For Libraries For Publication Open Access Downloads About Us Contact Us
Paper Titles
Experimental Research on Electroforming Nano-ZrO2 Reinforced Cu-Matrix Composite Aided by Pulse Power
p.95
Effect of Abrasive Particle Size on Lapping of Sapphire Wafer by Fixed Abrasive Pad
p.106
The Thermal Stress Simulation of the Part Caused by Layer Thickness and Deposition Velocity in FDM Process
p.115
Research on Electronic Discharge Grinding of Polycrystalline Diamond Based on Response Surface Method
p.123
Fabrication and EDM Corrosion Resistance of Copper Electroforming Layer on Tube Electrode for Aero-Engine Blade Cooling Hole in EDM Process
p.133
The Investigation of the Effect Caused by Deposition Velocity on Bonding Degree within the Structure of FDM
p.142
Quantitative Study on Abrasive Belt Wear Based on Geometric Parameters
p.156
Influence of Nano Al2O3 Particles on Morphology and Microstructure of Cu-Al2O3 Composite Coating by Jet Electrodeposition
p.164
Research on Milling Deformation in Ultrasonic Vibration Assisted End Milling of Titanium Alloy Thin-Walled Parts
p.174

Fabrication and EDM Corrosion Resistance of Copper Electroforming Layer on Tube Electrode for Aero-Engine Blade Cooling Hole in EDM Process

Article Preview

Abstract:

The process parameters of fundamental electroforming solution were optimized firstly. Furthermore, some pure copper electroforming samples were prepared in the condition of different nana La2O3 addition quantity. Three main material properties evaluated. In addition, the EDM machining experiments were conducted to verify the characteristics of electrical corrosion resistance resulting from the prepared copper tube electroforming samples for cooling hole of Inconel718 nickel alloy. EDM experimental results demonstrate that copper electroforming layer with grain size 15.9μm, microhardness 98.2HV, with 1.2g/L addition quantity of nana La2O3, and its electrode loss rate decrease 13.29% and 7.26% than pure copper and copper electroforming layer without nana La2O3 addition respectively.

You might also be interested in these eBooks
Superalloys II View Preview
Advanced Materials and Manufacturing Technology III View Preview

Info:

Periodical:

Key Engineering Materials (Volume 764)

Pages:

133-141

DOI:

https://doi.org/10.4028/www.scientific.net/KEM.764.133

Citation:

Cite this paper

Online since:

February 2018

Authors:

Zhi Yong Li*, Qing Wei Cui, Bin Chen, Ji Xu, Hun Guo

Keywords:

Corrosion Resistance, Electrode Loss Rate, Electroforming, Nano-La2O3

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

© 2018 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

* - Corresponding Author

References

[1] A.R.C. Sharman, J.I. Hughes, K. Ridgway, Workpiece surface integrity and tool life issues when turning Inconel718 nickel based super-alloy. Mach Sci Technol, 8(2004)(3): 399-414.

DOI: 10.1081/mst-200039865

Google Scholar

[2] J. Benes, Hole making trends run deep, fast and dry, Am Mach. 144(2000)(5): 97-104.

Google Scholar

[3] P. Kuppan, A. Rajadurai, S. Narayanan, Influence of EDM process parameters in deep hole drilling on Inconel718, International Journal of Manufacturing Technology. 38(2008): 74-84.

DOI: 10.1007/s00170-007-1084-y

Google Scholar

[4] Y. Oguzhan, M.A. Okka. Effect of single and multi-channel electrodes application on EDM fast hole drilling performance, International Journal of Manufacturing Technology. 51(2010): 185-194.

DOI: 10.1007/s00170-010-2625-3

Google Scholar

[5] D.K. Aspinwall, S.L. Soo, A.E. Berrisford, G. Walder. Workpiece surface roughness and integrity after WEDG of Ti-6Al-4V and Inconel718 using minimum damage generator technology, CIRP Annals-Manufacturing Technology. 57(2008): 187-190.

DOI: 10.1016/j.cirp.2008.03.054

Google Scholar

[6] X.L. LI, G.F. YIN, C.Y. LIN, Tool wear prediction in electrical discharge machining based on evolutionary neural network, Chinese Journal of Mechanical Engineering. 40(2004)(3): 61-65.

DOI: 10.3901/jme.2004.03.061

Google Scholar

[7] A.A. KHAN, Electrode wear and material removal rate during EDM of aluminum and mild steel using copper and brass electrodes, International Journal of Advanced Manufacturing Technology. 38(2008)(5-6): 482-487.

DOI: 10.1007/s00170-007-1241-3

Google Scholar

[8] D. ZHU, Y.B. ZENG, Micro electroforming of high-aspect-ratio metallic microstructures by using a movable mask, CIRP Annals - Manufacturing Technology. 57(2008): 227-230.

DOI: 10.1016/j.cirp.2008.03.092

Google Scholar

[9] K.P. WONG, K.C. CHAN, T.M. YUE, A study of hardness and grain size in pulse current electroforming of nickel using different shaped waveforms, Journal of Applied Electrochemistry. 31(2001): 25-34.

Google Scholar

[10] E.W. ALLAN, C.E. BOCKING, G.R. BENNETT, Electroforming of rapid prototyping mandrels for electro-discharge machining electrodes, Journal of Materials Processing Technology. 110(2001): 186-196.

DOI: 10.1016/s0924-0136(00)00878-5

Google Scholar

[11] L. LI, X. CHEGN, Z.Y. LI, Z.W. NIU., Electrical discharge machining of sintered NdFeB magnet using electrode posited Cu-SiC electrode, Journal of Functional Materials. 44(2013)(22): 3335-3338.

Google Scholar

[12] L. Li, F.S. YIN, Z.W. NIU, G.M. YUAN, Electroforming SiC reinforced Cu based composite electrode, Journal of Functional Materials. 44(2013)(22): 1188-1190.

Google Scholar

[13] Z.W. ZHU, D. ZHU, Effect of hard particle perturbation on microstructure and property of electroformed copper, The Chinese Journal of Nonferrous Metals. 16(2006)(9): 1558-1562.

Google Scholar

[14] Z.Y. LI, X.T. WEI, Y.B. GUO, M.P. SEALY, State-of-art, challenges, and outlook on manufacturing of cooling holes for turbine blades, Machining Science and Technology. 19(2015): 361-399.

DOI: 10.1080/10910344.2015.1051543

Google Scholar

[15] A.M. ALFANTAZI, U. ERB, Micro hardness and thermal stability of pulse-plated Zn-Ni alloy coatings, Materials Science and Engineering. 212(1996)(1): 123-129.

DOI: 10.1016/0921-5093(96)10187-8

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.