Subdivision Method for Mold Cavity Surface Based on the Improved Image Direction Information Measure

Yi Shu Zhai; Xin Pan; Yu Jun Cai; Hua Shen

doi:10.4028/www.scientific.net/AMM.138-139.175

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 138-139Subdivision Method for Mold Cavity Surface Based...

Subdivision Method for Mold Cavity Surface Based on the Improved Image Direction Information Measure

Abstract:

In order to enhance the processing efficency of complex cavity surfaces by using iso-scallop height method, a subdivision method based on the improved image direction information measure is proposed in this paper. According to the relationship between maximum cutting bandwidth and cutting direction in the theory of iso-scallop height, the method constructed an optimal cutting direction angle field image in the u-v system of parameters firstly; and then an improved direction information measure definition which combined with the characters of the angle field image was proposed; Finally, the subdivision boundary for mold cavity surface was identified by using the direction measure as the edge characteristic index. Experimental results indicate that the proposed method demonstrates good performance in distinguishing and extracting boundary points of surface subdivision.

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Periodical:

Applied Mechanics and Materials (Volumes 138-139)

Pages:

175-180

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.138-139.175

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Online since:

November 2011

Authors:

Yi Shu Zhai, Xin Pan, Yu Jun Cai, Hua Shen

Keywords:

Boundary Extraction, Direction Information Measure, Optimal Cutting Direction Angle Field Image, Subdivision

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References

[1] Bingyin Ren, Yuyong Tang: Geometric Modeling Theory and Application in Numerical Control Machining. Harbin: Harbin Institute of Technology Press, (2000).

Google Scholar

[2] Suresh K, Yang D. C. H. Yang: Constant Scallop-Height Machining of Free Form Surfaces, ASME Journal of Engineering for Industry，Vol. 116 (1994), pp.253-259.

DOI: 10.1115/1.2901938

Google Scholar

[3] Choi B K. Lee C. S. Park: Boundary Extraction Algorithm for Cutting Area Detection. Computer-aided Design, Vol. 33 (2001), pp.571-579.

DOI: 10.1016/s0010-4485(00)00101-9

Google Scholar

[4] Zezhong C. Chen, Zuomin Dong: Geoffrey W. Vickers: Automated Surface Subdivision and Tool Path Generation for -Axis CNC Machining Of Sculptured Parts. Computers in Industry, Vol. 50 (2003), pp.319-331.

DOI: 10.1016/s0166-3615(03)00019-8

Google Scholar

[5] Jieqiong Lin, Wang Yiqiang: Subdivision Planning of Complex Free-Form Surface, Journal of Jilin University (Engineering and Technology Edition), Vol. 37 (2007) , pp.386-390.

Google Scholar

[6] Yang Xuan Liang Dequn: Multiscale Edge Detection Based On Direction Information, Journal of Xidian University, Vol. 24 (1997), pp.524-530.

Google Scholar