An improved optimization model to predict the microhardness of Ni/Al2O3 nanocomposite coatings prepared by electrodeposition: A hybrid artificial neural network-modified particle swarm optimization approach-Reference-Cited by-同舟云学术

An improved optimization model to predict the microhardness of Ni/Al2O3 nanocomposite coatings prepared by electrodeposition: A hybrid artificial neural network-modified particle swarm optimization approach

Published:2021-07 Issue: Volume:179 Page:109423
ISSN:0263-2241
Container-title:Measurement
language:en
Short-container-title:Measurement

Author:

Dehestani Mahboubeh,Khayati Gholam Reza,Sharafi Shahriar

Publisher

Elsevier BV

Subject

Applied Mathematics,Electrical and Electronic Engineering,Condensed Matter Physics,Instrumentation

Reference45 articles.

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2. Nanoscale structural defects in electrodeposited Ni/Al2O3 composite coatings;Góral;Surf. Coat. Technol.,2017

3. Slurry erosion performance of Ni-Al2O3 based thermal-sprayed coatings: Effect of angle of impingement;Grewal;J. Therm. Spray Technol.,2014

4. Microstructural characterization of Al2O3–Ni composites prepared by electroless deposition;Oh;Surf. Coat. Technol.,2005

5. Microstructure and corrosion resistance of Ni-Al2O3-SiC nanocomposite coatings produced by electrodeposition technique;Dehgahi;J. Alloy. Compd.,2017

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