Method for Estimating the Manual Nesting Process Efficiency for Profiling Machines, Based upon Image Processing Techniques

Radu Eugen Breaz; Octavian Bologa; Sever Gabriel Racz

doi:10.4028/www.scientific.net/AMM.808.86

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Method for Estimating the Manual Nesting Process Efficiency for Profiling Machines, Based upon Image Processing Techniques
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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 808Method for Estimating the Manual Nesting Process...

Method for Estimating the Manual Nesting Process Efficiency for Profiling Machines, Based upon Image Processing Techniques

Abstract:

The paper presents a method for estimating the efficiency of the manual nesting process. By using the graphic file generated during the nesting process and using image processing techniques, the method allows the user to calculate the percentage of material used for manufacturing the parts. The method combines a manual approach - the user has to select some specific points on the graphic file with the mouse, with some image processing algorithms form Matlab software package.

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Periodical:

Applied Mechanics and Materials (Volume 808)

Pages:

86-91

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.808.86

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Online since:

November 2015

Authors:

Radu Eugen Breaz*, Octavian Bologa, Sever Gabriel Racz

Keywords:

Efficiency, Image Processing, Nesting, Profiling

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* - Corresponding Author

References

[1] H. Bitzel, et. al., Faszination Blech – Flexible Bearbeitung eines vielseitigen Werkstoffes, published by Dr. Josef Raabe Verlag, Stuttgart (1996).

Google Scholar

[2] J. Hewett, Laser water jet cools and cuts in the material world, Optics & Laser Europe no. 3, (2007).

Google Scholar

[3] Meijer J., Laser beam machining (LBM), state of the art and new opportunities, J. Mater. Process. Technol. 149, (2004), p.2–17.

Google Scholar

[4] E. Craig, Thermal Cutting, în ASM Handbook, vol. 14: Forming and Forging, 9th Edition, 4th Printing, ASM International (1996).

Google Scholar

[5] A. Dubey, V. Yadava, Laser beam machining - A review, Int. Journal of Machine Tools & Manufacture 48, (2008), p.609–628.

DOI: 10.1016/j.ijmachtools.2007.10.017

Google Scholar

[6] I. Choudhury, S. Shirley, Laser cutting of polymeric materials: An experimental investigation, Optics & Laser Technology, 42, (2010), p.503–508.

DOI: 10.1016/j.optlastec.2009.09.006

Google Scholar

[7] **, User Manual for Jetcam Expert v. 18, published by Jetcam International Holdings, Monaco (2015).

Google Scholar