For Libraries For Publication Open Access Downloads About Us Contact Us
Paper Titles
Independent Innovation Network Teaching Platform Research
p.1899
The Design and Implementation of a Parallel Configurable Paseudorandom Sequence Generator
p.1903
Limit Deformation Analysis of Rectangular Stiffened Plate to Near-Filed Explosions
p.1907
Microcrystalline Silicon Thin Films and Triple-Junction Solar Cells
p.1912
Micro-End-Milling Wear Automatic Inspection System Based on Effective Corner Detection Method
p.1916
Loss and Gain of the Public Participation in Kunshan Master Plan
p.1920
Mechanical Properties of Aged Cord-Rubber Composites
p.1927
Method to Aid Modules Innovation by Patent Knowledge
p.1931
Logistic Performance Evaluation of Squeeze Casting Equipments Based on Simulation
p.1936

Micro-End-Milling Wear Automatic Inspection System Based on Effective Corner Detection Method

Article Preview

Abstract:

The objective of this study is to measure flank wear of dry milling 6061 aluminum alloy of different PVD (Physical Vapour Deposition) multilayer coatings (including TiN, TiCN, and TiAlN) single edge rhombus micro-end-milling tools. All of the experiments were designed using the Taguchi method in order to obtain robust results. In order to realize the level of importance of each machining parameter, the L9(34) orthogonal array, analysis of variance (ANOVA), and signal-to-noise (S/N) ratio were determined. The tool wear images are captured using a machine vision system incorporated with an effective corner detection algorithm. During the milling test, we fixed spindle speed at 6000 rpm and feed rate at 0.0125 mm/rev to investigate the correlation between side clearance angle and coating materials. The experimental results show that TiCN-coating mills generate minimum flank wear and longest tool life.

You might also be interested in these eBooks
Automation Equipment and Systems View Preview

Info:

Periodical:

Advanced Materials Research (Volumes 468-471)

Pages:

1916-1919

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.468-471.1916

Citation:

Cite this paper

Online since:

February 2012

Authors:

Yu Teng Liang, Yih Chih Chiou

Keywords:

Corner Detection, Machine Vision, Rhombus Micro-End-Mill, SPC Inspection Technique, Taguchi Method

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

© 2012 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

References

[1] D. E. Dimla: Int. J. Advanced Manufacturing Technology, Vol. 19 (2002), p.705

Google Scholar

[2] H. Kashiwagi, Y. Nagayaran, K. Shibuta, H. Watanabe and H. Oka: SICE Annual Conference (2003), p.1723

Google Scholar

[3] Y. T. Liang, Y. C. Chiou: Adv. Sci. Lett. Vol. 4, No. 6/7 (2011), p. (2059)

Google Scholar

[4] Y.J. Choi, S.C. Chung: Transactions of NAMRI/SME, Vol. 32 (2006), p.143

Google Scholar

[5] S. Sreeram, A.S. Kumar, M. Rahman, M.T. Zaman: Int. J. Adv. Manuf. Technol. Vol. 30 (2006), p.1030

Google Scholar

[6] C. C. Tsao: Int. J. Mach. Tools Manuf. Vol. 36 (2008), p.11

Google Scholar

[7] F. Ke, J. Ni, D.A. Stephenson: Int. J. Mach. Tools Manuf. Vol. 45 (2005), p.1652

Google Scholar

[8] P. Begoña, A. Gorka, R. Asunción, Luis N. López de Lacalle: Int. J. Mach. Tools Manuf. Vol. 45 (2005), p.1614

Google Scholar

[9] K. H. Lee, David A. Dornfeld: Precision Engineering Vol. 29 (2005), p.246

Google Scholar

© 2025 Trans Tech Publications Ltd. All rights are reserved, including those for text and data mining, AI training, and similar technologies. For open access content, terms of the Creative Commons licensing CC-BY are applied.
Scientific.Net is a registered trademark of Trans Tech Publications Ltd.