The Research on Edged Detecting in CNC Engraving Technology Based on Reverse Engineering

Chuan Qi Wang; Jian Zhang; Wei Rong Wang; Xue Jing Gu

doi:10.4028/www.scientific.net/AMR.655-657.1237

Paper Titles

Comprehensive Evaluation on Reliability of Machine Tools Based on Extension Method to Determine Membership Degree
p.1218

Parameter Optimization of Thermal Error of NC Machine Based on Matlab
p.1224

Research on the Interpolation Processing Based on the Acceleration Control Information
p.1228

The Application of the Improved Bootstrap Method in the Verification of Maintainability Indicators of CNC Machine Tools
p.1232

The Research on Edged Detecting in CNC Engraving Technology Based on Reverse Engineering
p.1237

How to Guarantee the Machining Accuracy of the Improved Numerical Control Machine
p.1242

Research of NURBS Based Approach for Fitting Contour of Windshield
p.1246

Automated Layer Aligning and Stacking System for the Fully Dense Freeform Fabrication Process
p.1251

An Algorithm for Determining the Nested Relation between Contours of Complex Parts Applied in Laser Cutting
p.1256

HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 655-657The Research on Edged Detecting in CNC Engraving...

The Research on Edged Detecting in CNC Engraving Technology Based on Reverse Engineering

Abstract:

Currently, the ancient calligraphy and painting are widely used in decoration screen; however, the processing technic is normally based on manual manipulation. Normally, this kind of processing is not efficient, and with highly cost. In addition, it could not maintain the original artistic style in maximum. the paper proposes to process the sculpture of ancient calligraphy according to its photo, by adopting the CNC technology based on reverse engineering method, which enables to mostly keep the original artistic style, and to create the CNC code automatically with the assistant of image processing to achieve intelligent machining.

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Periodical:

Advanced Materials Research (Volumes 655-657)

Pages:

1237-1241

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.655-657.1237

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Online since:

January 2013

Authors:

Chuan Qi Wang, Jian Zhang, Wei Rong Wang, Xue Jing Gu

Keywords:

Computerized Numerical Control (CNC), Image Processing, Reverse Engineering (RE), Sub-Pixel

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References

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