Process Simulation and Abrasion Behavior of Jet Electrodeposited Ni–TiN Nanocoatings

Zhongguo Yang,Qiang Li,Songhao Tang,Shujuan Yi,Longkui Cao

doi:10.3390/coatings12010086

Abstract

In this work, we study jet-electrodeposited Ni–TiN composite nanocoatings (CNCs) for improving abrasion resistance as a function of various nozzle diameters. In addition, COMSOL software is utilized to simulate the process of jet electrodeposition, particularly the influence of spraying speed and pressure of the electrolyte on the abrasion resistance of coatings. Optimization of the nozzle diameter to obtain uniform and high-performance coatings showed that a Φ7 mm nozzle diameter generated the optimum spraying speed and spraying pressure, which results in good micro-hardness and abrasion resistance of the Ni–TiN CNCs. Under these conditions, the 45 steel substrates are coated with a compact layer of uniform and nano-sized TiN particles, which are responsible for the high abrasion resistance of our Ni–TiN CNCs. Our study may motivate researchers to study jet electrodeposition in order to obtain abrasion-resistant coatings.

Highlights

In the recent decades, the traditional manufacturing industry began to shift to the advanced manufacturing industry
The spraying speed and spraying pressure of the electrolyte generated from a Φ7 mm nozzle diameter was optimum and produced Ni–TiN composite nanocoatings (CNCs) of the best quality
The Ni–TiN CNCs produced under these conditions contained a dense and smooth microstructure, containing a large number of TiN nanoparticles

Summary

Introduction

The traditional manufacturing industry began to shift to the advanced manufacturing industry (such as digital and intelligent fields). Xia et al [9] prepared Ni–Al2O3 composite nanocoatings (CNCs) on the surface of Q235 steel substrate via an ultrasonic-assisted jet pulse electrodeposition method. The process resulted in the coating of agglomeration free coating of nano-size Al2O3 particles due to which corrosion resistance of Ni–Al2O3 CNCs was distinctly improved. Ma et al [11] used an AR model in the MATLAB software for predicting the micro-hardness of Ni–TiN CNCs. Recently, Ma et al [11] used an AR model in the MATLAB software for predicting the micro-hardness of Ni–TiN CNCs These results show that, embedding nano-sized particles into the metal matrix through electrodeposition technology is an effective approach for improving the performance of composite coatings

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