Qiu, G. Hua, H. Wang, X. Ruan: A feasible approach to the integration of CAD and CAPP. Computer-Aided Design Vol. 39, 4 (2007), pp.324-338.

DOI: 10.1016/j.cad.2007.01.005

Google Scholar

[3] M.T. Hayasi, B. Asiabanpour: Extraction of manufacturing information from design-by-feature solid model through feature recognition. Int J Adv Manuf Technology Vol. 44, 11 (2009), pp.1191-1203.

DOI: 10.1007/s00170-008-1922-6

Google Scholar

[4] E.S.A. Nasr, A. K. Kamrani: A new methodology for extracting manufacturing features from CAD system. Computers & Industrial Engineering Vol. 51, 3 (2006), p.389–415.

DOI: 10.1016/j.cie.2006.08.004

Google Scholar

[5] V.B. Sunil, R. Agarwal, S.S. Pande: An approach to recognize interacting features from B-Rep CAD models of prismatic machined parts using a hybrid (graph and rule based) technique. Computers in Industry Vol 61, 7 (2010), p.686–701.

DOI: 10.1016/j.compind.2010.03.011

Google Scholar