Accurate NC Program Generation Based on New Model Editing Process

Giorgiana Elena Armasoiu

doi:10.4028/www.scientific.net/AMM.809-810.805

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 809-810Accurate NC Program Generation Based on New Model...

Accurate NC Program Generation Based on New Model Editing Process

Abstract:

This paper emphasizes the benefits of part-model editing process that does not depend on hystory-based modelling system. The use of synchronous technology in mechanical engineering applications allows the NC programmer to efficiently generate the NC program regardless the source of 3D model. The programming and machining process can be more efficient if the intuitive geometric changes on 3D model are allowed. Synchronous technology makes possible NC programmer’s intervention over 3D model geometry, without breaking the rules defined in CAD. Synchronous technology works with both, native and non-native models and it is available in NX and Solid Edge. With synchronous technology, the changes are performed with or without regard to the history of the model.

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Periodical:

Applied Mechanics and Materials (Volumes 809-810)

Pages:

805-810

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.809-810.805

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Cite this paper

Online since:

November 2015

Authors:

Giorgiana Elena Armasoiu*

Keywords:

3D Model, CAD/CAM, Parametric Modelling, Synchronous Technology

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* - Corresponding Author

References

[1] P.N. Rao, CAD/CAM: Principles and Applications, second edition, Tata McGraw-Hill Publishing Company Ltd., (2004).

Google Scholar

[2] E.N. Wiebe, 3-D Constraint-based Modelling: Finding Common Themes, Engineering Design Graphics Journal. 63, 3 (1999) 15-31.

Google Scholar

[3] C. Hoffmann, R. Joan-Arinyo, Parametric Modelling, Handbook of CAGD, Elsevier, 2002, pp.519-541.

Google Scholar

[4] D. Ushakov, Variational Direct Modeling: How to Keep Design Intent in History-Free CAD, LEDAS Ltd., (2008).

Google Scholar

[5] J.J. Shah, M. Mantyla, Parametric and Feature-based CAD-CAM, John Wiley and Sons, Inc, New York, (1995).

Google Scholar

[6] Synchronous Technology: A white paper prepared by Collaborative Product Development Associates, LLC for Siemens PLM Software, available at: http: /www. plm. automation. siemens. com, accessed: 17. 02. (2015).

Google Scholar

[7] J.H. Han, I. Han, E. Lee, J. Yi, Manufacturing feature recognition toward integration with process planning, IEEE Transactions Systems, Man and Cybernetics. Part B. Cybernetics. 21 (2001) 373–380.

DOI: 10.1109/3477.931522

Google Scholar

[8] J.H. Han, I. Han, E. Lee, J. Yi, Manufacturing feature recognition toward integration with process planning, IEEE Transactions Systems, Man and Cybernetics. Part B. Cybernetics. 21 (2001) 373–380.

DOI: 10.1109/3477.931522

Google Scholar

[9] A.D. McCormack, R.N. Ibrahim, Process planning using adjacency-based features, Int. J. of Advanced Manufacturing Technology. 20 (2002) 817–823.

DOI: 10.1007/s001700200222

Google Scholar

[10] R. Bidarra, W.F. Bronsvoort, Semantic feature modeling, Computer-Aided Design. 32 (2000) 201–225.

DOI: 10.1016/s0010-4485(99)00090-1

Google Scholar