Applying Image Processing Methods to Positional Error Evaluation for a Microhole Array

Dar Yuan Chang; Yu Xiao Lai; Ren Bin Fu

doi:10.4028/www.scientific.net/AMR.538-541.2131

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 538-541Applying Image Processing Methods to Positional...

Applying Image Processing Methods to Positional Error Evaluation for a Microhole Array

Abstract:

A microhole array is a critical feature in high-precision products, and acts as a microchannel for fluid delivery or a guiding hole for needle positioning. The precision of microhole fabrication affects the functions of product directly. This study presents a computer vision system that uses image processing methods to evaluate the positional error of a microhole array. A ceramic microhole array drilled by microdrilling process was made to demonstrate the proposed method. Analytical results show that the positional error is related to the precision of machining device noticeably and decreases with the number of holes drilled when adopts the mechanical microdrilling process.

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Periodical:

Advanced Materials Research (Volumes 538-541)

Pages:

2131-2134

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.538-541.2131

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Online since:

June 2012

Authors:

Dar Yuan Chang*, Yu Xiao Lai, Ren Bin Fu

Keywords:

Image Processing, Micro-Drilling, Microhole Array, Positional Error

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* - Corresponding Author

References

[1] L. Lin, C. Diver, J. Atkinson, R. Giedl-Wagner R, H.J. Helml: Sequential laser and EDM micro-drilling for next generation fuel injection nozzle manufacture, Annals of the CIRP Vol. 55 (2006), pp.179-182.

DOI: 10.1016/s0007-8506(07)60393-x

Google Scholar

[2] Information on http://www.bastech.com/3dprinting , last accessed on September 23, 2011.

Google Scholar

[3] Information on http://www.jemam.com/vertical.htm, last accessed on October 25, 2011.

Google Scholar

[4] G.J. Kaisarlis, S.C. Diplaris, M.M. Sfantsikopoulos: Position tolerancing in reverse engineering: the fixed fastener case, Proceeding of the Institution of Mechanical Engineers Part B: Journal of Engineering Manufacture Vol. 221 (2007), pp.457-465.

DOI: 10.1243/09544054jem703

Google Scholar

[5] M.J. Kaiser: The containment model for composite positional tolerance evaluation, Precision Engineering Vol.24 (2000), pp.291-301.

DOI: 10.1016/s0141-6359(00)00035-0

Google Scholar

[6] J.C. Su, C.K. Huang, Y.S. Tarng: An automated flank wear measurement of microdrills using machine vision, Journal of Materials Processing Technology Vol.180 (2006), pp.328-335.

DOI: 10.1016/j.jmatprotec.2006.07.001

Google Scholar

[7] C.K. Huang, Y.S. Tarng, C.Y. Chiu, A.P. Huang, 2009: Investigation of machine vision assisted automatic resharpening process of micro-drills, Journal of Materials Processing Technology Vol. 209 (2009), pp.5944-5954.

DOI: 10.1016/j.jmatprotec.2009.07.013

Google Scholar

[8] D.Y. Chang, S.Y. Lin: Tool wear, hole characteristics and manufacturing tolerance in alumina ceramic micro-drilling process, Materials and Manufacturing Processes Vol 27 (2012), pp.306-313.

DOI: 10.1080/10426914.2011.577881

Google Scholar

[9] A. McAndrew, J.H. Wang, C.S. Tseng: Introduction to digital image processing with MATLAB, Asia Edition, CENGAGE Learning (2010), Chapter 9 .

Google Scholar